no code implementations • 2 May 2024 • Saahil Islam, Venkatesh N. Murthy, Dominik Neumann, Badhan Kumar Das, Puneet Sharma, Andreas Maier, Dorin Comaniciu, Florin C. Ghesu
An accurate detection and tracking of devices such as guiding catheters in live X-ray image acquisitions is an essential prerequisite for endovascular cardiac interventions.
no code implementations • 23 Apr 2024 • Mareike Thies, Noah Maul, Siyuan Mei, Laura Pfaff, Nastassia Vysotskaya, Mingxuan Gu, Jonas Utz, Dennis Possart, Lukas Folle, Fabian Wagner, Andreas Maier
Motion artifacts can compromise the diagnostic value of computed tomography (CT) images.
no code implementations • 23 Apr 2024 • Siyuan Mei, Fuxin Fan, Mareike Thies, Mingxuan Gu, Fabian Wagner, Oliver Aust, Ina Erceg, Zeynab Mirzaei, Georgiana Neag, Yipeng Sun, Yixing Huang, Andreas Maier
Recently, X-ray microscopy (XRM) and light-sheet fluorescence microscopy (LSFM) have emerged as two pivotal imaging tools in preclinical research on bone remodeling diseases, offering micrometer-level resolution.
no code implementations • 18 Apr 2024 • Mikhail Kulyabin, Aleksei Zhdanov, Andreas Maier, Lynne Loh, Jose J. Estevez, Paul A. Constable
Visual electrophysiology is often used clinically to determine functional changes associated with retinal or neurological conditions.
no code implementations • 11 Apr 2024 • Soroosh Tayebi Arasteh, Tomas Arias-Vergara, Paula Andrea Perez-Toro, Tobias Weise, Kai Packhaeuser, Maria Schuster, Elmar Noeth, Andreas Maier, Seung Hee Yang
This study investigates anonymization's impact on pathological speech across over 2, 700 speakers from multiple German institutions, focusing on privacy, pathological utility, and demographic fairness.
1 code implementation • 9 Apr 2024 • Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Andreas Maier
Quantum computer simulation software is an integral tool for the research efforts in the quantum computing community.
no code implementations • 4 Apr 2024 • Siyuan Mei, Fuxin Fan, Fabian Wagner, Mareike Thies, Mingxuan Gu, Yipeng Sun, Andreas Maier
Deep learning-based medical image processing algorithms require representative data during development.
no code implementations • 27 Mar 2024 • Johannes Emmert, Ronald Mendez, Houman Mirzaalian Dastjerdi, Christopher Syben, Andreas Maier
Industrial process optimization and control is crucial to increase economic and ecologic efficiency.
no code implementations • 21 Mar 2024 • Mathias Öttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Arndt Hartmann, Matthias Beckmann, Peter Fasching, Andreas Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger
Specifically, we utilize 1) a style conditioning mechanism which allows to inject style information of previously unseen images during image generation and 2) a content conditioning which can be targeted to a downstream task, e. g., layout for segmentation.
no code implementations • 21 Mar 2024 • Mathias Öttl, Siyuan Mei, Frauke Wilm, Jana Steenpass, Matthias Rübner, Arndt Hartmann, Matthias Beckmann, Peter Fasching, Andreas Maier, Ramona Erber, Katharina Breininger
However, there is a notable lack of analysis and discussions on the differences between diffusion segmentation and image generation, and thorough evaluations are missing that distinguish the improvements these architectures provide for segmentation in general from their benefit for diffusion segmentation specifically.
1 code implementation • 15 Mar 2024 • Yipeng Sun, Yixing Huang, Linda-Sophie Schneider, Mareike Thies, Mingxuan Gu, Siyuan Mei, Siming Bayer, Andreas Maier
However, the choice of loss function profoundly affects the reconstructed images.
no code implementations • 5 Mar 2024 • Chang Liu, Fuxin Fan, Annette Schwarz, Andreas Maier
Multi-organ segmentation in medical images is a widely researched task and can save much manual efforts of clinicians in daily routines.
no code implementations • 4 Mar 2024 • Noah Maul, Annette Birkhold, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Philipp Berg, Markus Kowarschik, Andreas Maier
In our work, we implicitly include this information in a neural network-based model that is trained on a dataset of image-based blood flow simulations.
no code implementations • 1 Mar 2024 • Chengze Ye, Linda-Sophie Schneider, Yipeng Sun, Andreas Maier
The filter is designed for a specific orbit geometry and is obtained using a data-driven approach based on deep learning.
no code implementations • 26 Feb 2024 • Vincent Christlein, David Bernecker, Andreas Maier, Elli Angelopoulou
Convolutional neural networks (CNNs) have recently become the state-of-the-art tool for large-scale image classification.
no code implementations • 25 Feb 2024 • Alexander Schmidt, Prathmesh Madhu, Andreas Maier, Vincent Christlein, Ronak Kosti
While state-of-the-art deep neural networks show impressive results for image enhancement, they often struggle to enhance real-world images.
no code implementations • 19 Feb 2024 • Stefan Ploner, Jungeun Won, Julia Schottenhamml, Jessica Girgis, Kenneth Lam, Nadia Waheed, James Fujimoto, Andreas Maier
This is the first optimization of a 3D inverse model in an image reconstruction context in OCT.
no code implementations • 29 Jan 2024 • Yuzhong Zhou, Linda-Sophie Schneider, Fuxin Fan, Andreas Maier
We use a U-Net-based architecture for defect segmentation.
no code implementations • 29 Jan 2024 • Linda-Sophie Schneider, Gabriel Herl, Andreas Maier
X-ray computed tomography (CT) plays a key role in digitizing three-dimensional structures for a wide range of medical and industrial applications.
1 code implementation • 29 Jan 2024 • Yipeng Sun, Linda-Sophie Schneider, Fuxin Fan, Mareike Thies, Mingxuan Gu, Siyuan Mei, Yuzhong Zhou, Siming Bayer, Andreas Maier
In this study, we introduce a Fourier series-based trainable filter for computed tomography (CT) reconstruction within the filtered backprojection (FBP) framework.
no code implementations • 23 Jan 2024 • Chang Liu, Laura Klein, Yixing Huang, Edith Baader, Michael Lell, Marc Kachelrieß, Andreas Maier
The average organ dice of the proposed method is 0. 71 compared with 0. 63 in baseline model, indicating the enhancement of anatomical structures.
no code implementations • 17 Jan 2024 • Mareike Thies, Fabian Wagner, Noah Maul, Haijun Yu, Manuela Meier, Linda-Sophie Schneider, Mingxuan Gu, Siyuan Mei, Lukas Folle, Andreas Maier
The analytic Jacobian for the backprojection operation, which is at the core of the proposed method, is made publicly available.
no code implementations • 8 Jan 2024 • Adarsh Bhandary Panambur, Hui Yu, Sheethal Bhat, Prathmesh Madhu, Siming Bayer, Andreas Maier
The assessment of breast density is crucial in the context of breast cancer screening, especially in populations with a higher percentage of dense breast tissues.
no code implementations • 25 Dec 2023 • Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas Maier
This study leverages graph neural networks to integrate MELC data with Radiomic-extracted features for melanoma classification, focusing on cell-wise analysis.
no code implementations • 22 Dec 2023 • Paul Stoewer, Achim Schilling, Andreas Maier, Patrick Krauss
Cognitive maps, as represented by the entorhinal-hippocampal complex in the brain, organize and retrieve context from memories, suggesting that large language models (LLMs) like ChatGPT could harness similar architectures to function as a high-level processing center, akin to how the hippocampus operates within the cortex hierarchy.
no code implementations • 21 Dec 2023 • Klaus-Dieter Sommer, Peter Harris, Sascha Eichstädt, Roland Füssl, Tanja Dorst, Andreas Schütze, Michael Heizmann, Nadine Schiering, Andreas Maier, Yuhui Luo, Christos Tachtatzis, Ivan Andonovic, Gordon Gourlay
This paradigm shift holds true in particular for the digital future of measurement in all spheres of our lives and the environment, where data provided by large and complex interconnected systems of sensors are to be analysed.
1 code implementation • 13 Dec 2023 • Mikhail Kulyabin, Aleksei Zhdanov, Anastasia Nikiforova, Andrey Stepichev, Anna Kuznetsova, Mikhail Ronkin, Vasilii Borisov, Alexander Bogachev, Sergey Korotkich, Paul A Constable, Andreas Maier
Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive clinical applications in ophthalmology.
no code implementations • 20 Nov 2023 • Mathias Zinnen, Azhar Hussian, Hang Tran, Prathmesh Madhu, Andreas Maier, Vincent Christlein
The paper also presents a baseline analysis, evaluating the performance of representative algorithms for detection, keypoint estimation, and classification tasks, showcasing the potential of combining keypoint estimation with smell gesture classification.
1 code implementation • 29 Sep 2023 • Yixing Huang, Christoph Bert, Ahmed Gomaa, Rainer Fietkau, Andreas Maier, Florian Putz
Incremental transfer learning, which combines peer-to-peer federated learning and domain incremental learning, can overcome the data privacy issue and meanwhile preserve model performance by using continual learning techniques.
no code implementations • 4 Jul 2023 • Paul Stoewer, Achim Schilling, Andreas Maier, Patrick Krauss
The human brain possesses the extraordinary capability to contextualize the information it receives from our environment.
no code implementations • 26 Jun 2023 • Amr Hagag, Ahmed Gomaa, Dominik Kornek, Andreas Maier, Rainer Fietkau, Christoph Bert, Florian Putz, Yixing Huang
The StyleGAN2 is then used to embed the photographs to its highly expressive latent space.
no code implementations • 5 Jun 2023 • Aline Sindel, Andreas Maier, Vincent Christlein
Unpaired image-to-image translation of retinal images can efficiently increase the training dataset for deep-learning-based multi-modal retinal registration methods.
no code implementations • 24 May 2023 • Andreas Maier, Michael Hartung, Mark Abovsky, Klaudia Adamowicz, Gary D. Bader, Sylvie Baier, David B. Blumenthal, Jing Chen, Maria L. Elkjaer, Carlos Garcia-Hernandez, Mohamed Helmy, Markus Hoffmann, Igor Jurisica, Max Kotlyar, Olga Lazareva, Hagai Levi, Markus List, Sebastian Lobentanzer, Joseph Loscalzo, Noel Malod-Dognin, Quirin Manz, Julian Matschinske, Miles Mee, Mhaned Oubounyt, Alexander R. Pico, Rudolf T. Pillich, Julian M. Poschenrieder, Dexter Pratt, Nataša Pržulj, Sepideh Sadegh, Julio Saez-Rodriguez, Suryadipto Sarkar, Gideon Shaked, Ron Shamir, Nico Trummer, Ugur Turhan, Ruisheng Wang, Olga Zolotareva, Jan Baumbach
In recent decades, the development of new drugs has become increasingly expensive and inefficient, and the molecular mechanisms of most pharmaceuticals remain poorly understood.
no code implementations • 22 May 2023 • Felix Denzinger, Michael Wels, Oliver Taubmann, Florian Kordon, Fabian Wagner, Stephanie Mehltretter, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buss, Johannes Görich, Michael Sühling, Andreas Maier
If a patient exhibits a Shepherd's Crook (SC) Right Coronary Artery (RCA) - an anatomical norm variant of the coronary vasculature - the complexity of this procedure is increased.
no code implementations • 18 May 2023 • Soroosh Tayebi Arasteh, Cristian David Rios-Urrego, Elmar Noeth, Andreas Maier, Seung Hee Yang, Jan Rusz, Juan Rafael Orozco-Arroyave
Parkinson's disease (PD) is a neurological disorder impacting a person's speech.
1 code implementation • 14 May 2023 • Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Andreas Maier
Multi-frame algorithms for single-channel speech enhancement are able to take advantage from short-time correlations within the speech signal.
Ranked #10 on Speech Enhancement on VoiceBank + DEMAND
1 code implementation • 14 May 2023 • Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Andreas Maier
Alternatively, the complex filter can be estimated via an MF minimum variance distortionless response (MVDR), or MF Wiener filter (WF).
no code implementations • 12 May 2023 • Hoai Nam Dang, Vladimir Golkov, Thomas Wimmer, Daniel Cremers, Andreas Maier, Moritz Zaiss
The found radiofrequency pulse train designs generate an optimal signal for the NN to perform the SR task.
3 code implementations • 10 May 2023 • Sebastian Lobentanzer, Shaohong Feng, The BioChatter Consortium, Andreas Maier, Cankun Wang, Jan Baumbach, Nils Krehl, Qin Ma, Julio Saez-Rodriguez
Current-generation Large Language Models (LLMs) have stirred enormous interest in recent months, yielding great potential for accessibility and automation, while simultaneously posing significant challenges and risk of misuse.
no code implementations • 30 Apr 2023 • Hiuchung Hung, Andreas Maier, Thorsten Piske
This paper introduces a non-native speech corpus consisting of narratives from fifty 5- to 6-year-old Chinese-English children.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • 24 Apr 2023 • Yixing Huang, Ahmed Gomaa, Sabine Semrau, Marlen Haderlein, Sebastian Lettmaier, Thomas Weissmann, Johanna Grigo, Hassen Ben Tkhayat, Benjamin Frey, Udo S. Gaipl, Luitpold V. Distel, Andreas Maier, Rainer Fietkau, Christoph Bert, Florian Putz
The potential of large language models in medicine for education and decision making purposes has been demonstrated as they achieve decent scores on medical exams such as the United States Medical Licensing Exam (USMLE) and the MedQA exam.
1 code implementation • 12 Apr 2023 • Thomas Wimmer, Vladimir Golkov, Hoai Nam Dang, Moritz Zaiss, Andreas Maier, Daniel Cremers
The ability of convolutional neural networks (CNNs) to recognize objects regardless of their position in the image is due to the translation-equivariance of the convolutional operation.
no code implementations • 26 Mar 2023 • Marcel Reimann, Jungeun Won, Hiroyuki Takahashi, Antonio Yaghy, Yunchan Hwang, Stefan Ploner, Junhong Lin, Jessica Girgis, Kenneth Lam, Siyu Chen, Nadia K. Waheed, Andreas Maier, James G. Fujimoto
Recent advances in optical coherence tomography such as the development of high speed ultrahigh resolution scanners and corresponding signal processing techniques may reveal new potential biomarkers in retinal diseases.
no code implementations • 21 Mar 2023 • Linda-Sophie Schneider, Mareike Thies, Christopher Syben, Richard Schielein, Mathias Unberath, Andreas Maier
We present a method for selecting valuable projections in computed tomography (CT) scans to enhance image reconstruction and diagnosis.
no code implementations • 8 Mar 2023 • Karthik Shetty, Annette Birkhold, Srikrishna Jaganathan, Norbert Strobel, Bernhard Egger, Markus Kowarschik, Andreas Maier
Objective: A digital twin of a patient can be a valuable tool for enhancing clinical tasks such as workflow automation, patient-specific X-ray dose optimization, markerless tracking, positioning, and navigation assistance in image-guided interventions.
no code implementations • 1 Mar 2023 • Mareike Thies, Fabian Wagner, Mingxuan Gu, Siyuan Mei, Yixing Huang, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Georg Schett, Silke Christiansen, Andreas Maier
Intravital X-ray microscopy (XRM) in preclinical mouse models is of vital importance for the identification of microscopic structural pathological changes in the bone which are characteristic of osteoporosis.
1 code implementation • 1 Mar 2023 • Susu Sun, Stefano Woerner, Andreas Maier, Lisa M. Koch, Christian F. Baumgartner
Furthermore, as we show in this paper, current explanation techniques do not perform adequately in the multi-label scenario, in which multiple medical findings may co-occur in a single image.
no code implementations • 22 Feb 2023 • Yunchan Hwang, Jungeun Won, Antonio Yaghy, Hiroyuki Takahashi, Jessica M. Girgis, Kenneth Lam, Siyu Chen, Eric M. Moult, Stefan B. Ploner, Andreas Maier, Nadia K. Waheed, James G. Fujimoto
Optical coherence tomography angiography (OCTA) can visualize vasculature structures, but provides limited information about the blood flow speeds.
no code implementations • 17 Feb 2023 • Philipp Sommer, Yixing Huang, Christoph Bert, Andreas Maier, Manuel Schmidt, Arnd Dörfler, Rainer Fietkau, Florian Putz
We hypothesized that using radiomics and machine learning (ML), metastases at high risk for subsequent progression could be identified during follow-up prior to the onset of significant tumor growth, enabling personalized follow-up intervals and early selection for salvage treatment.
no code implementations • 15 Feb 2023 • Kishore Surendra, Achim Schilling, Paul Stoewer, Andreas Maier, Patrick Krauss
Strikingly, we find that the internal representations of nine-word input sequences cluster according to the word class of the tenth word to be predicted as output, even though the neural network did not receive any explicit information about syntactic rules or word classes during training.
no code implementations • 13 Feb 2023 • Mareike Thies, Fabian Wagner, Noah Maul, Laura Pfaff, Linda-Sophie Schneider, Christopher Syben, Andreas Maier
In computed tomography (CT), the projection geometry used for data acquisition needs to be known precisely to obtain a clear reconstructed image.
no code implementations • 13 Feb 2023 • Noah Maul, Katharina Zinn, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Laura Pfaff, Markus Kowarschik, Annette Birkhold, Andreas Maier
Nevertheless, the prediction of high-resolution transient CFD simulations for complex vascular geometries poses a challenge to conventional deep learning models.
no code implementations • 13 Feb 2023 • Fabian Wagner, Mareike Thies, Noah Maul, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Christopher Syben, Andreas Maier
By reconstructing independent stacks of projection data, a self-supervised loss is calculated in the CT image domain and used to directly optimize projection image intensities to match the missing tomographic views constrained by the projection geometry.
1 code implementation • 6 Feb 2023 • Fei Wu, Nora Gourmelon, Thorsten Seehaus, Jianlin Zhang, Matthias Braun, Andreas Maier, Vincent Christlein
are present in the data), which exacerbates the difficulty of accurate segmentation.
Ranked #1 on Calving Front Delineation In Synthetic Aperture Radar Imagery With Fixed Training Amount on CaFFe
Calving Front Delineation In Synthetic Aperture Radar Imagery With Fixed Training Amount Segmentation
no code implementations • 24 Jan 2023 • Mathias Zinnen, Prathmesh Madhu, Ronak Kosti, Peter Bell, Andreas Maier, Vincent Christlein
The Odeuropa Challenge on Olfactory Object Recognition aims to foster the development of object detection in the visual arts and to promote an olfactory perspective on digital heritage.
no code implementations • 24 Jan 2023 • Mathias Zinnen, Prathmesh Madhu, Peter Bell, Andreas Maier, Vincent Christlein
We investigate the effect of style and category similarity in multiple datasets used for object detection pretraining.
no code implementations • 23 Jan 2023 • Adarsh Bhandary Panambur, Prathmesh Madhu, Andreas Maier
Automatic identification of patients with luminal and non-luminal subtypes during a routine mammography screening can support clinicians in streamlining breast cancer therapy planning.
Ranked #1 on Breast Cancer Detection on CMMD
1 code implementation • 11 Jan 2023 • Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas Maier, Katharina Breininger, Marc Aubreville
Additionally, to quantify the inherent scanner-induced domain shift, we train a tumor segmentation network on each scanner subset and evaluate the performance both in- and cross-domain.
no code implementations • 27 Dec 2022 • Sebastian Lobentanzer, Patrick Aloy, Jan Baumbach, Balazs Bohar, Pornpimol Charoentong, Katharina Danhauser, Tunca Doğan, Johann Dreo, Ian Dunham, Adrià Fernandez-Torras, Benjamin M. Gyori, Michael Hartung, Charles Tapley Hoyt, Christoph Klein, Tamas Korcsmaros, Andreas Maier, Matthias Mann, David Ochoa, Elena Pareja-Lorente, Ferdinand Popp, Martin Preusse, Niklas Probul, Benno Schwikowski, Bünyamin Sen, Maximilian T. Strauss, Denes Turei, Erva Ulusoy, Judith Andrea Heidrun Wodke, Julio Saez-Rodriguez
Standardising the representation of biomedical knowledge among all researchers is an insurmountable task, hindering the effectiveness of many computational methods.
no code implementations • 9 Dec 2022 • Fabian Wagner, Mareike Thies, Laura Pfaff, Noah Maul, Sabrina Pechmann, Mingxuan Gu, Jonas Utz, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Jang-Hwan Choi, Andreas Maier
We stack denoising with domain-transfer operators to utilize the independent noise realizations of different image contrasts to derive a self-supervised loss.
1 code implementation • 5 Dec 2022 • Mareike Thies, Fabian Wagner, Noah Maul, Lukas Folle, Manuela Meier, Maximilian Rohleder, Linda-Sophie Schneider, Laura Pfaff, Mingxuan Gu, Jonas Utz, Felix Denzinger, Michael Manhart, Andreas Maier
The cost function is parameterized by a trained neural network which regresses an image quality metric from the motion affected reconstruction alone.
no code implementations • 29 Nov 2022 • Fuxin Fan, Yangkong Wang, Ludwig Ritschl, Ramyar Biniazan, Marcel Beister, Björn Kreher, Yixing Huang, Steffen Kappler, Andreas Maier
The existence of metallic implants in projection images for cone-beam computed tomography (CBCT) introduces undesired artifacts which degrade the quality of reconstructed images.
no code implementations • 29 Nov 2022 • Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger
Computer-aided systems in histopathology are often challenged by various sources of domain shift that impact the performance of these algorithms considerably.
1 code implementation • CVPR 2023 • Karthik Shetty, Annette Birkhold, Srikrishna Jaganathan, Norbert Strobel, Markus Kowarschik, Andreas Maier, Bernhard Egger
Current techniques directly regress the shape, pose, and translation of a parametric model from an input image through a non-linear mapping with minimal flexibility to any external influences.
Ranked #2 on 3D Human Pose Estimation on 3DPW (using extra training data)
no code implementations • 11 Nov 2022 • Sonja Kunzmann, Mathias Öttl, Prathmesh Madhu, Felix Denzinger, Andreas Maier
Users could not detect 52. 12% of generated images by DM proofing the feasibility to replace the original cells with synthetic cells without being noticed.
no code implementations • 11 Nov 2022 • Mathias Öttl, Jana Mönius, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger
We show the suitability of Generative Adversarial Networks (GANs) and especially diffusion models to create realistic images based on subtype-conditioning for the use case of HER2-stained histopathology.
no code implementations • 10 Nov 2022 • Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas Maier
For this reason, computer-assisted approaches have gained popularity and shown promising results in tasks such as segmentation and classification of skin disorders.
no code implementations • 2 Nov 2022 • Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier
The availability of large-scale chest X-ray datasets is a requirement for developing well-performing deep learning-based algorithms in thoracic abnormality detection and classification.
1 code implementation • 2 Nov 2022 • Fabian Wagner, Mareike Thies, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Daniela Weidner, Noah Maul, Maximilian Rohleder, Mingxuan Gu, Jonas Utz, Felix Denzinger, Andreas Maier
In this work, we present an end-to-end trainable CT reconstruction pipeline that contains denoising operators in both the projection and the image domain and that are optimized simultaneously without requiring ground-truth high-dose CT data.
no code implementations • 28 Oct 2022 • Paul Stoewer, Achim Schilling, Andreas Maier, Patrick Krauss
The neural network successfully learns the similarities between different animal species, and constructs a cognitive map of 'animal space' based on the principle of successor representations with an accuracy of around 30% which is near to the theoretical maximum regarding the fact that all animal species have more than one possible successor, i. e. nearest neighbor in feature space.
no code implementations • 24 Oct 2022 • Adithya Ramachandran, Satyaki Chatterjee, Siming Bayer, Andreas Maier, Thorkil Flensmark
A minimal mean error of 7. 54% for MAPE and 417kW for RMSE is achieved with the proposed framework in comparison to all other methods.
1 code implementation • 17 Oct 2022 • Aline Sindel, Andreas Maier, Vincent Christlein
Facial landmark detection plays an important role for the similarity analysis in artworks to compare portraits of the same or similar artists.
no code implementations • 14 Oct 2022 • Srikrishna Jaganathan, Maximilian Kukla, Jian Wang, Karthik Shetty, Andreas Maier
Deep Learning-based 2D/3D registration enables fast, robust, and accurate X-ray to CT image fusion when large annotated paired datasets are available for training.
1 code implementation • 23 Sep 2022 • Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas Maier
Therefore, there is an urgent need to obfuscate the biometric information appearing in the images.
no code implementations • 20 Sep 2022 • Siyuan Mei, Fuxin Fan, Andreas Maier
During orthopaedic surgery, the inserting of metallic implants or screws are often performed under mobile C-arm systems.
no code implementations • 15 Sep 2022 • Stefan Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James Fujimoto, Andreas Maier
Optical coherence tomography (OCT) is a micrometer-scale, volumetric imaging modality that has become a clinical standard in ophthalmology.
no code implementations • 28 Aug 2022 • Thomas Weissmann, Yixing Huang, Stefan Fischer, Johannes Roesch, Sina Mansoorian, Horacio Ayala Gaona, Antoniu-Oreste Gostian, Markus Hecht, Sebastian Lettmaier, Lisa Deloch, Benjamin Frey, Udo S. Gaipl, Luitpold V. Distel, Andreas Maier, Heinrich Iro, Sabine Semrau, Christoph Bert, Rainer Fietkau, Florian Putz
For a subgroup of 10 cases, intraobserver variability was compared to the average DL autosegmentation accuracy on the original and recontoured set of expert segmentations.
no code implementations • 18 Aug 2022 • Aline Sindel, Andreas Maier, Vincent Christlein
For art investigations of paintings, multiple imaging technologies, such as visual light photography, infrared reflectography, ultraviolet fluorescence photography, and x-radiography are often used.
no code implementations • 29 Jul 2022 • Leonid Mill, Oliver Aust, Jochen A. Ackermann, Philipp Burger, Monica Pascual, Katrin Palumbo-Zerr, Gerhard Krönke, Stefan Uderhardt, Georg Schett, Christoph S. Clemen, Rolf Schröder, Christian Holtzhausen, Samir Jabari, Andreas Maier, Anika Grüneboom
Here we introduce SYNTA (synthetic data) as a novel approach for the generation of synthetic, photo-realistic, and highly complex biomedical images as training data for DL systems.
no code implementations • 21 Jul 2022 • Aline Sindel, Bettina Hohberger, Andreas Maier, Vincent Christlein
Our method extracts convolutional features from the vessel structure for keypoint detection and description and uses a graph neural network for feature matching.
no code implementations • 15 Jul 2022 • Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas Maier
Low-dose computed tomography (CT) denoising algorithms aim to enable reduced patient dose in routine CT acquisitions while maintaining high image quality.
no code implementations • 4 Jul 2022 • Farnaz Khun Jush, Markus Biele, Peter M. Dueppenbecker, Andreas Maier
On the measured data, the predictions of the proposed method are close to the expected values with MAPE of 1. 1%.
no code implementations • 24 Jun 2022 • Kubilay Can Demir, Matthias May, Axel Schmid, Michael Uder, Katharina Breininger, Tobias Weise, Andreas Maier, Seung Hee Yang
This paper presents a new multimodal interventional radiology dataset, called PoCaP (Port Catheter Placement) Corpus.
no code implementations • 22 Jun 2022 • Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Dirk Suckow, Peter Bell, Andreas Maier, Vincent Christlein
In this work, we present a novel approach called Image Composition Canvas (ICC++) to compare and retrieve images having similar compositional elements.
no code implementations • 8 Jun 2022 • Mingxuan Gu, Sulaiman Vesal, Mareike Thies, Zhaoya Pan, Fabian Wagner, Mirabela Rusu, Andreas Maier, Ronak Kosti
Then, to align the source and target features and tackle the memory issue of the traditional contrastive loss, we propose the centroid-based contrastive learning (CCL) and a centroid norm regularizer (CNR) to optimize the contrastive pairs in both direction and magnitude.
no code implementations • 26 May 2022 • Simon Langer, Oliver Taubmann, Felix Denzinger, Andreas Maier, Alexander Mühlberg
Reliably detecting diseases using relevant biological information is crucial for real-world applicability of deep learning techniques in medical imaging.
no code implementations • 19 May 2022 • Mohammad Joshaghani, Amirabbas Davari, Faezeh Nejati Hatamian, Andreas Maier, Christian Riess
In this work, we use for HSRS image classification a special class of deep neural networks, namely a Bayesian neural network (BNN).
1 code implementation • 11 May 2022 • Hendrik Schröter, Alberto N. Escalante-B., Tobias Rosenkranz, Andreas Maier
This makes the algorithm applicable to run on embedded devices in real-time.
no code implementations • 5 May 2022 • Florian Thamm, Oliver Taubmann, Markus Jürgens, Aleksandra Thamm, Felix Denzinger, Leonhard Rist, Hendrik Ditt, Andreas Maier
The best configuration detects LVOs with an AUC of 0. 91, LVOs in the ICA with an AUC of 0. 96, and in the MCA with 0. 91 while accurately predicting the affected side.
no code implementations • 3 May 2022 • Adarsh Bhandary Panambur, Prathmesh Madhu, Andreas Maier
We validate our approach by using the CBIS-DDSM dataset for two classification tasks.
no code implementations • 26 Apr 2022 • Florian Thamm, Markus Jürgens, Oliver Taubmann, Aleksandra Thamm, Leonhard Rist, Hendrik Ditt, Andreas Maier
In the work at hand, we place the algorithm in a clinical context by evaluating the labeling and occlusion detection on stroke patients, where we have achieved labeling sensitivities comparable to other works between 92\,\% and 95\,\%.
no code implementations • 26 Apr 2022 • Yixing Huang, Christoph Bert, Stefan Fischer, Manuel Schmidt, Arnd Dörfler, Andreas Maier, Rainer Fietkau, Florian Putz
With iterative continual learning (i. e., the shared model revisits each center multiple times during training), the sensitivity is further improved to 0. 914, which is identical to the sensitivity using mixed data for training.
1 code implementation • 13 Apr 2022 • Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster, Elmar Noeth, Andreas Maier, Seung Hee Yang
Navigating the challenges of data-driven speech processing, one of the primary hurdles is accessing reliable pathological speech data.
1 code implementation • 8 Apr 2022 • Tobias Weise, Philipp Klumpp, Kubilay Can Demir, Andreas Maier, Elmar Noeth, Bjoern Heismann, Maria Schuster, Seung Hee Yang
Our results are among the first to show that disentangled speech representations can be used for automatic pathological speech intelligibility assessment, resulting in a reference speaker pair invariant method, applicable in scenarios with only few utterances available.
no code implementations • 7 Apr 2022 • Achim Schilling, William Sedley, Richard Gerum, Claus Metzner, Konstantin Tziridis, Andreas Maier, Holger Schulze, Fan-Gang Zeng, Karl J. Friston, Patrick Krauss
How is information processed in the brain during perception?
no code implementations • 6 Apr 2022 • Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, YuBo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen yang, Xiyue Wang, Mitko Veta, Katharina Breininger
The goal of the MICCAI MIDOG 2021 challenge has been to propose and evaluate methods that counter this domain shift and derive scanner-agnostic mitosis detection algorithms.
no code implementations • 4 Apr 2022 • Abner Hernandez, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave, Andreas Maier, Seung Hee Yang
Compared to using Fbank features, XLSR-based features reduced WERs by 6. 8%, 22. 0%, and 7. 0% for the UASpeech, PC-GITA, and EasyCall corpus, respectively.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 4 Apr 2022 • Abner Hernandez, Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Andreas Maier, Seung Hee Yang
Collecting speech data is an important step in training speech recognition systems and other speech-based machine learning models.
no code implementations • 28 Mar 2022 • Mayank Patwari, Ralf Gutjahr, Rainer Raupach, Andreas Maier
The tuning is carried out by two deep CNNs.
no code implementations • Rheumatology (Oxford) 2022 • Lukas Folle, Sara Bayat, Arnd Kleyer, Filippo Fagni, Lorenz A Kapsner, Maja Schlereth, Timo Meinderink, Katharina Breininger, Koray Tacilar, Gerhard Krönke, Michael Uder, Michael Sticherling, Sebastian Bickelhaupt, Georg Schett, Andreas Maier, Frank Roemer, David Simon
AUROC was 75% for seropositive RA vs. PsA, 74% for seronegative RA vs. PsA and 67% for seropositive vs. seronegative RA.
no code implementations • 17 Mar 2022 • Fuxin Fan, Ludwig Ritschl, Marcel Beister, Ramyar Biniazan, Björn Kreher, Tristan M. Gottschalk, Steffen Kappler, Andreas Maier
Since the generation of high quality clinical training is a constant challenge, this study proposes to generate simulated X-ray images based on CT data sets combined with self-designed computer aided design (CAD) implants and make use of convolutional neural network (CNN) and vision transformer (ViT) for metal segmentation.
no code implementations • Frontiers in Medicine 2022 • Lukas Folle, David Simon, Koray Tascilar, Gerhard Krönke, Anna-Maria Liphardt, Andreas Maier, Georg Schett, Arnd Kleyer
Methods: We trained a novel neural network on 3D articular bone shapes of hand joints of RA and PsA patients as well as HC.
no code implementations • 22 Feb 2022 • Paul Stoewer, Christian Schlieker, Achim Schilling, Claus Metzner, Andreas Maier, Patrick Krauss
We conclude that cognitive maps and neural network-based successor representations of structured knowledge provide a promising way to overcome some of the short comings of deep learning towards artificial general intelligence.
no code implementations • 20 Feb 2022 • Fasil Gadjimuradov, Thomas Benkert, Marcel Dominik Nickel, Tobit Führes, Marc Saake, Andreas Maier
Methods: Given a set of image repetitions for a slice, a locally adaptive weighted averaging is proposed which aims to suppress the contribution of image regions affected by signal dropouts.
no code implementations • 13 Feb 2022 • Yixing Huang, Andreas Maier, Fuxin Fan, Björn Kreher, Xiaolin Huang, Rainer Fietkau, Christoph Bert, Florian Putz
The complementary view setting provides a practical way to identify perspectively deformed structures by assessing the deviation between the two views.
no code implementations • 8 Feb 2022 • Felix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas Maier, Katharina Breininger
With coronary artery disease (CAD) persisting to be one of the leading causes of death worldwide, interest in supporting physicians with algorithms to speed up and improve diagnosis is high.
1 code implementation • 7 Feb 2022 • Aline Sindel, Abner Hernandez, Seung Hee Yang, Vincent Christlein, Andreas Maier
With the increasing number of online learning material in the web, search for specific content in lecture videos can be time consuming.
no code implementations • 1 Feb 2022 • Farnaz Khun Jush, Markus Biele, Peter M. Dueppenbecker, Andreas Maier
Ultrasound b-mode imaging is a qualitative approach and diagnostic quality strongly depends on operators' training and experience.
1 code implementation • 28 Jan 2022 • Mingxuan Gu, Sulaiman Vesal, Ronak Kosti, Andreas Maier
This restricts the development of UDA methods for new domains.
no code implementations • 27 Jan 2022 • Maja Schlereth, Daniel Stromer, Katharina Breininger, Alexandra Wagner, Lina Tan, Andreas Maier, Ferdinand Knieling
Neuromuscular diseases (NMDs) cause a significant burden for both healthcare systems and society.
1 code implementation • 27 Jan 2022 • Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Chloé Puget, Laura Diehl, Christof A. Bertram, Robert Klopfleisch, Andreas Maier, Katharina Breininger, Marc Aubreville
Due to morphological similarities, the differentiation of histologic sections of cutaneous tumors into individual subtypes can be challenging.
no code implementations • 25 Jan 2022 • Maja Schlereth, Daniel Stromer, Yash Mantri, Jason Tsujimoto, Katharina Breininger, Andreas Maier, Caesar Anderson, Pranav S. Garimella, Jesse V. Jokerst
We conclude that deep learning-supported analysis of non-invasive ultrasound images is a promising area of research to automatically extract cross-sectional wound size and depth information with potential value in monitoring response to therapy.
1 code implementation • 25 Jan 2022 • Fabian Wagner, Mareike Thies, Mingxuan Gu, Yixing Huang, Sabrina Pechmann, Mayank Patwari, Stefan Ploner, Oliver Aust, Stefan Uderhardt, Georg Schett, Silke Christiansen, Andreas Maier
Due to the extremely low number of trainable parameters with well-defined effect, prediction reliance and data integrity is guaranteed at any time in the proposed pipelines, in contrast to most other deep learning-based denoising architectures.
no code implementations • 19 Jan 2022 • Mareike Thies, Fabian Wagner, Mingxuan Gu, Lukas Folle, Lina Felsner, Andreas Maier
Learned iterative reconstruction algorithms for inverse problems offer the flexibility to combine analytical knowledge about the problem with modules learned from data.
no code implementations • 19 Jan 2022 • Mathias Öttl, Jana Mönius, Christian Marzahl, Matthias Rübner, Carol I. Geppert, Arndt Hartmann, Matthias W. Beckmann, Peter Fasching, Andreas Maier, Ramona Erber, Katharina Breininger
When evaluating the approaches on fully manually annotated images, we observe that the autoencoder-based superpixels achieve a 23% increase in boundary F1 score compared to the baseline SLIC superpixels.
no code implementations • 17 Jan 2022 • Florian Thamm, Felix Denzinger, Leonhard Rist, Celia Martin Vicario, Florian Kordon, Andreas Maier
In this report we want to present our method and results for the Carotid Artery Vessel Wall Segmentation Challenge.
no code implementations • 6 Jan 2022 • Aline Sindel, Bettina Hohberger, Sebastian Fassihi Dehcordi, Christian Mardin, Robert Lämmer, Andreas Maier, Vincent Christlein
Our method demonstrates the best registration performance on our and a public multi-modal dataset in comparison to competing methods.
1 code implementation • 22 Dec 2021 • Yixing Huang, Christoph Bert, Philipp Sommer, Benjamin Frey, Udo Gaipl, Luitpold V. Distel, Thomas Weissmann, Michael Uder, Manuel A. Schmidt, Arnd Dörfler, Andreas Maier, Rainer Fietkau, Florian Putz
To improve brain metastasis detection performance with deep learning, a custom detection loss called volume-level sensitivity-specificity (VSS) is proposed, which rates individual metastasis detection sensitivity and specificity in (sub-)volume levels.
2 code implementations • 6 Dec 2021 • Lukas Bommes, Mathis Hoffmann, Claudia Buerhop-Lutz, Tobias Pickel, Jens Hauch, Christoph Brabec, Andreas Maier, Ian Marius Peters
Instead, we frame fault detection as more realistic unsupervised domain adaptation problem where we train on labelled data of one source PV plant and make predictions on another target plant.
no code implementations • 6 Dec 2021 • Andreas Maier, Seung Hee Yang, Farhad Maleki, Nikesh Muthukrishnan, Reza Forghani
In the domain of medical image processing, medical device manufacturers protect their intellectual property in many cases by shipping only compiled software, i. e. binary code which can be executed but is difficult to be understood by a potential attacker.
1 code implementation • 3 Dec 2021 • Lukas Folle, Katharian Tkotz, Fasil Gadjimuradov, Lorenz Kapsner, Moritz Fabian, Sebastian Bickelhaupt, David Simon, Arnd Kleyer, Gerhard Krönke, Moritz Zaiß, Armin Nagel, Andreas Maier
This work paves the way for the prospective investigation of neural networks for super-resolution CEST MRI and, followingly, might lead to a earlier detection of the onset of rheumatic diseases.
no code implementations • 3 Dec 2021 • Tristan M. Gottschalk, Andreas Maier, Florian Kordon, Björn W. Kreher
Due to occurring metal artifacts, the quality of this evaluation heavily depends on the performance of so-called Metal Artifact Reduction methods (MAR).
no code implementations • 3 Dec 2021 • Florian Thamm, Oliver Taubmann, Markus Jürgens, Hendrik Ditt, Andreas Maier
Training the EfficientNetB1 architecture on 100 data sets, the proposed augmentation scheme was able to raise the ROC AUC to 0. 85 from a baseline value of 0. 56 using no augmentation.
no code implementations • 3 Dec 2021 • Satyaki Chatterjee, Siming Bayer, Andreas Maier
In combating climate change, an effective demand-based energy supply operation of the district energy system (DES) for heating or cooling is indispensable.
no code implementations • 5 Nov 2021 • Sonja Kunzmann, Christian Marzahl, Felix Denzinger, Christof A. Bertram, Robert Klopfleisch, Katharina Breininger, Vincent Christlein, Andreas Maier
Annotating data, especially in the medical domain, requires expert knowledge and a lot of effort.
1 code implementation • 11 Oct 2021 • Hendrik Schröter, Alberto N. Escalante-B., Tobias Rosenkranz, Andreas Maier
In this work, we propose DeepFilterNet, a two stage speech enhancement framework utilizing deep filtering.
no code implementations • 15 Sep 2021 • Celia Martin Vicario, Florian Kordon, Felix Denzinger, Jan Siad El Barbari, Maxim Privalov, Jochen Franke, Sarina Thomas, Lisa Kausch, Andreas Maier, Holger Kunze
The most important benefit of the MTL approach is that it is a single network for standard plane regression for all body regions with a reduced number of stored parameters.
no code implementations • 6 Sep 2021 • Seung Su Yoon, Elisabeth Preuhs, Michaela Schmidt, Christoph Forman, Teodora Chitiboi, Puneet Sharma, Juliano Lara Fernandes, Christoph Tillmanns, Jens Wetzl, Andreas Maier
In this work, automated RP detection has been introduced by the proposed framework and demonstrated feasibility, robustness, and applicability for static imaging acquisitions.
no code implementations • 31 Aug 2021 • Mathis Hoffmann, Johannes Hepp, Bernd Doll, Claudia Buerhop-Lutz, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein
While these areas can be easily identified from electroluminescense (EL) images, this is much harder for photoluminescence (PL) images.
no code implementations • 30 Aug 2021 • Guanxin Jiang, Arijit Biswas, Christian Bergler, Andreas Maier
Automatic coded audio quality assessment is an important task whose progress is hampered by the scarcity of human annotations, poor generalization to unseen codecs, bitrates, content-types, and a lack of flexibility of existing approaches.
no code implementations • 25 Aug 2021 • Fuxin Fan, Björn Kreher, Holger Keil, Andreas Maier, Yixing Huang
For direct detection from distorted markers in reconstructed volumes, an efficient automatic marker detection method using two neural networks and a conventional circle detection algorithm is proposed.
1 code implementation • 19 Aug 2021 • Christian Marzahl, Jenny Hill, Jason Stayt, Dorothee Bienzle, Lutz Welker, Frauke Wilm, Jörn Voigt, Marc Aubreville, Andreas Maier, Robert Klopfleisch, Katharina Breininger, Christof A. Bertram
Pulmonary hemorrhage (P-Hem) occurs among multiple species and can have various causes.
no code implementations • 10 Aug 2021 • Andreas Maier, Harald Köstler, Marco Heisig, Patrick Krauss, Seung Hee Yang
In this article, we perform a review of the state-of-the-art of hybrid machine learning in medical imaging.
no code implementations • 21 Jul 2021 • Srikrishna Jaganathan, Jian Wang, Anja Borsdorf, Karthik Shetty, Andreas Maier
A refinement step using the classical optimization-based 2D/3D registration method applied in combination with Deep Learning-based techniques can provide the required accuracy.
1 code implementation • MICCAI Workshop COMPAY 2021 • Christian Marzahl, Frauke Wilm, Christine Kröger, Franz F Dressler, Lars Tharun, Sven Perner, Christof Bertram, Jörn Voigt, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger
The registration of whole slide images (WSIs) provides the basis for many subsequent processing steps in digital pathology.
1 code implementation • MICCAI Workshop COMPAY 2021 • Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville
In a first approach, image patches are sampled from this region and regression is based on morphological features encoded by a ResNet-based network.
no code implementations • 6 Jun 2021 • Nadine Ruecker, Andreas Maier
Any modern system writes events into files, called log files.
1 code implementation • 21 May 2021 • Alexander Mattick, Martin Mayr, Mathias Seuret, Andreas Maier, Vincent Christlein
As of recent generative adversarial networks have allowed for big leaps in the realism of generated images in diverse domains, not the least of which being handwritten text generation.
no code implementations • 19 May 2021 • Fasil Gadjimuradov, Thomas Benkert, Marcel Dominik Nickel, Andreas Maier
The algorithm is trained on DW liver data of 60 volunteers and evaluated on retrospectively and prospectively sub-sampled data of different anatomies and resolutions.
1 code implementation • 6 May 2021 • Lukas Folle, Timo Meinderink, David Simon, Anna-Maria Liphardt, Gerhard Krönke, Georg Schett, Arnd Kleyer, Andreas Maier
Based on a dataset of HR-pQCT volumes with MC measurements for 541 patients with arthritis, a segmentation network is trained.
no code implementations • 12 Apr 2021 • Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas Maier, Dorin Comaniciu
Chest radiography is the most common radiographic examination performed in daily clinical practice for the detection of various heart and lung abnormalities.
no code implementations • 3 Apr 2021 • Jonas Denck, Jens Guehring, Andreas Maier, Eva Rothgang
Our approach is motivated by style transfer networks, whereas the "style" for an image is explicitly given in our case, as it is determined by the MR acquisition parameters our network is conditioned on.
2 code implementations • 30 Mar 2021 • Marc Aubreville, Christof Bertram, Mitko Veta, Robert Klopfleisch, Nikolas Stathonikos, Katharina Breininger, Natalie ter Hoeve, Francesco Ciompi, Andreas Maier
Hypothesizing that the scanner device plays a decisive role in this effect, we evaluated the susceptibility of a standard mitosis detection approach to the domain shift introduced by using a different whole slide scanner.
1 code implementation • 15 Mar 2021 • Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier
Our verification system is able to identify whether two frontal chest X-ray images are from the same person with an AUC of 0. 9940 and a classification accuracy of 95. 55%.
1 code implementation • 15 Mar 2021 • Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar
The proposed method is based on adversarial learning and adapts network features between source and target domain in different spaces.
no code implementations • 9 Mar 2021 • Amirabbas Davari, Christoph Baller, Thorsten Seehaus, Matthias Braun, Andreas Maier, Vincent Christlein
In this work, we propose to mitigate the class-imbalance between the calving front class and the non-calving front class by reformulating the segmentation problem into a pixel-wise regression task.
no code implementations • 24 Feb 2021 • Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Bjoern M. Eskofier, Andreas Maier
We perform a simulation study using real motion recorded with an optical tracking system.
no code implementations • 17 Feb 2021 • Jonas Denck, Jens Guehring, Andreas Maier, Eva Rothgang
A Magnetic Resonance Imaging (MRI) exam typically consists of the acquisition of multiple MR pulse sequences, which are required for a reliable diagnosis.
1 code implementation • 16 Feb 2021 • Amirabbas Davari, Saahil Islam, Thorsten Seehaus, Matthias Braun, Andreas Maier, Vincent Christlein
Moreover, we propose an improvement to the distance map-based binary cross-entropy (BCE) loss function.
no code implementations • 4 Feb 2021 • Karthik Shetty, Annette Birkhold, Norbert Strobel, Bernhard Egger, Srikrishna Jaganathan, Markus Kowarschik, Andreas Maier
First, a statistical human shape model of the human anatomy and second, a differentiable X-ray renderer.
no code implementations • 4 Feb 2021 • Srikrishna Jaganathan, Jian Wang, Anja Borsdorf, Andreas Maier
We aim to address this gap by incorporating traditional methods in deep neural networks using known operator learning.
no code implementations • 31 Jan 2021 • Merlin A. Nau, Florian Schiffers, Yunhao Li, Bingjie Xu, Andreas Maier, Jack Tumblin, Marc Walton, Aggelos K. Katsaggelos, Florian Willomitzer, Oliver Cossairt
The utilization of computational photography becomes increasingly essential in the medical field.
no code implementations • 26 Jan 2021 • Tristan M. Gottschalk, Andreas Maier, Florian Kordon, Björn W. Kreher
Metal implants that are inserted into the patient's body during trauma interventions cause heavy artifacts in 3D X-ray acquisitions.
no code implementations • 22 Jan 2021 • Philipp Roser, Annette Birkhold, Alexander Preuhs, Christopher Syben, Lina Felsner, Elisabeth Hoppe, Norbert Strobel, Markus Korwarschik, Rebecca Fahrig, Andreas Maier
Algorithmic X-ray scatter compensation is a desirable technique in flat-panel X-ray imaging and cone-beam computed tomography.
Medical Physics Image and Video Processing
no code implementations • 13 Jan 2021 • Christian Marzahl, Christof A. Bertram, Frauke Wilm, Jörn Voigt, Ann K. Barton, Robert Klopfleisch, Katharina Breininger, Andreas Maier, Marc Aubreville
We evaluated our pipeline in a cross-validation setup with a fixed training set using a dataset of six equine WSIs of which four are partially annotated and used for training, and two fully annotated WSI are used for validation and testing.
no code implementations • 11 Jan 2021 • Felix Denzinger, Michael Wels, Christian Hopfgartner, Jing Lu, Max Schöbinger, Andreas Maier, Michael Sühling
However, to enable clinical research with the help of these algorithms, a software solution, which enables manual correction, comprehensive visual feedback and tissue analysis capabilities, is needed.
no code implementations • 8 Jan 2021 • Michael Holzmann, Amirabbas Davari, Thorsten Seehaus, Matthias Braun, Andreas Maier, Vincent Christlein
An essential climate variable to determine the tidewater glacier status is the location of the calving front position and the separation of seasonal variability from long-term trends.
no code implementations • 8 Jan 2021 • Rosanna Dietrich-Sussner, Amirabbas Davari, Thorsten Seehaus, Matthias Braun, Vincent Christlein, Andreas Maier, Christian Riess
Supervised machine learning requires a large amount of labeled data to achieve proper test results.
no code implementations • 8 Jan 2021 • Andreas Hartmann, Amirabbas Davari, Thorsten Seehaus, Matthias Braun, Andreas Maier, Vincent Christlein
It is therefore important to precisely monitor the position of the calving front.
2 code implementations • 5 Jan 2021 • Christof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier, Robert Klopfleisch, Marc Aubreville
For this study, we created the first open source data-set with 19, 983 annotations of BiNC and 1, 416 annotations of MuNC in 32 histological whole slide images of ccMCT.
no code implementations • 26 Dec 2020 • Elisabeth Hoppe, Jens Wetzl, Philipp Roser, Lina Felsner, Alexander Preuhs, Andreas Maier
Continuous protocols for cardiac magnetic resonance imaging enable sampling of the cardiac anatomy simultaneously resolved into cardiac phases.
1 code implementation • 24 Dec 2020 • Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar
In this paper, we propose a spatio-temporal multi-task learning approach to obtain a complete set of measurements quantifying cardiac LV morphology, regional-wall thickness (RWT), and additionally detecting the cardiac phase cycle (systole and diastole) for a given 3D Cine-magnetic resonance (MR) image sequence.
no code implementations • 18 Dec 2020 • Jeppe R. Andersen, James A. Black, Helen M. Brooks, Emmet P. Byrne, Andreas Maier, Jennifer M. Smillie
Large logarithmic corrections in $\hat s/p_t^2$ lead to substantial variations in the perturbative predictions for inclusive $W$-plus-dijet processes at the Large Hadron Collider.
High Energy Physics - Phenomenology
1 code implementation • 10 Dec 2020 • Prathmesh Madhu, Angel Villar-Corrales, Ronak Kosti, Torsten Bendschus, Corinna Reinhardt, Peter Bell, Andreas Maier, Vincent Christlein
(2) To improve the already strong results further, we created a small dataset (ClassArch) consisting of ancient Greek vase paintings from the 6-5th century BCE with person and pose annotations.
no code implementations • 7 Dec 2020 • Chang Liu, Yixing Huang, Joscha Maier, Laura Klein, Marc Kachelrieß, Andreas Maier
For organ-specific AEC, a preliminary CT reconstruction is necessary to estimate organ shapes for dose optimization, where only a few projections are allowed for real-time reconstruction.
no code implementations • 4 Dec 2020 • Frauke Wilm, Christof A. Bertram, Christian Marzahl, Alexander Bartel, Taryn A. Donovan, Charles-Antoine Assenmacher, Kathrin Becker, Mark Bennett, Sarah Corner, Brieuc Cossic, Daniela Denk, Martina Dettwiler, Beatriz Garcia Gonzalez, Corinne Gurtner, Annika Lehmbecker, Sophie Merz, Stephanie Plog, Anja Schmidt, Rebecca C. Smedley, Marco Tecilla, Tuddow Thaiwong, Katharina Breininger, Matti Kiupel, Andreas Maier, Robert Klopfleisch, Marc Aubreville
Density of mitotic figures in histologic sections is a prognostically relevant characteristic for many tumours.
no code implementations • 20 Nov 2020 • Leonid Mill, David Wolff, Nele Gerrits, Patrick Philipp, Lasse Kling, Florian Vollnhals, Andrew Ignatenko, Christian Jaremenko, Yixing Huang, Olivier De Castro, Jean-Nicolas Audinot, Inge Nelissen, Tom Wirtz, Andreas Maier, Silke Christiansen
Nanoparticles occur in various environments as a consequence of man-made processes, which raises concerns about their impact on the environment and human health.
no code implementations • 10 Nov 2020 • Mathis Hoffmann, Thomas Köhler, Bernd Doll, Frank Schebesch, Florian Talkenberg, Ian Marius Peters, Christoph J. Brabec, Andreas Maier, Vincent Christlein
Visual inspection of solar modules is an important monitoring facility in photovoltaic power plants.
no code implementations • 29 Oct 2020 • Lennart Husvogt, Stefan B. Ploner, Siyu Chen, Daniel Stromer, Julia Schottenhamml, A. Yasin Alibhai, Eric Moult, Nadia K. Waheed, James G. Fujimoto, Andreas Maier
Optical coherence tomography angiography (OCTA) is a novel and clinically promising imaging modality to image retinal and sub-retinal vasculature.
no code implementations • 27 Oct 2020 • Lina Felsner, Tobias Würfl, Christopher Syben, Philipp Roser, Alexander Preuhs, Andreas Maier, Christian Riess
In this work we first formulate this reconstruction problem in terms of a system matrix and weighting part.
1 code implementation • 20 Oct 2020 • Mathias Seuret, Anguelos Nicolaou, Dominique Stutzmann, Andreas Maier, Vincent Christlein
In particular, we investigate the performance of large-scale retrieval of historical document fragments in terms of style and writer identification.
no code implementations • 5 Oct 2020 • Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier
Coronary CT angiography (CCTA) has established its role as a non-invasive modality for the diagnosis of coronary artery disease (CAD).
1 code implementation • 30 Sep 2020 • Mathis Hoffmann, Claudia Buerhop-Lutz, Luca Reeb, Tobias Pickel, Thilo Winkler, Bernd Doll, Tobias Würfl, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein
However, knowledge of the power at maximum power point is important as well, since drops in the power of a single module can affect the performance of an entire string.
no code implementations • 28 Sep 2020 • Felix Meister, Tiziano Passerini, Chloé Audigier, Èric Lluch, Viorel Mihalef, Hiroshi Ashikaga, Andreas Maier, Henry Halperin, Tommaso Mansi
The training set consists of data produced by a computational model of cardiac electrophysiology on a large cohort of synthetically generated geometries of ischemic hearts.
no code implementations • 9 Sep 2020 • Yixing Huang, Fuxin Fan, Christopher Syben, Philipp Roser, Leonid Mill, Andreas Maier
The method trained on conventional cephalograms can be directly applied to landmark detection in the synthetic cephalograms, achieving 93. 0% and 80. 7% successful detection rate in 4 mm precision range for synthetic cephalograms from 3D volumes and 2D projections respectively.
1 code implementation • 8 Sep 2020 • Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Peter Bell, Andreas Maier, Vincent Christlein
These compositions are useful in analyzing the interactions in an image to study artists and their artworks.
1 code implementation • 24 Aug 2020 • Marc Aubreville, Christof A. Bertram, Taryn A. Donovan, Christian Marzahl, Andreas Maier, Robert Klopfleisch
We achieved a mean F1-score of 0. 791 on the test set and of up to 0. 696 on a human breast cancer dataset.
no code implementations • 14 Aug 2020 • Mareike Thies, Jan-Nico Zäch, Cong Gao, Russell Taylor, Nassir Navab, Andreas Maier, Mathias Unberath
We propose to adjust the C-arm CBCT source trajectory during the scan to optimize reconstruction quality with respect to a certain task, i. e. verification of screw placement.
no code implementations • 14 Aug 2020 • Faezeh Nejati Hatamian, Amirabbas Davari, Andreas Maier
Due to the multiple imperfections during the signal acquisition, Electrocardiogram (ECG) datasets are typically contaminated with numerous types of noise, like salt and pepper and baseline drift.
no code implementations • 5 Aug 2020 • Sebastian Guendel, Arnaud Arindra Adiyoso Setio, Sasa Grbic, Andreas Maier, Dorin Comaniciu
However, because of the limited availability of scans containing nodules and the subtle properties of nodules in CXRs, state-of-the-art methods do not perform well on nodule classification.
no code implementations • 15 Jul 2020 • Martin Leipert, Georg Vogeler, Mathias Seuret, Andreas Maier, Vincent Christlein
In classification, notarial instruments are distinguished from other documents, while the notary sign is separated from the certificate in the segmentation task.
no code implementations • 14 Jul 2020 • Simon Jordan, Mathias Seuret, Pavel Král, Ladislav Lenc, Jiří Martínek, Barbara Wiermann, Tobias Schwinger, Andreas Maier, Vincent Christlein
We show that a re-ranking step based on k-reciprocal nearest neighbor relationships is advantageous for writer identification, even if only a few samples per writer are available.
1 code implementation • 10 Jul 2020 • Christof A. Bertram, Mitko Veta, Christian Marzahl, Nikolas Stathonikos, Andreas Maier, Robert Klopfleisch, Marc Aubreville
To date, some datasets on mitotic figures are available and were used for development of promising deep learning-based algorithms.
no code implementations • 9 Jul 2020 • Mayank Patwari, Ralf Gutjahr, Rainer Raupach, Andreas Maier
JBFnet is split into four filtering blocks, each of which performs Joint Bilateral Filtering.
no code implementations • 9 Jul 2020 • Mayank Patwari, Ralf Gutjahr, Rainer Raupach, Andreas Maier
Denoising of clinical CT images is an active area for deep learning research.
no code implementations • 9 Jul 2020 • Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Bjoern M. Eskofier, Andreas Maier
In our proposed multi-stage algorithm, these signals are transformed to the global coordinate system of the CT scan and applied for motion compensation during reconstruction.
no code implementations • 8 Jul 2020 • Philipp Roser, Xia Zhong, Annette Birkhold, Alexander Preuhs, Christopher Syben, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas Maier
Here, we propose a novel approach combining conventional techniques with learning-based methods to simultaneously estimate the forward-scatter reaching the detector as well as the back-scatter affecting the patient skin dose.
1 code implementation • 23 Jun 2020 • Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Andreas Maier
Based on the published test set, we outperform the baseline w. r. t.
no code implementations • 18 Jun 2020 • Alexander Preuhs, Michael Manhart, Philipp Roser, Elisabeth Hoppe, Yixing Huang, Marios Psychogios, Markus Kowarschik, Andreas Maier
To this end, we train a siamese triplet network to predict the reprojection error (RPE) for the complete acquisition as well as an approximate distribution of the RPE along the single views from the reconstructed volume in a multi-task learning approach.
no code implementations • 20 May 2020 • Yixing Huang, Alexander Preuhs, Michael Manhart, Guenter Lauritsch, Andreas Maier
For example, for truncated data, DCR achieves a mean root-mean-square error of 24 HU and a mean structure similarity index of 0. 999 inside the field-of-view for different patients in the noisy case, while the state-of-the-art U-Net method achieves 55 HU and 0. 995 respectively for these two metrics.
no code implementations • 2 May 2020 • Lin Yuan, Yixing Huang, Andreas Maier
In this work, partial convolution is applied for projection inpainting, which only relies on valid pixels values.
2 code implementations • 30 Apr 2020 • Christian Marzahl, Marc Aubreville, Christof A. Bertram, Jennifer Maier, Christian Bergler, Christine Kröger, Jörn Voigt, Katharina Breininger, Robert Klopfleisch, Andreas Maier
In many research areas, scientific progress is accelerated by multidisciplinary access to image data and their interdisciplinary annotation.
1 code implementation • 26 Apr 2020 • Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Elodie Puybareau, Younes Khoudli, Thierry Geraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Menyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nunez-Garcia, Oscar Camara, Nicolo Savioli, Pablo Lamata, Jichao Zhao
Segmentation of cardiac images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) widely used for visualizing diseased cardiac structures, is a crucial first step for clinical diagnosis and treatment.
1 code implementation • 13 Apr 2020 • Christian Marzahl, Christof A. Bertram, Marc Aubreville, Anne Petrick, Kristina Weiler, Agnes C. Gläsel, Marco Fragoso, Sophie Merz, Florian Bartenschlager, Judith Hoppe, Alina Langenhagen, Anne Jasensky, Jörn Voigt, Robert Klopfleisch, Andreas Maier
However, a significant percentage of the deliberately introduced false labels was not identified by the experts.
Human-Computer Interaction Image and Video Processing
1 code implementation • 31 Mar 2020 • Prathmesh Madhu, Ronak Kosti, Lara Mührenberg, Peter Bell, Andreas Maier, Vincent Christlein
We present experiments and analysis on three different models and show that the model trained on domain related data gives the best performance for recognizing character.
no code implementations • 31 Mar 2020 • Patrick Krauss, Andreas Maier
The question of whether artificial beings or machines could become self-aware or consciousness has been a philosophical question for centuries.
2 code implementations • 24 Mar 2020 • Martin Mayr, Martin Stumpf, Anguelos Nicolaou, Mathias Seuret, Andreas Maier, Vincent Christlein
Then, a method for online handwriting synthesis is used to produce a new realistic-looking text primed with the online input sequence.
no code implementations • 7 Feb 2020 • Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas Maier
In this study, we investigate the impact of various data augmentation algorithms, e. g., oversampling, Gaussian Mixture Models (GMMs) and Generative Adversarial Networks (GANs), on solving the class imbalance problem.
no code implementations • 30 Jan 2020 • Martin Mayr, Mathis Hoffmann, Andreas Maier, Vincent Christlein
To this end, we apply normalized Lp normalization to aggregate the activation maps into single scores for classification.
no code implementations • 28 Jan 2020 • Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante B., Marc Aubreville, Andreas Maier
To improve monaural speech enhancement in noisy environments, we propose CLCNet, a framework based on complex valued linear coding.