no code implementations • 5 Aug 2020 • Nils Gessert, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Hagen H. Kitzler, Sven Schippling, Alexander Schlaefer
However, for monitoring disease progression, \textit{lesion activity} in terms of new and enlarging lesions between two time points is a crucial biomarker.
no code implementations • 2 Jul 2020 • Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Mueller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer
We analyze the value of using multiple hyperspectral bands compared to conventional RGB images and we study several machine learning models' ability to make use of the additional spectral information.
no code implementations • 2 Jul 2020 • Marcel Bengs, Nils Gessert, Alexander Schlaefer
Tracking and localizing objects is a central problem in computer-assisted surgery.
1 code implementation • 20 May 2020 • Nils Gessert, Marcel Bengs, Matthias Schlüter, Alexander Schlaefer
Moreover, optical coherence tomography (OCT) and deep learning have been used for estimating forces based on deformation observed in volumetric image data.
no code implementations • 21 Apr 2020 • Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Mueller, Christian Betz, Wiebke Laffers, Alexander Schlaefer
A recent study has shown that hyperspectral imaging (HSI) can be used for non-invasive detection of head and neck tumors, as precancerous or cancerous lesions show specific spectral signatures that distinguish them from healthy tissue.
no code implementations • 21 Apr 2020 • Marcel Bengs, Nils Gessert, Matthias Schlüter, Alexander Schlaefer
For this purpose, we design and evaluate several 3D and 4D deep learning methods and we propose a new deep learning approach.
no code implementations • MIDL 2019 • Marcel Bengs, Nils Gessert, Alexander Schlaefer
We propose 4D spatio-temporal deep learning for end-to-end motion forecasting and estimation using a stream of OCT volumes.
no code implementations • 21 Apr 2020 • Marcel Bengs, Nils Gessert, Alexander Schlaefer
Autism spectrum disorder (ASD) is associated with behavioral and communication problems.
no code implementations • 20 Apr 2020 • Nils Gessert, Marcel Bengs, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Sven Schippling, Alexander Schlaefer
While deep learning methods for single-scan lesion segmentation are common, deep learning approaches for lesion activity have only been proposed recently.
no code implementations • MIDL 2019 • Nils Gessert, Marcel Bengs, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Sven Schippling, Alexander Schlaefer
While deep learning methods for single-scan lesion segmentation are common, deep learning approaches for lesion activity have only been proposed recently.
no code implementations • 25 Jan 2020 • Nils Gessert, Alexander Schlaefer
The ground-truth for the similarity matching scores is determined by a test that aims to capture users' preferences, interests, and attitude that are relevant for forming romantic relationships.
no code implementations • 6 Nov 2019 • Nils Gessert, Marcel Bengs, Alexander Schlaefer
As a result, we propose a recurrent model with state-max-pooling which automatically learns the relevance of different EIS measurements.
1 code implementation • 9 Oct 2019 • Nils Gessert, Maximilian Nielsen, Mohsin Shaikh, René Werner, Alexander Schlaefer
On the official test set our method is ranked first for both tasks with a balanced accuracy of 63. 6% for task 1 and 63. 4% for task 2.
no code implementations • 12 Aug 2019 • Nils Gessert, Alexander Schlaefer
We compare 2D spatial and 3D spatio-temporal CNNs for LV indices regression and cardiac phase classification.
no code implementations • 12 Aug 2019 • Nils Gessert, Martin Gromniak, Marcel Bengs, Lars Matthäus, Alexander Schlaefer
To overcome the time-consuming data annotation, we generate a large number of ground-truth labels using a robotic setup.
no code implementations • 22 May 2019 • Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer
Our novel convGRU-CNN architecture results in the lowest mean absolute error of 1. 59 +- 1. 3 mN and a cross-correlation coefficient of 0. 9997, and clearly outperforms the other methods.
no code implementations • 20 May 2019 • Nils Gessert, Marcel Bengs, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht
For feedback during interventions, real-time in-vivo imaging with confocal laser microscopy has been proposed for differentiation of benign and malignant tissue by manual expert evaluation.
1 code implementation • 7 May 2019 • Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo Baltruschat, René Werner, Alexander Schlaefer
The first problem is the effective use of high-resolution images with pretrained standard architectures for image classification.
no code implementations • 7 May 2019 • Nils Gessert, Alexander Schlaefer
We propose an efficient approach for NAS in the context of medical, image-based deep learning problems by searching for architectures on low-dimensional data which are subsequently transferred to high-dimensional data.
no code implementations • 10 Feb 2019 • Nils Gessert, Matthias Schlüter, Sarah Latus, Veronika Volgger, Christian Betz, Alexander Schlaefer
As the results were promising, automatic classification of lesions might be feasible which could assist experts in their decision making.
no code implementations • 4 Dec 2018 • Nils Gessert, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht
Histological evaluation of tissue samples is a typical approach to identify colorectal cancer metastases in the peritoneum.
Colon Cancer Detection In Confocal Laser Microscopy Images General Classification +1
no code implementations • 22 Oct 2018 • Nils Gessert, Sarah Latus, Youssef S. Abdelwahed, David M. Leistner, Matthias Lutz, Alexander Schlaefer
Typically, the scaffold is manually reviewed by an expert, analyzing each of the hundreds of image slices.
no code implementations • 22 Oct 2018 • Nils Gessert, Martin Gromniak, Matthias Schlüter, Alexander Schlaefer
Optical coherence tomography (OCT) is an imaging modality which is used in interventions due to its high spatial resolution of few micrometers and its temporal resolution of potentially several hundred volumes per second.
no code implementations • 13 Aug 2018 • Nils Gessert, Matthias Lutz, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Alexander Schlaefer
Our results indicate that building a deep learning-based clinical decision support system for plaque detection is feasible.
2 code implementations • 5 Aug 2018 • Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo Baltruschat, René Werner, Alexander Schlaefer
We identify heavy class imbalance as a key problem for this challenge and consider multiple balancing approaches such as loss weighting and balanced batch sampling.
no code implementations • 10 Jul 2018 • Omer Rajput, Nils Gessert, Martin Gromniak, Lars Matthäus, Alexander Schlaefer
Head pose estimation and tracking is useful in variety of medical applications.
no code implementations • 30 May 2018 • Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer
Needle insertion is common during minimally invasive interventions such as biopsy or brachytherapy.
no code implementations • 16 May 2018 • Nils Gessert, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Matthias Lutz, Alexander Schlaefer
Deep learning methods have shown impressive results for a variety of medical problems over the last few years.
no code implementations • 26 Apr 2018 • Nils Gessert, Jens Beringhoff, Christoph Otte, Alexander Schlaefer
Our novel Siamese 3D CNN architecture outperforms single-path methods that achieve a mean average error of 11. 59 +- 6. 7 mN.
no code implementations • 11 Apr 2018 • Nils Gessert, Markus Heyder, Sarah Latus, Matthias Lutz, Alexander Schlaefer
Advanced atherosclerosis in the coronary arteries is one of the leading causes of deaths worldwide while being preventable and treatable.
no code implementations • 10 Mar 2018 • Nils Gessert, Matthias Schlüter, Alexander Schlaefer
We use this setup to provide an in-depth analysis on deep learning-based pose estimation from volumes.