no code implementations • 3 Jul 2023 • Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
In this study, we leveraged recent advances in Deep Learning and, using a Transformer approach, developed a unified framework for the multi-modal fusion of knee imaging data.
no code implementations • 10 May 2023 • Neslihan Bayramoglu, Martin Englund, Ida K. Haugen, Muneaki Ishijima, Simo Saarakkala
This study demonstrated the potential of machine learning models to predict the progression of PFOA using imaging and clinical variables.
no code implementations • 26 Oct 2022 • Narasimharao Kowlagi, Huy Hoang Nguyen, Terence McSweeney, Simo Saarakkala, Juhani määttä, Jaro Karppinen, Aleksei Tiulpin
This paper addresses the challenge of grading visual features in lumbar spine MRI using Deep Learning.
1 code implementation • 25 Oct 2022 • Huy Hoang Nguyen, Matthew B. Blaschko, Simo Saarakkala, Aleksei Tiulpin
Deep neural networks are often applied to medical images to automate the problem of medical diagnosis.
1 code implementation • 26 Jan 2022 • Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
Accurate prediction of knee osteoarthritis (KOA) progression from structural MRI has a potential to enhance disease understanding and support clinical trials.
no code implementations • 3 Jun 2021 • Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
Objective is to assess the ability of texture features for detecting radiographic patellofemoral osteoarthritis (PFOA) from knee lateral view radiographs.
2 code implementations • 8 Apr 2021 • Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin
We show the effectiveness of our method in predicting the development of structural knee osteoarthritis changes over time.
no code implementations • 12 Jan 2021 • Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
Patellar region-of-interest (ROI) was first automatically detected, and subsequently, end-to-end deep convolutional neural networks (CNNs) were trained and validated to detect the status of patellofemoral OA.
1 code implementation • 24 May 2020 • Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
Knee osteoarthritis (OA) is very common progressive and degenerative musculoskeletal disease worldwide creates a heavy burden on patients with reduced quality of life and also on society due to financial impact.
1 code implementation • Preprint on arXiv 2020 • Huy Hoang Nguyen, Simo Saarakkala, Matthew Blaschko, Aleksei Tiulpin
Finally, when compared to a well-tuned fully supervised baseline that yielded a balanced accuracy (BA) of $70. 9\pm0. 8%$ on the test set, Semixup had comparable performance -- BA of $71\pm0. 8%$ $(p=0. 368)$ while requiring $6$ times less labeled data.
no code implementations • 21 Aug 2019 • Neslihan Bayramoglu, Aleksei Tiulpin, Jukka Hirvasniemi, Miika T. Nieminen, Simo Saarakkala
Compared to the current state-of-the-art approaches, our results suggest that the proposed adaptive ROI approach in texture analysis of subchondral bone can increase the diagnostic performance for detecting the presence of radiographic OA.
1 code implementation • 12 Aug 2019 • Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala
Degeneration of articular cartilage (AC) is actively studied in knee osteoarthritis (OA) research via magnetic resonance imaging (MRI).
4 code implementations • 29 Jul 2019 • Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala
This paper addresses the challenge of localization of anatomical landmarks in knee X-ray images at different stages of osteoarthritis (OA).
1 code implementation • 18 Jul 2019 • Aleksei Tiulpin, Simo Saarakkala
Knee osteoarthritis (OA) is the most common musculoskeletal disease in the world.
1 code implementation • 11 Jul 2019 • Aleksei Tiulpin, Mikko Finnilä, Petri Lehenkari, Heikki J. Nieminen, Simo Saarakkala
In this paper, we present the first application of Deep Learning to PTA-stained osteochondral samples that allows to perform tidemark segmentation in a fully-automatic manner.
1 code implementation • 12 Apr 2019 • Aleksei Tiulpin, Stefan Klein, Sita M. A. Bierma-Zeinstra, Jérôme Thevenot, Esa Rahtu, Joyce van Meurs, Edwin H. G. Oei, Simo Saarakkala
Knee osteoarthritis (OA) is the most common musculoskeletal disease without a cure, and current treatment options are limited to symptomatic relief.
1 code implementation • 29 Oct 2017 • Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Petri Lehenkari, Simo Saarakkala
Here, we also report a radiological OA diagnosis area under the ROC curve of 0. 93.
no code implementations • 31 Jan 2017 • Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Simo Saarakkala
The obtained results for the used datasets show the mean intersection over the union equal to: 0. 84, 0. 79 and 0. 78.