| Improving robustness of deep learning based knee MRI segmentation: Mixup and adversarial domain adaptation E Panfilov, A Tiulpin, S Klein, MT Nieminen, S Saarakkala Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 104 | 2019 |
| Deep learning‐based segmentation of knee MRI for fully automatic subregional morphological assessment of cartilage tissues: Data from the Osteoarthritis Initiative E Panfilov, A Tiulpin, MT Nieminen, S Saarakkala, V Casula Journal of Orthopaedic Research® 40 (5), 1113-1124, 2022 | 33 | 2022 |
| The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images J Hirvasniemi, J Runhaar, RA van der Heijden, M Zokaeinikoo, M Yang, ... Osteoarthritis and Cartilage 31 (1), 115-125, 2023 | 27 | 2023 |
| Automated analysis of rabbit knee calcified cartilage morphology using micro‐computed tomography and deep learning SJO Rytky, L Huang, P Tanska, A Tiulpin, E Panfilov, W Herzog, ... Journal of anatomy 239 (2), 251-263, 2021 | 20 | 2021 |
| Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning E Panfilov, S Saarakkala, MT Nieminen, A Tiulpin 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 7 | 2022 |
| Predicting osteoarthritis onset and progression with 3D texture analysis of cartilage MRI DESS: 6‐Year data from osteoarthritis initiative A Väärälä, V Casula, A Peuna, E Panfilov, A Mobasheri, M Haapea, ... Journal of Orthopaedic Research® 40 (11), 2597-2608, 2022 | 5* | 2022 |
| RADIOGRAPHIC OSTEOARTHRITIS PROGRESSION PREDICTION VIA MULTI-MODAL IMAGING DATA AND DEEP LEARNING E Panfilov, A Tiulpin, MT Nieminen, S Saarakkala Osteoarthritis and Cartilage 30, S86-S87, 2022 | 1 | 2022 |
| PREDICTION OF OSTEOPHYTE PROGESSION FROM CLINICAL DATA AND MRI-BASED 3D KNEE MORPHOLOGY M Daneshmand, E Panfilov, N Bayramoglu, RK Korhonen, S Saarakkala Osteoarthritis Imaging 2, 100022, 2022 | 1 | 2022 |
| DeepKnee: Towards open source fully-automatic Kellgren-Lawrence grading A Tiulpin, E Panfilov, E Vaattovaara, J Niinimäki, M Nevalainen, ... Osteoarthritis and Cartilage 27, S25, 2019 | 1 | 2019 |
| Patient-level Active Surveillance of Knee Osteoarthritis with Reinforcement Learning K Nguyen, HH Nguyen, E Panfilov, A Tiulpin Osteoarthritis and Cartilage 32, S9, 2024 | | 2024 |
| Deep learning based detection of osteophytes in radiographs and magnetic resonance imagings of the knee using 2D and 3D morphology M Daneshmand, E Panfilov, N Bayramoglu, RK Korhonen, S Saarakkala Journal of Orthopaedic Research®, 2024 | | 2024 |
| Semi-automatic Assessment of Facet Tropism from Lumbar Spine MRI using Deep Learning: A Northern Finland Birth Cohort Study N Kowlagi, A Kemppainen, E Panfilov, T McSweeney, S Saarakkala, ... Spine, 10.1097, 2023 | | 2023 |
| End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers E Panfilov, S Saarakkala, MT Nieminen, A Tiulpin arXiv preprint arXiv:2307.00873, 2023 | | 2023 |
| Repeatability of relaxation time measurements with MRF in knee articular cartilage: phantom and in vivo study S Assili, V Casula, E Panfilov, MA Cloos, R Lattanzi, MT Nieminen ESMRMB 2021 Online 38th Annual Scientific Meeting 34, S6-S7, 2021 | | 2021 |
| Relaxation Time Mapping of Knee Articular Cartilage Using Magnetic Resonance Fingerprinting S Assili, V Casula, J Ikäheimo, E Panfilov, A Väärälä, MA Cloos, ... 2021 ISMRM & SMRT Annual Meeting & Exhibition, 2021 | | 2021 |
Simo Saarakkala, Ph.D.University of Oulu, Finland在 oulu.fi 的电子邮件经过验证
