| Automatic knee osteoarthritis diagnosis from plain radiographs: a deep learning-based approach A Tiulpin, J Thevenot, E Rahtu, P Lehenkari, S Saarakkala Scientific reports 8 (1), 1-10, 2018 | 377 | 2018 |
| Multimodal machine learning-based knee osteoarthritis progression prediction from plain radiographs and clinical data A Tiulpin, S Klein, SMA Bierma-Zeinstra, J Thevenot, E Rahtu, J Meurs, ... Scientific reports 9 (1), 20038, 2019 | 138 | 2019 |
| Gray matter age prediction as a biomarker for risk of dementia J Wang, MJ Knol, A Tiulpin, F Dubost, M de Bruijne, MW Vernooij, ... Proceedings of the National Academy of Sciences 116 (42), 21213-21218, 2019 | 127 | 2019 |
| Dgc-net: Dense geometric correspondence network I Melekhov, A Tiulpin, T Sattler, M Pollefeys, E Rahtu, J Kannala 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1034-1042, 2019 | 91 | 2019 |
| 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 | 77 | 2019 |
| Automatic grading of individual knee osteoarthritis features in plain radiographs using deep convolutional neural networks A Tiulpin, S Saarakkala Diagnostics 10 (11), 932, 2020 | 74 | 2020 |
| A novel method for automatic localization of joint area on knee plain radiographs A Tiulpin, J Thevenot, E Rahtu, S Saarakkala Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017 | 44 | 2017 |
| Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy D Bychkov, N Linder, A Tiulpin, H Kücükel, M Lundin, S Nordling, H Sihto, ... Scientific reports 11 (1), 1-10, 2021 | 32 | 2021 |
| Kneel: knee anatomical landmark localization using hourglass networks A Tiulpin, I Melekhov, S Saarakkala Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 31 | 2019 |
| Development of osteoarthritis in patients with degenerative meniscal tears treated with exercise therapy or surgery: a randomized controlled trial B Berg, EM Roos, M Englund, NJ Kise, A Tiulpin, S Saarakkala, ... Osteoarthritis and Cartilage 28 (7), 897-906, 2020 | 23 | 2020 |
| Breast tumor cellularity assessment using deep neural networks A Rakhlin, A Tiulpin, AA Shvets, AA Kalinin, VI Iglovikov, S Nikolenko Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 23 | 2019 |
| Adaptive segmentation of knee radiographs for selecting the optimal ROI in texture analysis N Bayramoglu, A Tiulpin, J Hirvasniemi, MT Nieminen, S Saarakkala Osteoarthritis and cartilage 28 (7), 941-952, 2020 | 22 | 2020 |
| Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs HH Nguyen, S Saarakkala, MB Blaschko, A Tiulpin IEEE Transactions on Medical Imaging 39 (12), 4346-4356, 2020 | 21 | 2020 |
| Critical evaluation of deep neural networks for wrist fracture detection AM Raisuddin, E Vaattovaara, M Nevalainen, M Nikki, E Järvenpää, ... Scientific reports 11 (1), 1-11, 2021 | 17 | 2021 |
| 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 | 14 | 2021 |
| Deep-learning for tidemark segmentation in human osteochondral tissues imaged with micro-computed tomography A Tiulpin, M Finnilä, P Lehenkari, HJ Nieminen, S Saarakkala Advanced Concepts for Intelligent Vision Systems: 20th International …, 2020 | 14 | 2020 |
| Bayesian feature pyramid networks for automatic multi-label segmentation of chest X-rays and assessment of cardio-thoratic ratio R Solovyev, I Melekhov, T Lesonen, E Vaattovaara, O Tervonen, A Tiulpin Advanced Concepts for Intelligent Vision Systems: 20th International …, 2020 | 14 | 2020 |
| 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 | 10 | 2022 |
| Automating three-dimensional osteoarthritis histopathological grading of human osteochondral tissue using machine learning on contrast-enhanced micro-computed tomography SJO Rytky, A Tiulpin, T Frondelius, MAJ Finnilä, SS Karhula, J Leino, ... Osteoarthritis and Cartilage 28 (8), 1133-1144, 2020 | 8 | 2020 |
| AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching K Nguyen, HH Nguyen, A Tiulpin Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022 | 6* | 2022 |
Simo Saarakkala, Ph.D.University of Oulu, FinlandVerified email at oulu.fi
