Aleksei Tiulpin
Cited by
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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), 1727, 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
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
Common limitations of image processing metrics: A picture story
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...
arXiv preprint arXiv:2104.05642, 2021
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
Automatic grading of individual knee osteoarthritis features in plain radiographs using deep convolutional neural networks
A Tiulpin, S Saarakkala
Diagnostics 10 (11), 932, 2020
Metrics reloaded: recommendations for image analysis validation
L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ...
Nature methods, 1-18, 2024
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
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
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), 4037, 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
Critical evaluation of deep neural networks for wrist fracture detection
AM Raisuddin, E Vaattovaara, M Nevalainen, M Nikki, E Järvenpää, ...
Scientific reports 11 (1), 6006, 2021
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
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
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
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
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
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
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
Deep-learning for tidemark segmentation in human osteochondral tissues imaged with micro-computed tomography
A Tiulpin, M Finnilä, P Lehenkari, HJ Nieminen, S Saarakkala
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2020
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