A Novel Method for Automatic Localization of Joint Area on Knee Plain Radiographs. - Aleksei Tiulpin; Jérôme Thevenot; Esa Rahtu; Simo Saarakkala (SCIA (2), 2017)

Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach. - Aleksei Tiulpin; Jérôme Thevenot; Esa Rahtu; Petri Lehenkari; Simo Saarakkala (CoRR, 2017)

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. - Egor Panfilov; Aleksei Tiulpin; Stefan Klein; Miika T. Nieminen; Simo Saarakkala (ICCV Workshops, 2019)

Breast Tumor Cellularity Assessment Using Deep Neural Networks. - Alexander Rakhlin; Aleksei Tiulpin; Alexey A. Shvets; Alexandr A. Kalinin; Vladimir I. Iglovikov; Sergey I. Nikolenko (ICCV Workshops, 2019)

KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. - Aleksei Tiulpin; Iaroslav Melekhov; Simo Saarakkala (ICCV Workshops, 2019)

DGC-Net: Dense Geometric Correspondence Network. - Iaroslav Melekhov; Aleksei Tiulpin; Torsten Sattler; Marc Pollefeys; Esa Rahtu; Juho Kannala (WACV, 2019)

Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. - Aleksei Tiulpin; Stefan Klein; Sita M. A. Bierma-Zeinstra; Jérôme Thevenot; Esa Rahtu; Joyce van Meurs; Edwin H. G. Oei; Simo Saarakkala (CoRR, 2019)

Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks. - Aleksei Tiulpin; Simo Saarakkala (CoRR, 2019)

Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis. - Neslihan Bayramoglu; Aleksei Tiulpin; Jukka Hirvasniemi; Miika T. Nieminen; Simo Saarakkala (CoRR, 2019)

Bayesian Feature Pyramid Networks for Automatic Multi-label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio. - Roman A. Solovyev; Iaroslav Melekhov; Timo Lesonen; Elias Vaattovaara; Osmo Tervonen; Aleksei Tiulpin (ACIVS, 2020)

Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography. - Aleksei Tiulpin; Mikko Finnilä; Petri Lehenkari; Heikki J. Nieminen; Simo Saarakkala (ACIVS, 2020)

Deep Learning for Wrist Fracture Detection: Are We There Yet? - Abu Mohammed Raisuddin; Elias Vaattovaara; Mika Nevalainen; Marko Nikki; Elina Järvenpää; Kaisa Makkonen; Pekka Pinola; Tuula Palsio; Arttu Niemensivu; Osmo Tervonen; Aleksei Tiulpin (CoRR, 2020)

Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs. - Huy Hoang Nguyen; Simo Saarakkala; Matthew B. Blaschko; Aleksei Tiulpin (IEEE Trans. Medical Imaging, 2020)

DeepProg: A Transformer-based Framework for Predicting Disease Prognosis. - Huy Hoang Nguyen; Simo Saarakkala; Matthew B. Blaschko; Aleksei Tiulpin (CoRR, 2021)

CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting. - Huy Hoang Nguyen; Simo Saarakkala; Matthew B. Blaschko; Aleksei Tiulpin (ISBI, 2022)

Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning. - Egor Panfilov; Simo Saarakkala; Miika T. Nieminen; Aleksei Tiulpin (ISBI, 2022)

Deep Semi-Supervised Active Learning for Knee Osteoarthritis Severity Grading. - Abu Mohammed Raisuddin; Huy Hoang Nguyen; Aleksei Tiulpin (ISBI, 2022)

AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching. - Khanh Nguyen; Huy Hoang Nguyen; Aleksei Tiulpin (MICCAI (8), 2022)

On confidence intervals for precision matrices and the eigendecomposition of covariance matrices. - Teodora Popordanoska; Aleksei Tiulpin; Wacha Bounliphone; Matthew B. Blaschko (CoRR, 2022)

Greedy Bayesian Posterior Approximation with Deep Ensembles. - Aleksei Tiulpin; Matthew B. Blaschko (Trans. Mach. Learn. Res., 2022)

A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine Mri Using Deep Learning. - Narasimharao Kowlagi; Huy Hoang Nguyen; Terence McSweeney; Simo Saarakkala; Juhani Määttä; Jaro Karppinen; Aleksei Tiulpin (ISBI, 2023)

MRI2Mesh: Intervertebral Disc Mesh Generation from Low Resolution MRI Using Graph Neural Networks with Cross Level Feature Fusion. - Sai Natarajan; Aleksei Tiulpin; Ludovic Humbert; Miguel Ángel González Ballester (ISBI, 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers. - Egor Panfilov; Simo Saarakkala; Miika T. Nieminen; Aleksei Tiulpin (CoRR, 2023)

LoG-VMamba [inline-graphic not available: see fulltext] : Local-Global Vision Mamba for Medical Image Segmentation. - Trung DQ. Dang; Huy Hoang Nguyen; Aleksei Tiulpin (ACCV (2), 2024)

Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors. - Teodora Popordanoska; Sebastian Gregor Gruber; Aleksei Tiulpin; Florian Büttner 001; Matthew B. Blaschko (AISTATS, 2024)

SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression. - Trung Dinh Quoc Dang; Huy Hoang Nguyen; Aleksei Tiulpin (MICCAI (9), 2024)

A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method. - Yichen Hu; Chao Wang; Weitao Song; Aleksei Tiulpin; Qing Liu 003 (MICCAI (5), 2024)

Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection. - Teodora Popordanoska; Aleksei Tiulpin; Matthew B. Blaschko (WACV, 2024)

Active Sensing of Knee Osteoarthritis Progression with Reinforcement Learning. - Khanh Nguyen; Huy Hoang Nguyen; Egor Panfilov; Aleksei Tiulpin (CoRR, 2024)

LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation. - Trung Dinh Quoc Dang; Huy Hoang Nguyen; Aleksei Tiulpin (CoRR, 2024)

Targeted Active Learning for Bayesian Decision-Making. - Louis Filstroff; Iiris Sundin; Petrus Mikkola; Aleksei Tiulpin; Juuso Kylmäoja; Samuel Kaski (Trans. Mach. Learn. Res., 2024)

Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data. - Huy Hoang Nguyen; Matthew B. Blaschko; Simo Saarakkala; Aleksei Tiulpin (IEEE Trans. Medical Imaging, 2024)

Bayesian Optimization over Bounded Domains with the Beta Product Kernel. - Huy Hoang Nguyen; Han Zhou 013; Matthew B. Blaschko; Aleksei Tiulpin (UAI, 2025)

Image-Level Regression for Uncertainty-Aware Retinal Image Segmentation. - Trung Dinh Quoc Dang; Huy Hoang Nguyen; Aleksei Tiulpin (WACV, 2025)

Deep Learning-based Alignment Measurement in Knee Radiographs. - Zhisen Hu; Dominic Cullen; Peter Thompson; David Johnson; Chang Bian; Aleksei Tiulpin; Timothy F. Cootes; Claudia Lindner 001 (CoRR, 2025)