Aleksei Tiulpin

63 papers A 5B 2Journal 39Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Bayesian Optimization over Bounded Domains with the Beta Product Kernel. UAI Huy Hoang Nguyen, Han Zhou, Matthew B. Blaschko, Aleksei Tiulpin
2025	J	`jnl`	Bayesian Optimization over Bounded Domains with the Beta Product Kernel. CoRR Huy Hoang Nguyen, Han Zhou, Matthew B. Blaschko, Aleksei Tiulpin
2025	—	`conf`	Deep Learning-Based Alignment Measurement in Knee Radiographs. MICCAI (4) Zhisen Hu, Dominic Cullen, Peter Thompson, David Johnson, Chang Bian, Aleksei Tiulpin, Timothy F. Cootes, Claudia Lindner
2025	J	`jnl`	Deep Learning-based Alignment Measurement in Knee Radiographs. CoRR Zhisen Hu, Dominic Cullen, Peter Thompson, David Johnson, Chang Bian, Aleksei Tiulpin, Timothy F. Cootes, Claudia Lindner
2025	J	`jnl`	End-to-End Prediction of Knee Osteoarthritis Progression With Multimodal Transformers. IEEE J. Biomed. Health Informatics Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
2025	—	`conf`	Ensembling CNN, Transformer, and Mamba with Stacking for Brain Tumor Segmentation. BraTS-Lighthouse/AIMS-TBI@MICCAI (1) Trung Dinh Quoc Dang, Huy Hoang Nguyen, Aleksei Tiulpin
2025	A	`conf`	Image-Level Regression for Uncertainty-Aware Retinal Image Segmentation. WACV Trung Dinh Quoc Dang, Huy Hoang Nguyen, Aleksei Tiulpin
2025	J	`jnl`	MRI2MESH: High-Resolution Intervertebral Disc Mesh Generation From Anisotropic MRI Through Attention-Guided Cross-Level Graph Feature Fusion. IEEE Access Sai Natarajan, Aleksei Tiulpin, Jaro Karppinen, Ludovic Humbert, Miguel Ángel González Ballester
2025	J	`jnl`	SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model. CoRR Dongli Xu, Aleksei Tiulpin, Matthew B. Blaschko
2025	J	`jnl`	The Role of Radiographic Knee Alignment in Knee Replacement Outcomes and Opportunities for Artificial Intelligence-Driven Assessment. CoRR Zhisen Hu, David Johnson, Aleksei Tiulpin, Timothy F. Cootes, Claudia Lindner
2024	—	`conf`	A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method. MICCAI (5) Yichen Hu, Chao Wang, Weitao Song, Aleksei Tiulpin, Qing Liu
2024	J	`jnl`	Active Sensing of Knee Osteoarthritis Progression with Reinforcement Learning. CoRR Khanh Nguyen, Huy Hoang Nguyen, Egor Panfilov, Aleksei Tiulpin
2024	A	`conf`	Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection. WACV Teodora Popordanoska, Aleksei Tiulpin, Matthew B. Blaschko
2024	J	`jnl`	Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data. IEEE Trans. Medical Imaging Huy Hoang Nguyen, Matthew B. Blaschko, Simo Saarakkala, Aleksei Tiulpin
2024	A	`conf`	Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors. AISTATS Teodora Popordanoska, Sebastian Gregor Gruber, Aleksei Tiulpin, Florian Büttner, Matthew B. Blaschko
2024	—	`ed.`	Digital Health and Wireless Solutions - First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part I NCDHWS (1) Mariella Särestöniemi, Pantea Keikhosrokiani, Daljeet Singh, Erkki Harjula, Aleksei Tiulpin, Miia Jansson, Minna Isomursu, Mark J. van Gils, Simo Saarakkala, Jarmo Reponen
2024	—	`ed.`	Digital Health and Wireless Solutions - First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part II NCDHWS (2) Mariella Särestöniemi, Pantea Keikhosrokiani, Daljeet Singh, Erkki Harjula, Aleksei Tiulpin, Miia Jansson, Minna Isomursu, Mark J. van Gils, Simo Saarakkala, Jarmo Reponen
2024	J	`jnl`	Image-level Regression for Uncertainty-aware Retinal Image Segmentation. CoRR Trung Dinh Quoc Dang, Huy Hoang Nguyen, Aleksei Tiulpin
2024	—	`conf`	LoG-VMamba 🐍: Local-Global Vision Mamba for Medical Image Segmentation. ACCV (2) Trung DQ. Dang, Huy Hoang Nguyen, Aleksei Tiulpin
2024	J	`jnl`	LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation. CoRR Trung Dinh Quoc Dang, Huy Hoang Nguyen, Aleksei Tiulpin
2024	—	`conf`	SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression. MICCAI (9) Trung Dinh Quoc Dang, Huy Hoang Nguyen, Aleksei Tiulpin
2024	J	`jnl`	SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression. CoRR Trung Dinh Quoc Dang, Huy Hoang Nguyen, Aleksei Tiulpin
2024	J	`jnl`	Targeted Active Learning for Bayesian Decision-Making. Trans. Mach. Learn. Res. Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski
2023	—	`conf`	A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine Mri Using Deep Learning. ISBI Narasimharao Kowlagi, Huy Hoang Nguyen, Terence McSweeney, Simo Saarakkala, Juhani Määttä, Jaro Karppinen, Aleksei Tiulpin
2023	J	`jnl`	Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection. CoRR Teodora Popordanoska, Aleksei Tiulpin, Matthew B. Blaschko
2023	J	`jnl`	Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors. CoRR Teodora Popordanoska, Sebastian G. Gruber, Aleksei Tiulpin, Florian Büttner, Matthew B. Blaschko
2023	J	`jnl`	End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers. CoRR Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
2023	—	`conf`	MRI2Mesh: Intervertebral Disc Mesh Generation from Low Resolution MRI Using Graph Neural Networks with Cross Level Feature Fusion. ISBI Sai Natarajan, Aleksei Tiulpin, Ludovic Humbert, Miguel Ángel González Ballester
2023	J	`jnl`	Understanding metric-related pitfalls in image analysis validation. CoRR Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
2022	J	`jnl`	A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI Using Deep Learning. CoRR Narasimharao Kowlagi, Huy Hoang Nguyen, Terence McSweeney, Simo Saarakkala, Juhani Määttä, Jaro Karppinen, Aleksei Tiulpin
2022	—	`conf`	AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching. MICCAI (8) Khanh Nguyen, Huy Hoang Nguyen, Aleksei Tiulpin
2022	J	`jnl`	AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching. CoRR Khanh Nguyen, Huy Hoang Nguyen, Aleksei Tiulpin
2022	—	`conf`	CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting. ISBI Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin
2022	J	`jnl`	Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data. CoRR Huy Hoang Nguyen, Matthew B. Blaschko, Simo Saarakkala, Aleksei Tiulpin
2022	—	`conf`	Deep Semi-Supervised Active Learning for Knee Osteoarthritis Severity Grading. ISBI Abu Mohammed Raisuddin, Huy Hoang Nguyen, Aleksei Tiulpin
2022	J	`jnl`	Greedy Bayesian Posterior Approximation with Deep Ensembles. Trans. Mach. Learn. Res. Aleksei Tiulpin, Matthew B. Blaschko
2022	J	`jnl`	On confidence intervals for precision matrices and the eigendecomposition of covariance matrices. CoRR Teodora Popordanoska, Aleksei Tiulpin, Wacha Bounliphone, Matthew B. Blaschko
2022	—	`conf`	Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning. ISBI Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
2022	J	`jnl`	Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning. CoRR Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
2021	J	`jnl`	DeepProg: A Transformer-based Framework for Predicting Disease Prognosis. CoRR Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin
2021	J	`jnl`	Greedy Bayesian Posterior Approximation with Deep Ensembles. CoRR Aleksei Tiulpin, Matthew B. Blaschko
2021	J	`jnl`	Targeted Active Learning for Bayesian Decision-Making. CoRR Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski
2020	B	`conf`	Bayesian Feature Pyramid Networks for Automatic Multi-label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio. ACIVS Roman A. Solovyev, Iaroslav Melekhov, Timo Lesonen, Elias Vaattovaara, Osmo Tervonen, Aleksei Tiulpin
2020	J	`jnl`	Deep Learning for Wrist Fracture Detection: Are We There Yet? CoRR Abu Mohammed Raisuddin, Elias Vaattovaara, Mika Nevalainen, Marko Nikki, Elina Järvenpää, Kaisa Makkonen, Pekka Pinola, Tuula Palsio, Arttu Niemensivu, Osmo Tervonen, Aleksei Tiulpin
2020	B	`conf`	Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography. ACIVS Aleksei Tiulpin, Mikko Finnilä, Petri Lehenkari, Heikki J. Nieminen, Simo Saarakkala
2020	J	`jnl`	Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs. IEEE Trans. Medical Imaging Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin
2020	J	`jnl`	Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs. CoRR Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin
2019	J	`jnl`	Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis. CoRR Neslihan Bayramoglu, Aleksei Tiulpin, Jukka Hirvasniemi, Miika T. Nieminen, Simo Saarakkala
2019	J	`jnl`	Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks. CoRR Aleksei Tiulpin, Simo Saarakkala
2019	J	`jnl`	Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio. CoRR Roman A. Solovyev, Iaroslav Melekhov, Timo Lesonen, Elias Vaattovaara, Osmo Tervonen, Aleksei Tiulpin
2019	—	`conf`	Breast Tumor Cellularity Assessment Using Deep Neural Networks. ICCV Workshops Alexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets, Alexandr A. Kalinin, Vladimir I. Iglovikov, Sergey I. Nikolenko
2019	J	`jnl`	Breast Tumor Cellularity Assessment using Deep Neural Networks. CoRR Alexander Rakhlin, Alexey A. Shvets, Alexandr A. Kalinin, Aleksei Tiulpin, Vladimir I. Iglovikov, Sergey I. Nikolenko
2019	A	`conf`	DGC-Net: Dense Geometric Correspondence Network. WACV Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala
2019	J	`jnl`	Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography. CoRR Aleksei Tiulpin, Mikko Finnilä, Petri Lehenkari, Heikki J. Nieminen, Simo Saarakkala
2019	—	`conf`	Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. ICCV Workshops Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala
2019	J	`jnl`	Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. CoRR Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala
2019	—	`conf`	KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. ICCV Workshops Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala
2019	J	`jnl`	KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. CoRR Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala
2019	J	`jnl`	Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. CoRR Aleksei Tiulpin, Stefan Klein, Sita M. A. Bierma-Zeinstra, Jérôme Thevenot, Esa Rahtu, Joyce van Meurs, Edwin H. G. Oei, Simo Saarakkala
2018	J	`jnl`	DGC-Net: Dense Geometric Correspondence Network. CoRR Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala
2017	—	`conf`	A Novel Method for Automatic Localization of Joint Area on Knee Plain Radiographs. SCIA (2) Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Simo Saarakkala
2017	J	`jnl`	A novel method for automatic localization of joint area on knee plain radiographs. CoRR Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Simo Saarakkala
2017	J	`jnl`	Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach. CoRR Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Petri Lehenkari, Simo Saarakkala