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2020 – today
- 2023
[i22]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:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023)- 2022
- [j2]Aleksei Tiulpin, Matthew B. Blaschko:
Greedy Bayesian Posterior Approximation with Deep Ensembles. Trans. Mach. Learn. Res. 2022 (2022) - [c11]Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko
, Aleksei Tiulpin:
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting. ISBI 2022: 1-5 - [c10]Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin:
Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning. ISBI 2022: 1-5 - [c9]Abu Mohammed Raisuddin, Huy Hoang Nguyen, Aleksei Tiulpin:
Deep Semi-Supervised Active Learning for Knee Osteoarthritis Severity Grading. ISBI 2022: 1-5 - [c8]Khanh Nguyen, Huy Hoang Nguyen, Aleksei Tiulpin:
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching. MICCAI (8) 2022: 725-735 - [i21]Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin:
Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning. CoRR abs/2201.10849 (2022) - [i20]Khanh Nguyen, Huy Hoang Nguyen, Aleksei Tiulpin:
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching. CoRR abs/2205.02849 (2022) - [i19]Teodora Popordanoska, Aleksei Tiulpin, Wacha Bounliphone, Matthew B. Blaschko:
On confidence intervals for precision matrices and the eigendecomposition of covariance matrices. CoRR abs/2208.11977 (2022) - [i18]Huy Hoang Nguyen, Matthew B. Blaschko, Simo Saarakkala, Aleksei Tiulpin:
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data. CoRR abs/2210.13889 (2022) - [i17]Narasimharao Kowlagi, Huy Hoang Nguyen, Terence McSweeney, Simo Saarakkala, Juhani määttä, Jaro Karppinen, Aleksei Tiulpin:
A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI Using Deep Learning. CoRR abs/2210.14597 (2022) - 2021
- [i16]Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin:
DeepProg: A Transformer-based Framework for Predicting Disease Prognosis. CoRR abs/2104.03642 (2021) - [i15]Aleksei Tiulpin, Matthew B. Blaschko:
Greedy Bayesian Posterior Approximation with Deep Ensembles. CoRR abs/2105.14275 (2021) - [i14]Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski:
Targeted Active Learning for Bayesian Decision-Making. CoRR abs/2106.04193 (2021) - 2020
- [j1]Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin:
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs. IEEE Trans. Medical Imaging 39(12): 4346-4356 (2020) - [c7]Roman A. Solovyev, Iaroslav Melekhov, Timo Lesonen, Elias Vaattovaara, Osmo Tervonen, Aleksei Tiulpin:
Bayesian Feature Pyramid Networks for Automatic Multi-label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio. ACIVS 2020: 117-130 - [c6]Aleksei Tiulpin, Mikko Finnilä, Petri Lehenkari, Heikki J. Nieminen, Simo Saarakkala:
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography. ACIVS 2020: 131-138 - [i13]Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin:
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs. CoRR abs/2003.01944 (2020) - [i12]Abu Mohammed Raisuddin, Elias Vaattovaara, Mika Nevalainen, Marko Nikki, Elina Järvenpää, Kaisa Makkonen, Pekka Pinola, Tuula Palsio, Arttu Niemensivu, Osmo Tervonen, Aleksei Tiulpin:
Deep Learning for Wrist Fracture Detection: Are We There Yet? CoRR abs/2012.02577 (2020)
2010 – 2019
- 2019
- [c5]Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala:
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. ICCV Workshops 2019: 352-361 - [c4]Alexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets, Alexandr A. Kalinin, Vladimir I. Iglovikov, Sergey I. Nikolenko:
Breast Tumor Cellularity Assessment Using Deep Neural Networks. ICCV Workshops 2019: 371-380 - [c3]Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala:
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. ICCV Workshops 2019: 450-459 - [c2]Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala:
DGC-Net: Dense Geometric Correspondence Network. WACV 2019: 1034-1042 - [i11]Aleksei Tiulpin, Stefan Klein, Sita M. A. Bierma-Zeinstra, Jérôme Thevenot, Esa Rahtu, Joyce van Meurs, Edwin H. G. Oei, Simo Saarakkala:
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. CoRR abs/1904.06236 (2019) - [i10]Alexander Rakhlin, Alexey A. Shvets, Alexandr A. Kalinin, Aleksei Tiulpin, Vladimir I. Iglovikov, Sergey I. Nikolenko:
Breast Tumor Cellularity Assessment using Deep Neural Networks. CoRR abs/1905.01743 (2019) - [i9]Aleksei Tiulpin, Mikko Finnilä, Petri Lehenkari, Heikki J. Nieminen, Simo Saarakkala:
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography. CoRR abs/1907.05089 (2019) - [i8]Aleksei Tiulpin, Simo Saarakkala:
Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks. CoRR abs/1907.08020 (2019) - [i7]Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala:
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. CoRR abs/1907.12237 (2019) - [i6]Roman A. Solovyev, Iaroslav Melekhov, Timo Lesonen, Elias Vaattovaara, Osmo Tervonen, Aleksei Tiulpin:
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio. CoRR abs/1908.02924 (2019) - [i5]Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala:
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. CoRR abs/1908.04126 (2019) - [i4]Neslihan Bayramoglu, Aleksei Tiulpin, Jukka Hirvasniemi, Miika T. Nieminen, Simo Saarakkala:
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis. CoRR abs/1908.07736 (2019) - 2018
- [i3]Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala:
DGC-Net: Dense Geometric Correspondence Network. CoRR abs/1810.08393 (2018) - 2017
- [c1]Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Simo Saarakkala:
A Novel Method for Automatic Localization of Joint Area on Knee Plain Radiographs. SCIA (2) 2017: 290-301 - [i2]Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Simo Saarakkala:
A novel method for automatic localization of joint area on knee plain radiographs. CoRR abs/1701.08991 (2017) - [i1]Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Petri Lehenkari, Simo Saarakkala:
Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach. CoRR abs/1710.10589 (2017)
Coauthor Index
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last updated on 2023-05-21 01:17 CEST by the dblp team
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