Strategic research project of the University of OuluFocus institute: Infotech OuluFaculty: Faculty of Medicine (FoM)
Aleksei Tiulpin
PhD
Post-doctoral fellow
Machine Learning for Medical Imaging
Biography
I conduct research on Deep Learning for Medical Imaging. Specifically, I am interested in learning with limited data, noisy labels, self-supervised learning, uncertainty estimation, and anomaly detection.
Research interests
- Machine Learning
- Computer Vision
- Medicine
- Medical Imaging
Databases
Social media
Research groups
- Post-doctoral fellow, Research Unit of Medical Imaging Physics and Technology
Selected publications
- Tiulpin, Aleksei; Thevenot, Jérôme; Rahtu, Esa; Lehenkari, Petri; Saarakkala, Simo (2018) Automatic knee osteoarthritis diagnosis from plain radiographs : a deep learning-based approach. - Scientific Reports 8, 1727 . [Original] [Self-archived]
- Tiulpin, A.; Melekhov, I.; Saarakkala, S. (2019) KNEEL: Knee anatomical landmark localization using hourglass networks. (Artikkeli tieteellisessä konferenssijulkaisussa). - 17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019. IEEE International Conference on Computer Vision workshops. 352-361, 9022083. [Original] [Self-archived]
- Tiulpin, A.; Klein, S.; Bierma-Zeinstra, S.M.A.; Thevenot, J.; Rahtu, E.; Meurs, J.; Oei, E.H.G.; Saarakkala, S. (2019) Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. - Scientific reports 9 (1), 20038 . [Original] [Self-archived]
- Panfilov, Egor; Tiulpin, Aleksei; Klein, Stefan; Nieminen, Miika T.; Saarakkala, Simo (2019) Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) : 27th October- 2nd November 2019, Seoul, Korea. IEEE International Conference on Computer Vision workshops. 450-459. [Original] [Self-archived]
- Melekhov, I.; Tiulpin, A.; Sattler, T.; Pollefeys, M.; Rahtu, E.; Kannala, J. (2019) DGC-Net: Dense geometric correspondence network. (Artikkeli tieteellisessä konferenssijulkaisussa). - 19th IEEE Winter Conference on Applications of Computer Vision, WACV 2019. IEEE Winter Conference on Applications of Computer Vision. 1034-1042, 8658868. [Original] [Self-archived]
Research visits
-
Erasmus MC, Rotterdam, The Netherlands
– 1.3.2018 to 1.6.2018
