Strategic research project of the University of OuluFocus institute: Infotech OuluFaculty: Faculty of Medicine (FoM)
Aleksei Tiulpin
MSc.
Doctoral student
Biomedical Engineering
Biography
I conduct research on Deep Learning for Medical Imaging. I am interested in learning with limited data, noisy labels, self-supervised learning and anomaly detection.
Research interests
- Machine Learning
- Computer Vision
- Medicine
- Muskuloskeletal Radiology
- Osteoarthritis
Databases
Social media
Research groups
- Doctoral Student, 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.; Thevenot, J.; Rahtu, E.; Saarakkala, S. (2017) A novel method for automatic localization of joint area on knee plain radiographs. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proceedings of the 20th Scandinavian Conference on Image Analysis, SCIA 2017; Tromso; Norway; 12 -14 June 2017. Lecture Notes in Computer Science 10270. 290-301. [Original]
- 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
