Project Details
TESCAN 3DIM - Metody hlubokého učení pro analýzu 3D dat
Project Period: 1. 1. 2020 – 30. 6. 2021
Project Type: contract
Partner: TESCAN 3DIM, s.r.o.
Deep learning, convolutional neural networks, CNN, 3D shape analysis, image
recognition
This project aims at analysis of current trends in state-of-the-art deep learning
methods for 3D image and surface data. Analysis of suitability of new approaches
for the needs and tasks defined by the company, experimental implementation and
verification of the promising methods, and consultations of existing solutions of
the company and technical assistance in their innovation.
Kodym Oldřich, Ing., Ph.D.
Španěl Michal, doc. Ing., Ph.D. (DCGM)
2023
- LI, J.; ELLIS, D.; KODYM, O.; HEROUT, A.; ŠPANĚL, M.; EGGER, J. Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. MEDICAL IMAGE ANALYSIS, 2023, vol. 88, no. 102865,
p. 1-15. ISSN: 1361-8423. Detail
2021
- KODYM, O.; ŠPANĚL, M.; HEROUT, A. Segmentation of Defective Skulls from CT Data for Tissue Modelling. In Towards the Automatization of Cranial Implant Design in Cranioplasty II. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Strasbourg: Springer Nature Switzerland AG, 2021.
p. 19-28. ISBN: 978-3-030-92652-6. ISSN: 0302-9743. Detail
2020
- DREVICKÝ, D.; KODYM, O. Evaluating deep learning uncertainty measures in cephalometric landmark localization. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING. Valetta: Institute for Systems and Technologies of Information, Control and Communication, 2020.
p. 213-220. ISBN: 978-989-758-398-8. Detail - KODYM, O.; ŠPANĚL, M.; HEROUT, A. Cranial Defect Reconstruction Using Cascaded CNN with Alignment. In Towards the Automatization of Cranial Implant Design in Cranioplasty. Lecture Notes in Computer Science. Lima: Springer Nature Switzerland AG, 2020.
p. 56-64. ISBN: 978-3-030-64326-3. Detail