Project Details
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.; LI, J.; PEPE, A.; GSAXNER, C.; EGGER, J.; ŠPANĚL, M. SkullBreak/SkullFix - Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks. Data in Brief (Online), 2021, vol. 35, no. 106902,
p. 1-7. ISSN: 2352-3409. Detail - KODYM, O.; ŠPANĚL, M.; HEROUT, A. Deep Learning for Cranioplasty in Clinical Practice: Going from Synthetic to Real Patient Data. COMPUTERS IN BIOLOGY AND MEDICINE, 2021, vol. 137, no. 104766,
p. 1-10. ISSN: 0010-4825. Detail - 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
- KODYM, O. Souhrnná výzkumná zpráva k projektu TESCAN 3DIM - Metody hlubokého učení pro analýzu 3D dat. Brno: TESCAN 3DIM, s.r.o., 2020.
s. 0-0. 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 - KODYM, O.; ŠPANĚL, M.; HEROUT, A. Skull Shape Reconstruction Using Cascaded Convolutional Networks. COMPUTERS IN BIOLOGY AND MEDICINE, 2020, vol. 123, no. 103886,
p. 1-9. ISSN: 0010-4825. Detail