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.

English title
TESCAN 3DIM - Deep learning methods for 3D data analysis
Type
contract
Keywords

Deep learning, convolutional neural networks, CNN, 3D shape analysis, image
recognition

Abstract

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.

Team members
Sadovský Petr, Ing., Ph.D. (UFYZ) – research leader
Kodym Oldřich, Ing., Ph.D.
Španěl Michal, doc. Ing., Ph.D. (DCGM)
Publications

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

  • 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. 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
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