Ambellan, Felix

Position:

Staff

Room:

4301

Division:

Mathematics for Life and Materials Sciences

Department:

Visual and Data-centric Computing

Research group:

Computational Diagnosis and Therapy Planning

Mail:

ambellan

zib.de

Phone:

+49 30 841 85 - 333

Fax:

+49 30 841 85 - 107

Projects

Member

Treating Osteoarthritis in Knee with Mimicked Interpositional Spacer

Morphological Scoring of Disease States

Publications

2019 2018 2017 2016

2019
Felix Ambellan, Stefan Zachow, Christoph von Tycowicz	A Surface-Theoretic Approach for Statistical Shape Modeling	Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), Part IV, pp. 21-29, Vol.11767, Lecture Notes in Computer Science, 2019 (preprint available as ZIB-Report 19-20)	PDF (ZIB-Report) BibTeX DOI
Felix Ambellan, Stefan Zachow, Christoph von Tycowicz	An as-invariant-as-possible GL+(3)-based Statistical Shape Model	Proc. 7th MICCAI workshop on Mathematical Foundations of Computational Anatomy (MFCA), pp. 219-228, Vol.11846, Lecture Notes in Computer Science, 2019 (preprint available as ZIB-Report 19-46)	PDF (ZIB-Report) BibTeX DOI
Henok Hagos Gidey	Automated Hip Knee Ankle Angle Determination using Convolutional Neural Networks	Master's thesis, Otto-von-Guericke-Universität Magdeburg, Felix Ambellan, Alexander Tack, Stefan Zachow (Advisors), 2019	PDF BibTeX URN
Felix Ambellan, Alexander Tack, Moritz Ehlke, Stefan Zachow	Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative	Medical Image Analysis, 52(2), pp. 109-118, 2019 (preprint available as ZIB-Report 19-06)	PDF (ZIB-Report) BibTeX DOI
Felix Ambellan, Alexander Tack, Moritz Ehlke, Stefan Zachow	Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative (Supplementary Material)	Medical Image Analysis, 52(2), pp. 109-118, 2019 (OAI-ZIB dataset)	BibTeX DOI
Mona Prendke	Comparison of 2D and 3D CNNs for Classification of Knee MRI	Bachelor's thesis, Freie Universität Berlin, Alexander Tack, Felix Ambellan (Advisors), 2019	PDF BibTeX URN
Felix Ambellan, Hans Lamecker, Christoph von Tycowicz, Stefan Zachow	Statistical Shape Models - Understanding and Mastering Variation in Anatomy	Biomedical Visualisation, Paul M. Rea (Ed.), Springer Nature Switzerland AG, 1, pp. 67-84, 2019, isbn: 978-3-030-19384-3, isbn: 978-3-030-19385-0 (preprint available as ZIB-Report 19-13)	PDF (ZIB-Report) BibTeX DOI
2018
Christoph von Tycowicz, Felix Ambellan, Anirban Mukhopadhyay, Stefan Zachow	An Efficient Riemannian Statistical Shape Model using Differential Coordinates	Medical Image Analysis, 43(1), pp. 1-9, 2018 (preprint available as ZIB-Report 16-69)	PDF (ZIB-Report) BibTeX DOI
Felix Ambellan, Alexander Tack, Moritz Ehlke, Stefan Zachow	Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative	Medical Imaging with Deep Learning, 2018	PDF BibTeX
2017
Robert Joachimsky, Felix Ambellan, Stefan Zachow	Computerassistierte Auswahl und Platzierung von interpositionalen Spacern zur Behandlung früher Gonarthrose	Proceedings of the Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC), pp. 106-111, Vol.16, 2017 (preprint available as ZIB-Report 17-72)	PDF (ZIB-Report) BibTeX URN
Felix Ambellan, Alexander Tack, Dave Wilson, Carolyn Anglin, Hans Lamecker, Stefan Zachow	Evaluating two methods for Geometry Reconstruction from Sparse Surgical Navigation Data	Proceedings of the Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC), pp. 24-30, Vol.16, 2017 (preprint available as ZIB-Report 17-71)	PDF (ZIB-Report) BibTeX URN
David Wilson, Carolyn Anglin, Felix Ambellan, Carl Martin Grewe, Alexander Tack, Hans Lamecker, Michael Dunbar, Stefan Zachow	Validation of three-dimensional models of the distal femur created from surgical navigation point cloud data for intraoperative and postoperative analysis of total knee arthroplasty	International Journal of Computer Assisted Radiology and Surgery, 12(12), pp. 2097-2105, 2017	PDF BibTeX DOI