VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

2 code implementations • 24 Jan 2020 • Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukačka, Christian Payer, Darko Štern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubicek, Jiri Chmelik, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke

Two datasets containing a total of 374 multi-detector CT scans from 355 patients were prepared and 4505 vertebrae have individually been annotated at voxel-level by a human-machine hybrid algorithm (https://osf. io/nqjyw/, https://osf. io/t98fz/).

Anatomy Segmentation

Geodesic B-Score for Improved Assessment of Knee Osteoarthritis

no code implementations • 12 Mar 2021 • Felix Ambellan, Stefan Zachow, Christoph von Tycowicz

Three-dimensional medical imaging enables detailed understanding of osteoarthritis structural status.

Rigid Motion Invariant Statistical Shape Modeling based on Discrete Fundamental Forms

no code implementations • 5 Nov 2021 • Felix Ambellan, Stefan Zachow, Christoph von Tycowicz

shape-based classification of pathological malformations of the human knee and show that it outperforms the standard Euclidean as well as a recent nonlinear approach especially in presence of sparse training data.

Hippocampus Specificity

Landmark-free Statistical Shape Modeling via Neural Flow Deformations

1 code implementation • 14 Sep 2022 • David Lüdke, Tamaz Amiranashvili, Felix Ambellan, Ivan Ezhov, Bjoern Menze, Stefan Zachow

Statistical shape modeling aims at capturing shape variations of an anatomical structure that occur within a given population.

Image Segmentation Semantic Segmentation

Sasaki Metric for Spline Models of Manifold-Valued Trajectories

1 code implementation • 30 Mar 2023 • Esfandiar Nava-Yazdani, Felix Ambellan, Martin Hanik, Christoph von Tycowicz

We propose a generic spatiotemporal framework to analyze manifold-valued measurements, which allows for employing an intrinsic and computationally efficient Riemannian hierarchical model.

regression