A. Tack

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images

Jan S. Kirschke, Daguang Xu, Christian Payer, 2020, Medical Image Anal..

Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative

Stefan Zachow, Alexander Tack, Felix Ambellan, 2019, Medical Image Anal..

Knee menisci segmentation using convolutional neural networks: data from the Osteoarthritis Initiative.

S Zachow, A. Mukhopadhyay, S. Zachow, 2018, Osteoarthritis and cartilage.

Fully automated Assessment of Knee Alignment from Full-Leg X-Rays employing a "YOLOv4 And Resnet Landmark regression Algorithm" (YARLA): Data from the Osteoarthritis Initiative

Bernhard Preim, Stefan Zachow, Alexander Tack, 2021, Comput. Methods Programs Biomed..

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images

Nicol'as P'erez de Olaguer, Bjorn H. Menze, Maximilian T. Loffler, 2020, Medical Image Anal..

Shape‐aware surface reconstruction from sparse 3D point‐clouds

Johan Thunberg, Luis Salamanca, Florian Bernard, 2016, Medical Image Anal..

Towards novel osteoarthritis biomarkers: Multi-criteria evaluation of 46,996 segmented knee MRI data from the Osteoarthritis Initiative

S. Zachow, A. Tack, F. Ambellan, 2021, PloS one.

A Multi-Task Deep Learning Method for Detection of Meniscal Tears in MRI Data from the Osteoarthritis Initiative Database

S. Zachow, A. Tack, David Lüdke, 2021, Frontiers in Bioengineering and Biotechnology.

Accurate Automated Volumetry of Cartilage of the Knee Using Convolutional Neural Networks: Data From the Osteoarthritis Initiative

Stefan Zachow, Alexander Tack, S. Zachow, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Shape-aware Surface Reconstruction from Sparse Data pdf

Johan Thunberg, Luis Salamanca, Florian Bernard, 2016, ArXiv.