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Summary of the underlying publications.

507 manual segmentations. The OAI-ZIB dataset.

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 (2019)

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Manual Segmentation

Automated assessment of knee alignment. The ZIB-LM dataset.

Alexander Tack, Bernhard Preim, Stefan Zachow:
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

Computer Methods and Programs in Biomedicine (2021)

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Knee Alignment

46'996 automated segmentations of DESS MRI Data.

Alexander Tack, Felix Ambellan, Stefan Zachow:
Towards Novel Osteoarthritis Biomarkers: Multi-Criteria Evaluation of 46,996 Segmented Knee MRI data from the Osteoarthritis Initiative.

PLOS One (2021)

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Automated Segmentation

2'399 automated segmentations of knee menisci (DESS and IW TSE MRI Data).

Alexander Tack, Alexey Shestakov, David Luedke, Stefan Zachow:
A deep multi-task learning method for detection of meniscal tears in MRI data from the Osteoarthritis Initiative database.

Frontiers in Bioengineering and Biotechnology (accepted for publication) (2021)

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Automated Segmentation

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