Search Results for author: Michael Bach

Found 3 papers, 1 papers with code

Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration

no code implementations3 Oct 2024 Julia Alekseenko, Bram Stieltjes, Michael Bach, Melanie Boerries, Oliver Opitz, Alexandros Karargyris, Nicolas Padoy

The IHU Strasbourg (Institute of Minimal-invasive Surgery) has the lead in this initiative to develop the federated learning (FL) proof of concept (POC) that will serve as a foundation for advancing AI in healthcare.

Federated Learning

Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI

no code implementations30 Aug 2024 Ashraya K. Indrakanti, Jakob Wasserthal, Martin Segeroth, Shan Yang, Victor Schulze-Zachau, Joshy Cyriac, Michael Bach, Marios Psychogios, Matthias A. Mutke

Purpose: To develop an open-source nnU-Net-based AI model for combined detection and segmentation of unruptured intracranial aneurysms (UICA) in 3D TOF-MRI, and compare models trained on datasets with aneurysm-like differential diagnoses.

Segmentation

TotalSegmentator: robust segmentation of 104 anatomical structures in CT images

1 code implementation11 Aug 2022 Jakob Wasserthal, Hanns-Christian Breit, Manfred T. Meyer, Maurice Pradella, Daniel Hinck, Alexander W. Sauter, Tobias Heye, Daniel Boll, Joshy Cyriac, Shan Yang, Michael Bach, Martin Segeroth

The model significantly outperformed another publicly available segmentation model on a separate dataset (Dice score, 0. 932 versus 0. 871, respectively).

Segmentation

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