De Rham compatible Deep Neural Networks. - Marcello Longo; Joost A. A. Opschoor; Nico Disch; Christoph Schwab; Jakob Zech (CoRR, 2022)

SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model. - Saikat Roy; Tassilo Wald; Gregor Köhler; Maximilian Rokuss; Nico Disch; Julius Holzschuh; David Zimmerer; Klaus H. Maier-Hein (CoRR, 2023)

De Rham compatible Deep Neural Network FEM. - Marcello Longo; Joost A. A. Opschoor; Nico Disch; Christoph Schwab; Jakob Zech (Neural Networks, 2023)

Back to the Future: Challenges of Sparse and Irregular Medical Image Time Series. - Nico Disch; Robin Peretzke; Saikat Roy; Constantin Ulrich; David Zimmerer; Rainer Stiefelhagen; Jens Kleesiek; Klaus H. Maier-Hein (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation. - Karol Gotkowski; Carsten T. Lüth; Paul F. Jäger; Sebastian Ziegler; Lars Krämer; Stefan Denner; Shuhan Xiao; Nico Disch; Klaus H. Maier-Hein; Fabian Isensee (CoRR, 2024)