Stefan M. Fischer

According to our database, Stefan M. Fischer authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LocBAM: Advancing 3D Patch-Based Image Segmentation by Integrating Location Contex.

Donnate Hooft, Stefan M. Fischer, Cosmin Bercea, Jan C. Peeken, Julia A. Schnabel

CoRR, January, 2026

LOCBAM: Advancing 3D Patch-Based Image Segmentation by Integrating Location Context.

Donnate Hooft, Stefan M. Fischer, Cosmin Bercea, Jan C. Peeken, Julia A. Schnabel

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Abstract: Progressive Growing of Patch Size - Curriculum Learning for Accelerated, Improved Medical Image Segmentation.

Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel

Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

2025

TomoGraphView: 3D Medical Image Classification with Omnidirectional Slice Representations and Graph Neural Networks.

Johannes Kiechle, Stefan M. Fischer, Daniel M. Lang, Cosmin I. Bercea, Matthew Nyflot, Lina Felsner, Julia A. Schnabel, Jan C. Peeken

CoRR, November, 2025

Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation.

Stefan M. Fischer, Johannes Kiechle, Laura Daza, Lina Felsner, Richard Osuala, Daniel M. Lang, Karim Lekadir, Jan C. Peeken, Julia A. Schnabel

CoRR, October, 2025

2024

LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification.

Reuben Dorent, Roya Khajavi, Tagwa Idris, Erik Ziegler, Bhanusupriya Somarouthu, Heather Jacene, Ann S. LaCasce, Jonathan Deissler, Jan Ehrhardt, Sofija Engelson, Stefan M. Fischer, Yun Gu, Heinz Handels, Satoshi Kasai, Satoshi Kondo, Klaus H. Maier-Hein, Julia A. Schnabel, Guotai Wang, Litingyu Wang, Tassilo Wald, Guang-Zhong Yang, Hanxiao Zhang, Minghui Zhang, Steven D. Pieper, Gordon J. Harris, Ron Kikinis, Tina Kapur

CoRR, 2024

Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge.

Stefan M. Fischer, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel

CoRR, 2024

Graph Neural Networks: A Suitable Alternative to MLPs in Latent 3D Medical Image Classification?

Johannes Kiechle, Daniel Lang, Stefan M. Fischer, Lina Felsner, Jan C. Peeken, Julia A. Schnabel

Proceedings of the Graphs in Biomedical Image Analysis - 6th International Workshop, 2024

Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks.

Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks.

Johannes Kiechle, Stefan M. Fischer, Daniel M. Lang, Maxime Di Folco, Sarah C. Foreman, Verena K. N. Rösner, Ann-Kathrin Lohse, Carolin Mogler, Carolin Knebel, Marcus R. Makowski, Klaus Woertler, Stephanie E. Combs, Alexandra S. Gersing, Jan C. Peeken, Julia A. Schnabel

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024