Stefan M. Fischer

11 papers Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
Abstract: Progressive Growing of Patch Size - Curriculum Learning for Accelerated, Improved Medical Image Segmentation.
Bildverarbeitung für die Medizin
Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel
2026 J jnl
LocBAM: Advancing 3D Patch-Based Image Segmentation by Integrating Location Contex.
CoRR
Donnate Hooft, Stefan M. Fischer, Cosmin Bercea, Jan C. Peeken, Julia A. Schnabel
2025 J jnl
Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation.
CoRR
Stefan M. Fischer, Johannes Kiechle, Laura Daza, Lina Felsner, Richard Osuala, Daniel M. Lang, Karim Lekadir, Jan C. Peeken, Julia A. Schnabel
2025 J jnl
TomoGraphView: 3D Medical Image Classification with Omnidirectional Slice Representations and Graph Neural Networks.
CoRR
Johannes Kiechle, Stefan M. Fischer, Daniel M. Lang, Cosmin I. Bercea, Matthew Nyflot, Lina Felsner, Julia A. Schnabel, Jan C. Peeken
2024 — conf
Graph Neural Networks: A Suitable Alternative to MLPs in Latent 3D Medical Image Classification?
GRAIL@MICCAI
Johannes Kiechle, Daniel Lang, Stefan M. Fischer, Lina Felsner, Jan C. Peeken, Julia A. Schnabel
2024 J jnl
Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification?
CoRR
Johannes Kiechle, Daniel M. Lang, Stefan M. Fischer, Lina Felsner, Jan C. Peeken, Julia A. Schnabel
2024 J jnl
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification.
CoRR
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
2024 J jnl
Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge.
CoRR
Stefan M. Fischer, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel
2024 — conf
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks.
MICCAI (9)
Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel
2024 J jnl
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks.
CoRR
Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel
2024 — conf
Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks.
ISBI
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