Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks. - Johannes Kiechle; Stefan M. Fischer; Daniel M. Lang 003; 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; et al. (ISBI, 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 003; Jan C. Peeken; Julia A. Schnabel (MICCAI (9), 2024)

Graph Neural Networks: A Suitable Alternative to MLPs in Latent 3D Medical Image Classification? - Johannes Kiechle; Daniel Lang 003; Stefan M. Fischer; Lina Felsner; Jan C. Peeken; Julia A. Schnabel (GRAIL@MICCAI, 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 003; Jan C. Peeken; Julia A. Schnabel (CoRR, 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; et al. (CoRR, 2024)