Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients. - Daniel M. Lang 003; Jan C. Peeken; Stephanie E. Combs; Jan J. Wilkens; Stefan Bartzsch (CoRR, 2020)

A Video Data Based Transfer Learning Approach for Classification of MGMT Status in Brain Tumor MR Images. - Daniel M. Lang 003; Jan C. Peeken; Stephanie E. Combs; Jan J. Wilkens; Stefan Bartzsch (BrainLes@MICCAI (1), 2021)

Deep Learning Based GTV Delineation and Progression Free Survival Risk Score Prediction for Head and Neck Cancer Patients. - Daniel M. Lang 003; Jan C. Peeken; Stephanie E. Combs; Jan J. Wilkens; Stefan Bartzsch (HECKTOR@MICCAI, 2021)

Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI. - Daniel M. Lang 003; Eli Schwartz; Cosmin I. Bercea; Raja Giryes; Julia A. Schnabel (CaPTion@MICCAI, 2023)

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)

MedEdit: Counterfactual Diffusion-Based Image Editing on Brain MRI. - Malek Ben Alaya; Daniel M. Lang 003; Benedikt Wiestler; Julia A. Schnabel; Cosmin I. Bercea (SASHIMI@MICCAI, 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)

Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic Data. - Richard Osuala; Daniel Lang 003; Anneliese Riess; Georgios Kaissis; Zuzanna Szafranowska; Grzegorz Skorupko; Oliver Díaz; Julia A. Schnabel; Karim Lekadir (Deep-Breath@MICCAI, 2024)

Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. - Richard Osuala; Daniel M. Lang 003; Preeti Verma; Smriti Joshi; Apostolia Tsirikoglou; Grzegorz Skorupko; Kaisar Kushibar; Lidia Garrucho; Walter H. L. Pinaya; Oliver Díaz; Julia A. Schnabel; Karim Lekadir (MICCAI (5), 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)

Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks. - Richard Osuala; Smriti Joshi; Apostolia Tsirikoglou; Lidia Garrucho; Walter H. L. Pinaya; Daniel M. Lang 003; Julia A. Schnabel; Oliver Díaz; Karim Lekadir (CoRR, 2024)

Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI. - Daniel M. Lang 003; Richard Osuala; Veronika Spieker; Karim Lekadir; Rickmer Braren; Julia A. Schnabel (CoRR, 2025)

Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation. - Sameer Ambekar; Daniel M. Lang 003; Julia A. Schnabel (CoRR, 2025)