Daniel M. Lang

20 papers Journal 12Unranked 8

Year	Rank	Type	Title / 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
2025	J	`jnl`	Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation. CoRR Sameer Ambekar, Daniel M. Lang, Julia A. Schnabel
2025	J	`jnl`	MedDIFT: Multi-Scale Diffusion-Based Correspondence in 3D Medical Imaging. CoRR Xingyu Zhang, Anna Reithmeir, Fryderyk Victor Kögl, Rickmer Braren, Julia A. Schnabel, Daniel M. Lang
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`	Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI. CoRR Daniel M. Lang, Richard Osuala, Veronika Spieker, Karim Lekadir, Rickmer Braren, 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	J	`jnl`	Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data. CoRR Richard Osuala, Daniel M. Lang, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Díaz, Julia A. Schnabel, Karim Lekadir
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`	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`	MedEdit: Counterfactual Diffusion-Based Image Editing on Brain MRI. SASHIMI@MICCAI Malek Ben Alaya, Daniel M. Lang, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
2024	J	`jnl`	MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI. CoRR Malek Ben Alaya, Daniel M. Lang, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
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	J	`jnl`	Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks. CoRR Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Daniel M. Lang, Julia A. Schnabel, Oliver Díaz, Karim Lekadir
2024	—	`conf`	Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. MICCAI (5) Richard Osuala, Daniel M. Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Julia A. Schnabel, Karim Lekadir
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
2023	—	`conf`	Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI. CaPTion@MICCAI Daniel M. Lang, Eli Schwartz, Cosmin I. Bercea, Raja Giryes, Julia A. Schnabel
2021	—	`conf`	A Video Data Based Transfer Learning Approach for Classification of MGMT Status in Brain Tumor MR Images. BrainLes@MICCAI (1) Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch
2021	—	`conf`	Deep Learning Based GTV Delineation and Progression Free Survival Risk Score Prediction for Head and Neck Cancer Patients. HECKTOR@MICCAI Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch
2020	J	`jnl`	Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients. CoRR Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch