Daniel M. Lang

20 papers Journal 12Unranked 8
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
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