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Daniel M. Lang
Daniel M. Lang
Postdoctoral Researcher
Verified email at helmholtz-munich.de
Title
Cited by
Cited by
Year
Deep learning based HPV status prediction for oropharyngeal cancer patients
DM Lang, JC Peeken, SE Combs, JJ Wilkens, S Bartzsch
Cancers 13 (4), 786, 2021
352021
Sum rule improved double parton distributions in position space
M Diehl, JR Gaunt, DM Lang, P Ploessl, A Schäfer
The European Physical Journal C 80, 1-19, 2020
222020
Deep learning based GTV delineation and progression free survival risk score prediction for head and neck cancer patients
DM Lang, JC Peeken, SE Combs, JJ Wilkens, S Bartzsch
3D Head and Neck Tumor Segmentation in PET/CT Challenge, 150-159, 2021
82021
Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
R Osuala, D Lang, P Verma, S Joshi, A Tsirikoglou, G Skorupko, ...
arXiv preprint arXiv:2403.13890, 2024
22024
Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI
DM Lang, E Schwartz, CI Bercea, R Giryes, JA Schnabel
MICCAI Workshop on Cancer Prevention through Early Detection, 55-67, 2023
2*2023
A Video Data Based Transfer Learning Approach for Classification of MGMT Status in Brain Tumor MR Images
DM Lang, JC Peeken, SE Combs, JJ Wilkens, S Bartzsch
International MICCAI Brainlesion Workshop, 306-314, 2021
22021
Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge
SM Fischer, J Kiechle, DM Lang, JC Peeken, JA Schnabel
Machine Learning for Biomedical Imaging 2 (MICCAI 2023 LNQ challenge special …, 2024
12024
Risk Score Classification of Renal Masses on CT Imaging Data Using a Convolutional Neural Network
DM Lang, JC Peeken, SE Combs, JJ Wilkens, S Bartzsch
2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC), 1-4, 2022
12022
MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI
MB Alaya, DM Lang, B Wiestler, JA Schnabel, CI Bercea
arXiv preprint arXiv:2407.15270, 2024
2024
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data
R Osuala, DM Lang, A Riess, G Kaissis, Z Szafranowska, G Skorupko, ...
arXiv preprint arXiv:2407.12669, 2024
2024
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks
SM Fischer, L Felsner, R Osuala, J Kiechle, DM Lang, JC Peeken, ...
arXiv preprint arXiv:2407.07853, 2024
2024
Non-Parametric Neighborhood Test-Time Generalization: Application to Medical Image Classification
S Ambekar, JA Schnabel, DM Lang
MICCAI Student Board EMERGE Workshop: Empowering MEdical image computing …, 2024
2024
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