Daniel M. Lang
Scholar

Daniel M. Lang

Google Scholar ID: AV04Hs4AAAAJ
Helmholtz Munich, Technical University of Munich
medical imagingself-supervised learninganomaly detectiondeep learning
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Citations & Impact
All-time
Citations
137
 
H-index
6
 
i10-index
3
 
Publications
20
 
Co-authors
0
 
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Publications
8 items
Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging
2026
Cited
0
The Mean is the Mirage: Entropy-Adaptive Model Merging under Heterogeneous Domain Shifts in Medical Imaging
2026
Cited
0
MedDIFT: Multi-Scale Diffusion-Based Correspondence in 3D Medical Imaging
2025
Cited
0
TomoGraphView: 3D Medical Image Classification with Omnidirectional Slice Representations and Graph Neural Networks
2025
Cited
0
Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation
2025
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0
Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation
2025
Cited
0
Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI
2025
Cited
0
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks
arXiv.org · 2024
Cited
0
Resume (English only)
Co-authors
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