Scholar
Daniel M. Lang
Google Scholar ID: AV04Hs4AAAAJ
Helmholtz Munich, Technical University of Munich
medical imaging
self-supervised learning
anomaly detection
deep learning
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Citations & Impact
All-time
Citations
137
H-index
6
i10-index
3
Publications
20
Co-authors
0
Publications
11 items
Applications of Neural Cellular Automata: State of the Art, Challenges and Opportunities
2026
Cited
0
Dense Temporal Contrast Synthesis via Conditioned Latent Transport
2026
Cited
0
Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction
2026
Cited
0
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
Cited
0
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