Julius Hense
Scholar

Julius Hense

Google Scholar ID: ZqXZKacAAAAJ
PhD Student at BIFOLD, TU Berlin
Computational PathologyExplainable AIMultimodal LearningRepresentation Learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
76
 
H-index
5
 
i10-index
2
 
Publications
7
 
Co-authors
14
list available
Contact
Emailj.hense@tu-berlin.deGitHubOpen ↗
Publications
5 items
Beyond Attention Heatmaps: How to Get Better Explanations for Multiple Instance Learning Models in Histopathology
2026
Cited
0
Mind the Gap: Continuous Magnification Sampling for Pathology Foundation Models
2026
Cited
0
Towards Robust Foundation Models for Digital Pathology
2025
Cited
0
MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification
2025
Cited
0
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
arXiv.org · 2024
Cited
2
Resume (English only)
Co-authors
14 total
Jonas Dippel
Jonas Dippel
TU Berlin
Klaus-Robert Müller
Klaus-Robert Müller
TU Berlin & Korea University & Google DeepMind & Max Planck Institute for Informatics, Germany
Frederick Klauschen
Frederick Klauschen
Institute of Pathology, University of Munich (LMU)
Lukas Ruff
Lukas Ruff
Aignostics
Niklas Prenißl
Niklas Prenißl
Charité Universitätsmedizin Berlin
Maximilian Alber
Maximilian Alber
TU Berlin
Jonah Kömen
Jonah Kömen
Student, Technische Universität Berlin
Philipp Liznerski
Philipp Liznerski
PhD Student, RPTU Kaiserslautern-Landau