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Julius Hense
Julius Hense
PhD Student at BIFOLD, TU Berlin
Verified email at tu-berlin.de - Homepage
Title
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Year
A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images
S Arslan, J Schmidt, C Bass, D Mehrotra, A Geraldes, S Singhal, J Hense, ...
Communications Medicine 4 (1), 48, 2024
14*2024
Evaluation of a predictive method for the H&E-based molecular profiling of breast cancer with deep learning
S Arslan, X Li, J Schmidt, J Hense, A Geraldes, C Bass, K Brown, ...
bioRxiv, 2022.01. 04.474882, 2022
52022
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
J Dippel, N Prenißl, J Hense, P Liznerski, T Winterhoff, S Schallenberg, ...
arXiv preprint arXiv:2406.14866, 2024
2024
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
J Hense, MJ Idaji, O Eberle, T Schnake, J Dippel, L Ciernik, O Buchstab, ...
arXiv preprint arXiv:2406.04280, 2024
2024
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Articles 1–4