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Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types
Chiara Maria Lavinia Loeffler, Nadine Therese Gaisa, Hannah Sophie Muti, Marko van Treeck, Amelie Echle, Narmin Ghaffari Laleh, +5 more
26citations -
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization2021 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman
3citations -
Data-driven decoding of quantum error correcting codes using graph neural networks2025 Physical Review Research article Computer Science Quantum Computing Algorithms and Architecture Open access
Moritz Lange, Pontus Havström, Basudha Srivastava, Isak Bengtsson, Valdemar Bergentall, Karl Hammar, +3 more
24citations -
CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation2024 The Journal of Machine Learning for Biomedical Imaging article Computer Science Generative Adversarial Networks and Image Synthesis Open access
Yunjie Chen, Marius Staring, Olaf M. Neve, Stephan R. Romeijn, Erik Frans Hensen, Berit M. Verbist, +2 more
6citations -
Systematic assessment of transcriptomic and phenotypic biological profiling for mechanism-based hazard assessment using target-annotated reference chemicals in renal proximal tubular epithelial cells2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access
Hugo W van Kessel, Marlene Wedler, Palle Steen Helmke, Dace Zigure, Stephen Ferguson, Joshua Harrill, +5 more
0citations -
Super-resolving Herschel : A deep-learning-based deconvolution and denoising technique2026 Astronomy and Astrophysics article Computer Science Advanced Image Processing Techniques Open access
Dennis Koopmans, Lingyu Wang, Berta Margalef-Bentabol, Antonio La Marca, M. Béthermin, Laura Bisigello, +6 more
0citations -
Adversarial attacks and adversarial robustness in computational pathology2022 Nature Communications article Computer Science Adversarial Robustness in Machine Learning Open access
Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen, Tianyu Han, Marko van Treeck, Roman David Buelow, +5 more
115citations -
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer2021 IEEE Access article Computer Science Medical Image Segmentation Techniques Open access cited by 2 patents
Mohamed S. Elmahdy, Laurens Beljaards, Sahar Yousefi, Hessam Sokooti, Fons J. Verbeek, Uulke A. van der Heide, +1 more
35citations -
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation2024 Medical Image Analysis article Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent
Pak-Hei Yeung, Linde S. Hesse, Moska Aliasi, Monique C. Haak, Weidi Xie, Ana I. L. Namburete
20citations -
Adversarial attacks and adversarial robustness in computational pathology2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen, Tianyu Han, Marko van Treeck, Roman David Buelow, +5 more
14citations -
MedicalPatchNet: a patch-based self-explainable AI architecture for chest X-ray classification2026 Scientific Reports article Computer Science Explainable Artificial Intelligence (XAI) Open access
Patrick Wienholt, Christiane Katharina Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
3citations