Tim Lenz

5PUBLICATIONS
31CO-AUTHORS
Deep learningPredictive and prognostic markersGenomics and transcriptomicsMedical devicesQuantum information, computation and communication
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Publications (5)

|Jun 17, 2026
Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology.

|Feb 20, 2026
Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response.

Nic G Reitsam, Xiaofeng Jiang, Junhao Liang

|Jan 20, 2025
Deep Learning for Biomarker Discovery in Cancer Genomes.

Michaela Unger, Chiara M L Loeffler, Laura Žigutytė

|Nov 18, 2024
Counterfactual Diffusion Models for Interpretable Morphology-based Explanations of Artificial Intelligence Models in Pathology.

Laura Žigutytė, Tim Lenz, Tianyu Han

|May 28, 2022
Measured Composite Collision Models: Quantum Trajectory Purities and Channel Divisibility.

Konstantin Beyer, Kimmo Luoma, Tim Lenz

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Frequent Collaborators

3 joint publications

Laura Žigutytė

3 joint publications

Nic Gabriel Reitsam

3 joint publications

Zunamys I Carrero

3 joint publications

Michaela Unger