Sebastian Försch

11PUBLICATIONS

71CO-AUTHORS

Evolutionary computationDeep learningPredictive and prognostic markersSemi- and unsupervised learning

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Publications (11)

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|Jul 01, 2026

A deep learning framework for efficient pathology image analysis.

|Jun 17, 2026

Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology.

|Apr 16, 2026

HISTAI: a valuable dataset with a valuable lesson.

|Oct 01, 2025

Benchmarking foundation models as feature extractors for weakly supervised computational pathology.

Peter Neidlinger, Omar S M El Nahhas, Hannah Sophie Muti

|Aug 14, 2025

HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancer.

Chiara M L Loeffler, Hideaki Bando, Srividhya Sainath

|Aug 12, 2025

Unconditional latent diffusion models memorize patient imaging data.

Salman Ul Hassan Dar, Marvin Seyfarth, Isabelle Ayx

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Frequent Collaborators

Jakob Nikolas Kather

Moritz Jesinghaus

Daniel Truhn

Michael Hoffmeister

Hermann Brenner

Nic Gabriel Reitsam

Markus Eckstein

Asier Rabasco Meneghetti

2 joint publications

Peter Neidlinger

2 joint publications

Zunamys I Carrero

Frequent Collaborators

Jakob Nikolas Kather

Moritz Jesinghaus

Daniel Truhn

Michael Hoffmeister