← Search

Frederick Klauschen

2 accepted papers

2024

xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology

NeurIPS 2024poster

Multiple instance learning (MIL) is an effective and widely used approach for weakly supervised machine learning. In histopathology, MIL models have achieved remarkable success in tasks like tumor detection, biomarker prediction, and outcome prognostication. However, MIL explanation methods are stil…

Cited by 2SourcePDFScholar
2023

DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology

NeurIPS 2023spotlight

We present DiffInfinite, a hierarchical diffusion model that generates arbitrarily large histological images while preserving long-range correlation structural information. Our approach first generates synthetic segmentation masks, subsequently used as conditions for the high-fidelity generative dif…