Sonali Andani

A High-Performance System for Robust Stain Normalization of Whole-Slide Images in Histopathology

Andreea Anghel, Peter J. Wild, Haralampos Pozidis, 2019, Front. Med..

Establishing standardized immune phenotyping of metastatic melanoma by digital pathology

Vipin T. Sreedharan, Nora C. Toussaint, Christian P. Kunze, 2021, Laboratory Investigation.

Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts.

H. Mackay, J. Dijkstra, T. Bosse, 2022, The Lancet. Digital health.

Accelerated ML-Assisted Tumor Detection in High-Resolution Histopathology Images

Andreea Anghel, Nikolas Ioannou, Nikolaos Papandreou, 2019, MICCAI.

Interpretable Deep Learning Predicts the Molecular Endometrial Cancer Classification from H&E Images: A Combined Analysis of the Portec Randomized Clinical Trials

H. Mackay, J. Dijkstra, T. Bosse, 2022, SSRN Electronic Journal.

ROS Induction Targets Persister Cancer Cells with Low Metabolic Activity in NRAS-Mutated Melanoma.

Vipin T. Sreedharan, Nora C. Toussaint, Christian P. Kunze, 2023, Cancer research.

A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology

Andreea Anghel, Haralampos Pozidis, Maria Gabrani, 2018, ECCV Workshops.

Representation learning for multi-modal spatially resolved transcriptomics data

Audrey van Drogen, V. Koelzer, R. Wegmann, 2024, medRxiv.