Graph Representation Learning and Explainability in Breast Cancer Pathology: Bridging the Gap between AI and Pathology Practice
Pushpak Pati(Johnson & Johnson (United States)), Maria Gabrani(IBM Research - Zurich), Orçun Göksel(ETH Zurich), Daniel Riccio(Ingegneria dei Trasporti (Italy)), Antonio Foncubierta–Rodríguez(IBM Research - Zurich), Giosuè Scognamiglio(Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale"), Jean‐Philippe Thiran(École Polytechnique Fédérale de Lausanne), Guillaume Jaume(Broad Institute), Florinda Feroce(Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale"), Nadia Brancati(Institute for High Performance Computing and Networking), Anna Maria Anniciello(Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale"), Maria Frucci(Institute for High Performance Computing and Networking)
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