activity
20202026
most citedHACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

hep-ex2026

Study of decays at Belle and Belle II

Belle, Belle II Collaborations, : +412

We report a measurement of the branching fraction for the leptonic decay . This work presents the first result using Belle~II data, an updated Belle me…

hep-ex2026

A search for feebly-interacting particles in decays with missing energy at Belle

Belle, Belle II Collaborations, : +406

We present a search for an invisible hidden-sector particle , produced in and decays, where , $…

q-bio.QM2021

BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images

Nadia Brancati, Anna Maria Anniciello, Pushpak Pati +10

Breast cancer is the most commonly diagnosed cancer and registers the highest number of deaths for women with cancer. Recent advancements in diagnostic activities combined with lar…

cs.CV2021

Hierarchical Graph Representations in Digital Pathology

Pushpak Pati, Guillaume Jaume, Antonio Foncubierta +14

Cancer diagnosis, prognosis, and therapy response predictions from tissue specimens highly depend on the phenotype and topological distribution of constituting histological entitie…

cs.CV2020★ 1 cited

HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification

Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes +13

Cancer diagnosis, prognosis, and therapeutic response prediction are heavily influenced by the relationship between the histopathological structures and the function of the tissue.…