output
20032025
most citedPrimary liver cancer classification from routine tumour biopsy using weakly supervised deep learning

34 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

7 papers

cs.LG2025

Efficient Precision Control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting

Vincent Blot, Alexandra Lorenzo de Brionne, Ines Sellami +4

Image analysis is a key tool for describing the detailed mechanisms of folliculogenesis, such as evaluating the quantity of mouse Primordial ovarian Follicles (PMF) in the ovarian…

cs.CR2025★ 3 cited

Synthetic Data and Health Privacy

Gwénolé Abgrall, Xavier Monnet, Anmol Arora

This Viewpoint discusses generative artificial intelligence and safeguarding privacy by using synthetic data as a substitute for private health data.

q-bio.TO2024★ 34 cited

Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning

Aurélie Beaufrère, Nora Ouzir, Paul Emile Zafar +8

The diagnosis of primary liver cancers (PLCs) can be challenging, especially on biopsies and for combined hepatocellular-cholangiocarcinoma (cHCC-CCA). We automatically classified…

math.PR2023

Toward organ shortage resilient allocation policies using real-time queueing models for liver transplantation

Thomas Masanet, Benoît Audry, Christian Jacquelinet +1

We report in this paper on the potential interest of real-time queueing models to optimize organ allocation policies. We especially focus on building organ shortage resilient polic…

eess.IV2023

A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer

Aymen Sadraoui, Ségolène Martin, Eliott Barbot +4

This paper presents a new approach for classifying 2D histopathology patches using few-shot learning. The method is designed to tackle a significant challenge in histopathology, wh…

q-bio.TO2023

Evaluation of the mitotic score of invasive breast carcinomas on digital slide: development and contribution of a mitosis detection algorithm

Loris Guichard, Clara Simmat, Margot Dupeux +6

Introduction: Nottingham grading system is a major prognostic factor for invasive breast carcinoma (IBC). Its determination requires the evaluation of the mitotic score (MS) which…

physics.atom-ph2003★ 34 cited

High nuclear polarization of helium-3 at low and high pressure by metastability exchange optical pumping at 1.5 Tesla

Marie Abboud, Alice Sinatra, Xavier Maitre +2

We perform metastability exchange optical pumping of helium-3 in a strong magnetic field of 1.5 T. The achieved nuclear polarization, from 80% at 1.33 mbar to 25% at 67 mbar, shows…