Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction

no code implementations • 30 Mar 2024 • Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang, Katherine L. Bouman

Photoacoustic tomography (PAT) is a rapidly-evolving medical imaging modality that combines optical absorption contrast with ultrasound imaging depth.

Image Reconstruction

DECoVaC: Design of Experiments with Controlled Variability Components

no code implementations • 21 Sep 2019 • Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris Oreshkin, Julien Cornebise

Reproducible research in Machine Learning has seen a salutary abundance of progress lately: workflows, transparency, and statistical analysis of validation and test performance.

BIG-bench Machine Learning Experimental Design

A large-scale crowdsourced analysis of abuse against women journalists and politicians on Twitter

no code implementations • 31 Jan 2019 • Laure Delisle, Alfredo Kalaitzis, Krzysztof Majewski, Archy de Berker, Milena Marin, Julien Cornebise

We report the first, to the best of our knowledge, hand-in-hand collaboration between human rights activists and machine learners, leveraging crowd-sourcing to study online abuse against women on Twitter.