Analysing double-strand breaks in cultured cells for drug screening applications by causal inference. - Joseph Boyd; Alice Pinhiero; Elaine Del Nery; Fabien Reyal; Thomas Walter 003 (ISBI, 2018)

Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort. - Peter Naylor; Joseph Boyd; Marick Laé; Fabien Reyal; Thomas Walter 003 (ISBI, 2019)

ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks. - Beyrem Khalfaoui; Joseph Boyd; Jean-Philippe Vert (CoRR, 2019)

Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen. - Joseph Boyd; Zelia Gouveia; Franck Perez; Thomas Walter 003 (ISBI, 2020)

Domain-invariant features for mechanism of action prediction in a multi-cell-line drug screen. - Joseph Boyd; Alice Pinheiro; Elaine Del Nery; Fabien Reyal; Thomas Walter 003 (Bioinform., 2020)

Deep learning for computational phenotyping in cell-based assays. (Apprentissage profond pour le phénotypage computationnel dans les essais cellulaires). - Joseph Boyd (2020)

Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. - Joseph Boyd; Mykola Liashuha; Eric Deutsch; Nikos Paragios; Stergios Christodoulidis; Maria Vakalopoulou (ICCVW, 2021)

Region-Guided CycleGANs for Stain Transfer in Whole Slide Images. - Joseph Boyd; Irène Villa; Marie-Christine Mathieu; Eric Deutsch; Nikos Paragios; Maria Vakalopoulou; Stergios Christodoulidis (MICCAI (2), 2022)

Artifact Removal in Histopathology Images. - Cameron Dahan; Stergios Christodoulidis; Maria Vakalopoulou; Joseph Boyd (CoRR, 2022)

Structured State Space Models for Multiple Instance Learning in Digital Pathology. - Leo Fillioux; Joseph Boyd; Maria Vakalopoulou; Paul-Henry Cournède; Stergios Christodoulidis (MICCAI (1), 2023)