Joseph Boyd

Researcher, GSK plc

Joined

November 2022

Names

Joseph Boyd (Preferred)

Emails

****@centralesupelec.fr (Confirmed)

****@gsk.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

GSK plc (gsk.com)

2024 – 2026

Postdoc

Université Paris-Saclay (universite-paris-saclay.fr)

2021 – 2023

PhD student

Mines ParisTech (mines-paristech.fr)

2016 – 2020

MS student

EPFL (epfl.ch)

2013 – 2015

Advisors, Relations & Conflicts

No relations added

Expertise

Deep learning

Present

Biomedical imaging

Present

Computer vision

Present

Bioimage informatics

Present

Single cell informatics

Present

Publications

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
- 2022 (modified: 14 Nov 2022)
- MICCAI (2) 2022
- Readers: Everyone
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology
Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou
- 2021 (modified: 14 Nov 2022)
- ICCVW 2021
- Readers: Everyone
Deep learning for computational phenotyping in cell-based assays. (Apprentissage profond pour le phénotypage computationnel dans les essais cellulaires)
Joseph Boyd
- 2020 (modified: 14 Nov 2022)
- undefined 2020
- Readers: Everyone
Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen
Joseph Boyd, Zelia Gouveia, Franck Perez, Thomas Walter
- 2020 (modified: 14 Nov 2022)
- ISBI 2020
- Readers: Everyone
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
- 2020 (modified: 14 Nov 2022)
- Bioinform. 2020
- Readers: Everyone
ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks
Beyrem Khalfaoui, Joseph Boyd, Jean-Philippe Vert
- 2019 (modified: 14 Nov 2022)
- CoRR 2019
- Readers: Everyone
Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort
Peter Naylor, Joseph Boyd, Marick Laé, Fabien Reyal, Thomas Walter
- 2019 (modified: 14 Nov 2022)
- ISBI 2019
- Readers: Everyone

Joseph Boyd

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Region-Guided CycleGANs for Stain Transfer in Whole Slide Images

Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology

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

Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen

Domain-invariant features for mechanism of action prediction in a multi-cell-line drug screen

ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks

Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort

Co-Authors