ResearcherOntario Institute for Cancer ResearchActive in the last 2 years
David Henault
Matched on ORCID iD 0000-0001-6611-5896; OpenAlex author ID A5112742000. Sources: OpenAlex.
Their work
- Papers
- 5 (first author 1, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 30
2024: 2 papers · 2025: none · 2026: 3 papers
Papers 5
- AI-Based Segmentation Reduces the Retrospective Miss Rate of Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1007/s10278-025-01792-0↗
- Deep Learning of Histopathology Predicts Outcomes After Surgery for Pancreatic Cancer. Co-author DOI 10.1200/cci-25-00268↗
- Multimodal Machine Learning for Predicting Outcomes in the PASS-01 Trial of Systemic Therapy for Metastatic Pancreatic Cancer First author DOI 10.64898/2026.08.24.26360900↗
- The neoadjuvant approach in resectable pancreatic ductal adenocarcinoma: lessons learned. Co-author DOI 10.1016/s2468-1253(23)00451-x↗
- Large Language Models for Automated Synoptic Reports and Resectability Categorization in Pancreatic Cancer. Co-author DOI 10.1148/radiol.233117↗
Closest collaborators
The 25 strongest of 30 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Steve Gallinger · 4 shared papers, 2024–2026 · strength 0.96
- Paper AI-Based Segmentation Reduces the Retrospective Miss Rate of Pancreatic Ductal Adenocarcinoma. DOI 10.1007/s10278-025-01792-0↗
- Paper Multimodal Machine Learning for Predicting Outcomes in the PASS-01 Trial of Systemic Therapy for Metastatic Pancreatic … DOI 10.64898/2026.08.24.26360900↗
- Paper Deep Learning of Histopathology Predicts Outcomes After Surgery for Pancreatic Cancer. DOI 10.1200/cci-25-00268↗
- Robert C. Grant · 3 shared papers, 2026 · strength 0.77
- Paper AI-Based Segmentation Reduces the Retrospective Miss Rate of Pancreatic Ductal Adenocarcinoma. DOI 10.1007/s10278-025-01792-0↗
- Paper Multimodal Machine Learning for Predicting Outcomes in the PASS-01 Trial of Systemic Therapy for Metastatic Pancreatic … DOI 10.64898/2026.08.24.26360900↗
- Paper Deep Learning of Histopathology Predicts Outcomes After Surgery for Pancreatic Cancer. DOI 10.1200/cci-25-00268↗
- Grainne Mary O'Kane · 2 shared papers, 2024–2026 · strength 0.57
- Wei Quan · 2 shared papers, 2026 · strength 0.41
- Jennifer Jane Knox · 2 shared papers, 2026 · strength 0.41
- Faiyaz Notta · 2 shared papers, 2026 · strength 0.41
- Christoph Benedikt Westphalen · 1 shared paper, 2024 · strength 0.36
- Masoom A. Haider · 1 shared paper, 2026 · strength 0.36
- Andres Alejandro Kohan · 1 shared paper, 2026 · strength 0.36
- Eugenia Flores Figueroa · 1 shared paper, 2026 · strength 0.21
- Eileen Mary O'Reilly · 1 shared paper, 2026 · strength 0.21
- Daniel A. King · 1 shared paper, 2026 · strength 0.21
- Andrew J. Aguirre · 1 shared paper, 2026 · strength 0.21
- Elizabeth M. Jaffee · 1 shared paper, 2026 · strength 0.21
- Brian Matthew Wolpin · 1 shared paper, 2026 · strength 0.21
- Erica S. Tsang · 1 shared paper, 2026 · strength 0.21
- Kimberly J. Perez · 1 shared paper, 2026 · strength 0.21
- David Arthur Tuveson · 1 shared paper, 2026 · strength 0.21
- Kenneth H. Yu · 1 shared paper, 2026 · strength 0.21
- Thierry Conroy · 1 shared paper, 2026 · strength 0.20
- Rémy Nicolle · 1 shared paper, 2026 · strength 0.20
- Avelyn Wong · 1 shared paper, 2026 · strength 0.20
- James Biagi · 1 shared paper, 2026 · strength 0.20
- Jerome F. Cros · 1 shared paper, 2026 · strength 0.20
- Pascal R. Hammel · 1 shared paper, 2026 · strength 0.20
How to reach this person
A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.