ResearcherUniversity Health NetworkActive in the last 2 years

Andres Alejandro Kohan

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0003-3592-3000; OpenAlex author ID A5005964235. Sources: OpenAlex.

Their work

Papers: 2
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 6

Papers, trials and grants by year

2022: 1 paper · 2023: none · 2024: none · 2025: none · 2026: 1 paper

Papers 2

AI-Based Segmentation Reduces the Retrospective Miss Rate of Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1007/s10278-025-01792-0 ↗
CT Radiomics and Whole Genome Sequencing in Patients with Pancreatic Ductal Adenocarcinoma: Predictive Radiogenomics Modeling. Co-author DOI 10.3390/cancers14246224 ↗

Closest collaborators

The 6 strongest of 6 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Masoom A. Haider · 2 shared papers, 2022–2026 · strength 0.51
- Paper AI-Based Segmentation Reduces the Retrospective Miss Rate of Pancreatic Ductal Adenocarcinoma. DOI 10.1007/s10278-025-01792-0 ↗
- Paper CT Radiomics and Whole Genome Sequencing in Patients with Pancreatic Ductal Adenocarcinoma: Predictive Radiogenomics Mo… DOI 10.3390/cancers14246224 ↗
David Henault · 1 shared paper, 2026 · strength 0.36
- Paper AI-Based Segmentation Reduces the Retrospective Miss Rate of Pancreatic Ductal Adenocarcinoma. DOI 10.1007/s10278-025-01792-0 ↗
Robert C. Grant · 1 shared paper, 2026 · strength 0.36
- Paper AI-Based Segmentation Reduces the Retrospective Miss Rate of Pancreatic Ductal Adenocarcinoma. DOI 10.1007/s10278-025-01792-0 ↗
Steve Gallinger · 1 shared paper, 2026 · strength 0.36
- Paper AI-Based Segmentation Reduces the Retrospective Miss Rate of Pancreatic Ductal Adenocarcinoma. DOI 10.1007/s10278-025-01792-0 ↗
Ricarda Hinzpeter · 1 shared paper, 2022 · strength 0.16
- Paper CT Radiomics and Whole Genome Sequencing in Patients with Pancreatic Ductal Adenocarcinoma: Predictive Radiogenomics Mo… DOI 10.3390/cancers14246224 ↗
Patrick Veit‐Haibach · 1 shared paper, 2022 · strength 0.16
- Paper CT Radiomics and Whole Genome Sequencing in Patients with Pancreatic Ductal Adenocarcinoma: Predictive Radiogenomics Mo… DOI 10.3390/cancers14246224 ↗

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.