ResearcherUniversity of British ColumbiaActive in the last 2 years

Julia R. Naso

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

Matched on ORCID iD 0000-0002-7799-7860; OpenAlex author ID A5075317787. Sources: OpenAlex.

Their work

Papers: 2
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 9

Papers, trials and grants by year

2021: 1 paper · 2022: none · 2023: none · 2024: 1 paper

Papers 2

A Deep Learning Approach for the Identification of the Molecular Subtypes of Pancreatic Ductal Adenocarcinoma Based on Whole Slide Pathology Images. Co-author DOI 10.1016/j.ajpath.2024.08.006 ↗
Tumor infiltrating neutrophils and gland formation predict overall survival and molecular subgroups in pancreatic ductal adenocarcinoma. Co-author DOI 10.1002/cam4.3695 ↗

Closest collaborators

The 9 strongest of 9 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Joanna M. Karasinska · 2 shared papers, 2021–2024 · strength 0.31
- Paper A Deep Learning Approach for the Identification of the Molecular Subtypes of Pancreatic Ductal Adenocarcinoma Based on … DOI 10.1016/j.ajpath.2024.08.006 ↗
- Paper Tumor infiltrating neutrophils and gland formation predict overall survival and molecular subgroups in pancreatic ducta… DOI 10.1002/cam4.3695 ↗
James Thomas Topham · 2 shared papers, 2021–2024 · strength 0.31
- Paper A Deep Learning Approach for the Identification of the Molecular Subtypes of Pancreatic Ductal Adenocarcinoma Based on … DOI 10.1016/j.ajpath.2024.08.006 ↗
- Paper Tumor infiltrating neutrophils and gland formation predict overall survival and molecular subgroups in pancreatic ducta… DOI 10.1002/cam4.3695 ↗
David F. Schaeffer · 2 shared papers, 2021–2024 · strength 0.31
- Paper A Deep Learning Approach for the Identification of the Molecular Subtypes of Pancreatic Ductal Adenocarcinoma Based on … DOI 10.1016/j.ajpath.2024.08.006 ↗
- Paper Tumor infiltrating neutrophils and gland formation predict overall survival and molecular subgroups in pancreatic ducta… DOI 10.1002/cam4.3695 ↗
Daniel John Renouf · 2 shared papers, 2021–2024 · strength 0.31
- Paper A Deep Learning Approach for the Identification of the Molecular Subtypes of Pancreatic Ductal Adenocarcinoma Based on … DOI 10.1016/j.ajpath.2024.08.006 ↗
- Paper Tumor infiltrating neutrophils and gland formation predict overall survival and molecular subgroups in pancreatic ducta… DOI 10.1002/cam4.3695 ↗
Ali Bashashati · 1 shared paper, 2024 · strength 0.20
- Paper A Deep Learning Approach for the Identification of the Molecular Subtypes of Pancreatic Ductal Adenocarcinoma Based on … DOI 10.1016/j.ajpath.2024.08.006 ↗
Pouya Ahmadvand · 1 shared paper, 2024 · strength 0.20
- Paper A Deep Learning Approach for the Identification of the Molecular Subtypes of Pancreatic Ductal Adenocarcinoma Based on … DOI 10.1016/j.ajpath.2024.08.006 ↗
Michael K.C. Lee · 1 shared paper, 2021 · strength 0.11
- Paper Tumor infiltrating neutrophils and gland formation predict overall survival and molecular subgroups in pancreatic ducta… DOI 10.1002/cam4.3695 ↗
Steve E. Kalloger · 1 shared paper, 2021 · strength 0.11
- Paper Tumor infiltrating neutrophils and gland formation predict overall survival and molecular subgroups in pancreatic ducta… DOI 10.1002/cam4.3695 ↗
Hui‐Li Wong · 1 shared paper, 2021 · strength 0.11
- Paper Tumor infiltrating neutrophils and gland formation predict overall survival and molecular subgroups in pancreatic ducta… DOI 10.1002/cam4.3695 ↗

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.