ResearcherUniversity of TorontoActive in the last 2 years
Paul Jack Karanicolas
Matched on ORCID iD 0000-0003-2906-7682; OpenAlex author ID A5074604408. Sources: ClinicalTrials.gov.
Their work
- Papers
- 8 (first author 1, last author 1)
- Trials
- 1 (principal investigator on 1)
- Grants
- 0
- Labs led
- 0
- Collaborators
- 15
2017: 2 papers · 2018: 1 trial · 2019: 1 paper · 2020: 2 papers · 2021: 2 papers · 2022: none · 2023: none · 2024: 1 paper
Papers 8
- Focused ultrasound and concurrent chemotherapy for the treatment of advanced pancreatic cancer: A systematic review. Last author DOI 10.1002/jso.27832↗
- Clinical Trials of Systemic Chemotherapy for Resectable Pancreatic Cancer: A Review. Co-author DOI 10.1001/jamasurg.2021.0149↗
- Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images. Co-author DOI 10.1038/s41598-021-80998-y↗
- CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging. Co-author DOI 10.1186/s12880-020-0418-1↗
- Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3389/frai.2020.550890↗
- Prognostic Value of CT Radiomic Features in Resectable Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1038/s41598-019-41728-7↗
- Optimistic honesty: understanding surgeon and patient perspectives on hopeful communication in pancreatic cancer care. First author DOI 10.1016/j.hpb.2017.04.001↗
- CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis. Co-author DOI 10.1186/s12880-017-0209-5↗
Trials 1
Closest collaborators
The 15 strongest of 15 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Farzad Khalvati · 5 shared papers, 2017–2021 · strength 0.61
- Paper Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning featu… DOI 10.1038/s41598-021-80998-y↗
- Paper CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging. DOI 10.1186/s12880-020-0418-1↗
- Paper Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. DOI 10.3389/frai.2020.550890↗
- Masoom A. Haider · 5 shared papers, 2017–2021 · strength 0.61
- Paper Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning featu… DOI 10.1038/s41598-021-80998-y↗
- Paper CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging. DOI 10.1186/s12880-020-0418-1↗
- Paper Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. DOI 10.3389/frai.2020.550890↗
- Steve Gallinger · 5 shared papers, 2017–2021 · strength 0.61
- Paper Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning featu… DOI 10.1038/s41598-021-80998-y↗
- Paper CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging. DOI 10.1186/s12880-020-0418-1↗
- Paper Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. DOI 10.3389/frai.2020.550890↗
- Yucheng Zhang · 4 shared papers, 2019–2021 · strength 0.53
- Paper Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning featu… DOI 10.1038/s41598-021-80998-y↗
- Paper CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging. DOI 10.1186/s12880-020-0418-1↗
- Paper Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. DOI 10.3389/frai.2020.550890↗
- Michael Jonathon Raphael · 1 shared paper, 2024 · strength 0.31
- Sean Bennett · 1 shared paper, 2024 · strength 0.31
- Matthew H. G. Katz · 1 shared paper, 2021 · strength 0.16
- Dimitrios Moris · 1 shared paper, 2021 · strength 0.16
- Eileen Mary O'Reilly · 1 shared paper, 2021 · strength 0.16
- Michail N. Mavros · 1 shared paper, 2021 · strength 0.16
- Timothy Michael Pawlik · 1 shared paper, 2021 · strength 0.16
- Kim M. Blakely · 1 shared paper, 2017 · strength 0.10
- Frances Catriona Wright · 1 shared paper, 2017 · strength 0.10
- Lesley Gotlib Conn · 1 shared paper, 2017 · strength 0.10
- Armin Eilaghi · 1 shared paper, 2017 · strength 0.07
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.