ResearcherMount Sinai HospitalNo recent work listed
Farzad Khalvati
Matched on ORCID iD 0000-0001-5616-8660; OpenAlex author ID A5034208717. Sources: OpenAlex.
Their work
- Papers
- 7 (first author 1, last author 3)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 11
2017: 1 paper · 2018: none · 2019: 1 paper · 2020: 2 papers · 2021: 3 papers
Papers 7
- Prognostic value of early changes in CT-measured body composition in patients receiving chemotherapy for unresectable pancreatic cancer. Co-author DOI 10.1007/s00330-021-07899-6↗
- Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images. Last author DOI 10.1038/s41598-021-80998-y↗
- Validation of Prognostic Radiomic Features From Resectable Pancreatic Ductal Adenocarcinoma in Patients With Advanced Disease Undergoing Chemotherapy. First author DOI 10.1177/0846537120968782↗
- CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging. Last author DOI 10.1186/s12880-020-0418-1↗
- Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. Last 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↗
- CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis. Co-author DOI 10.1186/s12880-017-0209-5↗
Closest collaborators
The 11 strongest of 11 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Masoom A. Haider · 7 shared papers, 2017–2021 · strength 0.85
- 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 · 7 shared papers, 2017–2021 · strength 0.85
- 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↗
- Paul Jack Karanicolas · 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↗
- Emmanuel Salinas-Miranda · 2 shared papers, 2021 · strength 0.25
- Paper Prognostic value of early changes in CT-measured body composition in patients receiving chemotherapy for unresectable p… DOI 10.1007/s00330-021-07899-6↗
- Paper Validation of Prognostic Radiomic Features From Resectable Pancreatic Ductal Adenocarcinoma in Patients With Advanced D… DOI 10.1177/0846537120968782↗
- Grainne Mary O'Kane · 2 shared papers, 2021 · strength 0.25
- Paper Prognostic value of early changes in CT-measured body composition in patients receiving chemotherapy for unresectable p… DOI 10.1007/s00330-021-07899-6↗
- Paper Validation of Prognostic Radiomic Features From Resectable Pancreatic Ductal Adenocarcinoma in Patients With Advanced D… DOI 10.1177/0846537120968782↗
- Jennifer Jane Knox · 2 shared papers, 2021 · strength 0.25
- Paper Prognostic value of early changes in CT-measured body composition in patients receiving chemotherapy for unresectable p… DOI 10.1007/s00330-021-07899-6↗
- Paper Validation of Prognostic Radiomic Features From Resectable Pancreatic Ductal Adenocarcinoma in Patients With Advanced D… DOI 10.1177/0846537120968782↗
- Gerard M. Healy · 1 shared paper, 2021 · strength 0.12
- Vickie Elaine Baracos · 1 shared paper, 2021 · strength 0.12
- Oliver F. Bathe · 1 shared paper, 2021 · strength 0.12
- 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.