ResearcherCedars-Sinai Medical CenterActive in the last 2 years
Touseef Ahmad Qureshi
Matched on ORCID iD 0000-0002-8253-7308; OpenAlex author ID A5087255648; NIH RePORTER profile ID 16286103. Sources: OpenAlex.
Their work
- Papers
- 6 (first author 2, last author 0)
- Trials
- 0
- Grants
- 1
- Labs led
- 1
- Collaborators
- 19
2022: 3 papers · 2023: none · 2024: 1 paper · 2025: 2 papers · 2026: 1 grant
Papers 6
- Early Detection of Pancreatic Cancer: Current Advances and Future Opportunities. Co-author DOI 10.3390/biomedicines13071733↗
- Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic Duct in Pre-Diagnostic CT Scans. Co-author DOI 10.3390/cancers17111886↗
- An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images. First author DOI 10.3389/fonc.2024.1378691↗
- Artificial intelligence and imaging for risk prediction of pancreatic cancer: a narrative review. Co-author DOI 10.21037/cco-21-117↗
- Predicting pancreatic ductal adenocarcinoma using artificial intelligence analysis of pre-diagnostic computed tomography images. Co-author DOI 10.3233/cbm-210273↗
- Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images. First author DOI 10.3389/fonc.2022.1007990↗
Grants 1
Closest collaborators
The 19 strongest of 19 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Stephen Jacob Pandol · 6 shared papers, 2022–2025 · strength 1.16
- Paper Early Detection of Pancreatic Cancer: Current Advances and Future Opportunities. DOI 10.3390/biomedicines13071733↗
- Paper An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images. DOI 10.3389/fonc.2024.1378691↗
- Paper Artificial intelligence and imaging for risk prediction of pancreatic cancer: a narrative review. DOI 10.21037/cco-21-117↗
- Debiao Li · 5 shared papers, 2022–2025 · strength 1.02
- Paper Early Detection of Pancreatic Cancer: Current Advances and Future Opportunities. DOI 10.3390/biomedicines13071733↗
- Paper An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images. DOI 10.3389/fonc.2024.1378691↗
- Paper Artificial intelligence and imaging for risk prediction of pancreatic cancer: a narrative review. DOI 10.21037/cco-21-117↗
- Sehrish Javed · 4 shared papers, 2022–2025 · strength 0.76
- Paper An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images. DOI 10.3389/fonc.2024.1378691↗
- Paper Artificial intelligence and imaging for risk prediction of pancreatic cancer: a narrative review. DOI 10.21037/cco-21-117↗
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886↗
- Srinivas Gaddam · 4 shared papers, 2022–2025 · strength 0.70
- Paper An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images. DOI 10.3389/fonc.2024.1378691↗
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886↗
- Paper Predicting pancreatic ductal adenocarcinoma using artificial intelligence analysis of pre-diagnostic computed tomograph… DOI 10.3233/cbm-210273↗
- Lixia Wang · 3 shared papers, 2022–2025 · strength 0.56
- Paper An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images. DOI 10.3389/fonc.2024.1378691↗
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886↗
- Paper Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images. DOI 10.3389/fonc.2022.1007990↗
- Christie Y. Jeon · 2 shared papers, 2022–2025 · strength 0.32
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886↗
- Paper Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images. DOI 10.3389/fonc.2022.1007990↗
- Wansu Chen · 2 shared papers, 2022 · strength 0.28
- Zijin Lin · 1 shared paper, 2025 · strength 0.26
- Jun Gong · 1 shared paper, 2025 · strength 0.26
- Yi Jiang · 1 shared paper, 2025 · strength 0.26
- Vahid Yaghmai · 1 shared paper, 2025 · strength 0.18
- Temel Tirkes · 1 shared paper, 2025 · strength 0.18
- Camila Lopes Vendrami · 1 shared paper, 2025 · strength 0.18
- James Leonard Buxbaum · 1 shared paper, 2025 · strength 0.18
- Frank H. Miller · 1 shared paper, 2025 · strength 0.18
- Wolfram Goessling · 1 shared paper, 2025 · strength 0.18
- Yasmin Genevieve Hernandez-Barco · 1 shared paper, 2025 · strength 0.18
- Debiao Li · 1 shared paper, 2022 · strength 0.15
- Bechien U. Wu · 1 shared paper, 2022 · strength 0.15
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.