Garima Suman

Closest collaborators

The 16 strongest of 16 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

1. Ajit Harishkumar Goenka · 6 shared papers, 2020–2026 · strength 1.01
   • Paper Artificial Intelligence-Estimated Intrapancreatic Fat and Its Relationship to Familial and Germline Pancreatic Cancer R… DOI 10.1002/ueg2.70279↗
   • Paper Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating… DOI 10.1007/s00261-023-04127-1↗
   • Paper Convolutional neural network for the detection of pancreatic cancer on CT scans. DOI 10.1016/s2589-7500(20)30190-4↗
2. Shounak Majumder · 3 shared papers, 2022–2026 · strength 0.51
   • Paper Artificial Intelligence-Estimated Intrapancreatic Fat and Its Relationship to Familial and Germline Pancreatic Cancer R… DOI 10.1002/ueg2.70279↗
   • Paper Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-… DOI 10.1016/j.pan.2023.05.008↗
   • Paper Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Su… DOI 10.1053/j.gastro.2022.06.066↗
3. Sovanlal Mukherjee · 3 shared papers, 2022–2024 · strength 0.50
   • Paper Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating… DOI 10.1007/s00261-023-04127-1↗
   • Paper Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-… DOI 10.1016/j.pan.2023.05.008↗
   • Paper Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Su… DOI 10.1053/j.gastro.2022.06.066↗
4. Ananya Panda · 3 shared papers, 2020–2022 · strength 0.41
   • Paper Convolutional neural network for the detection of pancreatic cancer on CT scans. DOI 10.1016/s2589-7500(20)30190-4↗
   • Paper Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Su… DOI 10.1053/j.gastro.2022.06.066↗
   • Paper Borderline Resectable and Locally Advanced Pancreatic Cancer: FDG PET/MRI and CT Tumor Metrics for Assessment of Pathol… DOI 10.2214/ajr.20.24567↗
5. Aashna Karbhari · 2 shared papers, 2023–2024 · strength 0.37
   • Paper Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating… DOI 10.1007/s00261-023-04127-1↗
   • Paper Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-… DOI 10.1016/j.pan.2023.05.008↗
6. Hala Khasawneh · 2 shared papers, 2022–2023 · strength 0.28
   • Paper Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-… DOI 10.1016/j.pan.2023.05.008↗
   • Paper Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Su… DOI 10.1053/j.gastro.2022.06.066↗
7. Suresh T. Chari · 2 shared papers, 2022–2023 · strength 0.28
   • Paper Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-… DOI 10.1016/j.pan.2023.05.008↗
   • Paper Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Su… DOI 10.1053/j.gastro.2022.06.066↗
8. Thorvardur Ragnar Halfdanarson · 2 shared papers, 2021–2023 · strength 0.26
   • Paper Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-… DOI 10.1016/j.pan.2023.05.008↗
   • Paper Borderline Resectable and Locally Advanced Pancreatic Cancer: FDG PET/MRI and CT Tumor Metrics for Assessment of Pathol… DOI 10.2214/ajr.20.24567↗
9. Mark Joseph Truty · 2 shared papers, 2021–2023 · strength 0.26
   • Paper Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-… DOI 10.1016/j.pan.2023.05.008↗
   • Paper Borderline Resectable and Locally Advanced Pancreatic Cancer: FDG PET/MRI and CT Tumor Metrics for Assessment of Pathol… DOI 10.2214/ajr.20.24567↗
10. Laurens P. Janssens · 1 shared paper, 2026 · strength 0.24
    • Paper Artificial Intelligence-Estimated Intrapancreatic Fat and Its Relationship to Familial and Germline Pancreatic Cancer R… DOI 10.1002/ueg2.70279↗
11. Anup Kumar Mishra · 1 shared paper, 2026 · strength 0.24
    • Paper Artificial Intelligence-Estimated Intrapancreatic Fat and Its Relationship to Familial and Germline Pancreatic Cancer R… DOI 10.1002/ueg2.70279↗
12. Naoki Takahashi · 1 shared paper, 2026 · strength 0.24
    • Paper Artificial Intelligence-Estimated Intrapancreatic Fat and Its Relationship to Familial and Germline Pancreatic Cancer R… DOI 10.1002/ueg2.70279↗
13. Tom D. Konikoff · 1 shared paper, 2026 · strength 0.24
    • Paper Artificial Intelligence-Estimated Intrapancreatic Fat and Its Relationship to Familial and Germline Pancreatic Cancer R… DOI 10.1002/ueg2.70279↗
14. Ann L. Oberg · 1 shared paper, 2026 · strength 0.24
    • Paper Artificial Intelligence-Estimated Intrapancreatic Fat and Its Relationship to Familial and Germline Pancreatic Cancer R… DOI 10.1002/ueg2.70279↗
15. Kumaresan Sandrasegaran · 1 shared paper, 2023 · strength 0.14
    • Paper Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-… DOI 10.1016/j.pan.2023.05.008↗
16. Candice W. Bolan · 1 shared paper, 2023 · strength 0.14
    • Paper Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-… DOI 10.1016/j.pan.2023.05.008↗

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.