Hala Khasawneh

Closest collaborators

The 13 strongest of 13 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

1. Garima Suman · 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↗
2. Sovanlal Mukherjee · 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↗
3. 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↗
4. Shounak Majumder · 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↗
5. Ajit Harishkumar Goenka · 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↗
6. Natally de Souza Maciel Rocha Horvat · 1 shared paper, 2023 · strength 0.18
   • Paper CT Imaging Assessment of Pancreatic Adenocarcinoma Resectability after Neoadjuvant Therapy: Current Status and Perspect… DOI 10.3390/jcm12216821↗
7. Jayasree Chakraborty · 1 shared paper, 2023 · strength 0.18
   • Paper CT Imaging Assessment of Pancreatic Adenocarcinoma Resectability after Neoadjuvant Therapy: Current Status and Perspect… DOI 10.3390/jcm12216821↗
8. Thorvardur Ragnar Halfdanarson · 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↗
9. 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↗
10. 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↗
11. Aashna Karbhari · 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↗
12. Mark Joseph Truty · 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↗
13. Ananya Panda · 1 shared paper, 2022 · strength 0.13
    • 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↗

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.