Linda Azab

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images”.

Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images

Frontiers in Oncology(2022)10.3389/fonc.2022.1007990

N/A

0DataRank · unranked

37 citations

Touseef Ahmad Qureshi, Srinivas Gaddam, Lixia Wang, Linda Azab, Ashley Wachsman +8 more

Morphology-guided deep learning framework for segmentation of pancreas in computed tomography images

Journal of Medical Imaging(2022)10.1117/1.jmi.9.2.024002

N/A

0DataRank · unranked

16 citations

Cody Lynch, Linda Azab, Yibin Xie, Srinavas Gaddam, Stepehen Jacob Pandol +2 more

An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images

Frontiers in Oncology(2024)10.3389/fonc.2024.1378691

N/A

0DataRank · unranked

7 citations

Touseef Ahmad Qureshi, Lixia Wang, Linda Azab, Srinivas Gaddam, Stephen J. Pandol +2 more

Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic Duct in Pre-Diagnostic CT Scans

Cancers(2025)10.3390/cancers17111886

N/A

0DataRank · unranked

2 citations

Yu Shi, Touseef Ahmad Qureshi, Yibin Xie, Srinivas Gaddam, Linda Azab +20 more