Pancreatic Cancer Research

ResearcherFred Hutch Cancer CenterActive in the last 2 years

Ajit Harishkumar Goenka

ORCID-verified (high confidence, 0.95), identity_conf@1As of 6 November 2026

Matched on ORCID iD 0000-0002-7804-2695; OpenAlex author ID A5077068545; NIH RePORTER profile ID 14811339. Sources: ClinicalTrials.gov.

Their work

Papers
22 (first author 1, last author 12)
Trials
1 (principal investigator on 1)
Grants
2
Labs led
1
Collaborators
109
Papers, trials and grants by year

2018: 1 paper · 2019: none · 2020: 3 papers · 2021: 2 papers · 2022: 2 papers · 2023: 3 papers · 2024: 3 papers · 2025: 4 papers, 1 grant · 2026: 4 papers, 1 trial, 1 grant

Papers 22

  1. Artificial Intelligence-Estimated Intrapancreatic Fat and Its Relationship to Familial and Germline Pancreatic Cancer Risk. Co-author DOI 10.1002/ueg2.70279↗
  2. Anatomically constrained deep learning for clinical-grade volumetric pancreatic cancer segmentation: development, validation, and architectural benchmarking. Last author DOI 10.1038/s41698-026-01587-8↗
  3. Next-generation AI for visually occult pancreatic cancer detection in a low-prevalence setting with longitudinal stability and multi-institutional generalisabi… Last author DOI 10.1136/gutjnl-2025-337266↗
  4. Pancreatic Cancer Screening and Early Detection: Where Are We Now? Co-author DOI 10.1148/rg.250146↗
  5. Best Practices for Delivering Neoadjuvant Therapy in Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1001/jamasurg.2024.5191↗
  6. Advancements in early detection of pancreatic cancer: the role of artificial intelligence and novel imaging techniques. Co-author DOI 10.1007/s00261-024-04644-7↗
  7. AI-Driven insights in pancreatic cancer imaging: from pre-diagnostic detection to prognostication. Last author DOI 10.1007/s00261-024-04775-x↗
  8. Artificial Intelligence-Augmented Imaging for Early Pancreatic Cancer Detection. Last author DOI 10.1159/000546603↗
  9. Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating resilience to variations in image acqui… Last author DOI 10.1007/s00261-023-04127-1↗
  10. Baseline Characteristics and Use of Pretherapeutic 18 F-Fluorodeoxyglucose-PET for Pancreatic Cancer. Co-author DOI 10.1097/xcs.0000000000001059↗
  11. Imaging for Early Detection of Pancreatic Ductal Adenocarcinoma: Updates and Challenges in the Implementation of Screening and Surveillance Programs. Last author DOI 10.2214/ajr.24.31151↗
  12. Postoperative surveillance of pancreatic ductal adenocarcinoma (PDAC) recurrence: practice pattern on standardized imaging and reporting from the society of ab… Co-author DOI 10.1007/s00261-022-03693-0↗
  13. Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-of-care CTs. Last author DOI 10.1016/j.pan.2023.05.008↗
  14. Gallium-68-labeled fibroblast activation protein inhibitor-46 PET in patients with resectable or borderline resectable pancreatic ductal adenocarcinoma: A phas… Last author DOI 10.1371/journal.pone.0294564↗
  15. Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diag… Last author DOI 10.1053/j.gastro.2022.06.066↗
  16. FDG-PET Predicts Neoadjuvant Therapy Response and Survival in Borderline Resectable/Locally Advanced Pancreatic Adenocarcinoma. First author DOI 10.6004/jnccn.2022.7041↗
  17. Factors Predicting Response, Perioperative Outcomes, and Survival Following Total Neoadjuvant Therapy for Borderline/Locally Advanced Pancreatic Cancer. Co-author DOI 10.1097/sla.0000000000003284↗
  18. Borderline Resectable and Locally Advanced Pancreatic Cancer: FDG PET/MRI and CT Tumor Metrics for Assessment of Pathologic Response to Neoadjuvant Therapy and… Last author DOI 10.2214/ajr.20.24567↗
  19. Therapeutic response assessment in pancreatic ductal adenocarcinoma: society of abdominal radiology review paper on the role of morphological and functional im… Co-author DOI 10.1007/s00261-020-02723-z↗
  20. Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: Stages of progression and potential benefits of early intervention: A retrospe… Co-author DOI 10.1016/j.pan.2020.07.410↗
  21. Convolutional neural network for the detection of pancreatic cancer on CT scans. Last author DOI 10.1016/s2589-7500(20)30190-4↗
  22. The Role of 18F-FDG PET/CT and PET/MRI in Pancreatic Ductal Adenocarcinoma. Last author DOI 10.1007/s00261-017-1374-2↗

Trials 1

  1. A Screening Program to Improve the Early Detection of Sporadic Pancreatic Cancer in Individuals With a High-Risk of Developing Pancreatic Cancer Principal investigator NCT07324096↗

Grants 2

  1. Optimizing Pancreatic Cancer Management with Next Generation Imaging and Liquid Biopsy R01CA256969↗
  2. Quantitative In Vivo 68Ga-Fibroblast-Activation-Protein-Inhibitors (FAPI)-46 PET Imaging of Cancer-Associated Fibroblasts (CAFs) in Pancreatic Ductal Adenocarc… R01CA272628↗

Closest collaborators

The 25 strongest of 109 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Zhen J. Wang · 5 shared papers, 1 shared grant, 2018–2026 · strength 1.88
  2. Sovanlal Mukherjee · 7 shared papers, 2022–2026 · strength 1.61
  3. Eric Andrew Collisson · 1 shared paper, 1 shared grant, 2025–2026 · strength 1.27
  4. Suresh T. Chari · 6 shared papers, 2020–2026 · strength 1.20
  5. Mark Joseph Truty · 7 shared papers, 2021–2026 · strength 1.13
  6. Avinash R. Kambadakone · 6 shared papers, 2020–2026 · strength 1.11
  7. Ajith Antony · 4 shared papers, 2025–2026 · strength 1.11
  8. Garima Suman · 6 shared papers, 2020–2026 · strength 1.01
  9. Aashna Karbhari · 5 shared papers, 2023–2026 · strength 1.01
  10. Elizabeth M. Hecht · 4 shared papers, 2023–2026 · strength 0.86
  11. Chenchan Huang · 3 shared papers, 2024–2026 · strength 0.74
  12. Shounak Majumder · 4 shared papers, 2020–2026 · strength 0.61
  13. Samuel Joseph Galgano · 3 shared papers, 2023–2025 · strength 0.57
  14. Rondell Patrell Graham · 3 shared papers, 2021–2026 · strength 0.50
  15. Thorvardur Ragnar Halfdanarson · 4 shared papers, 2021–2023 · strength 0.49
  16. Ananya Panda · 3 shared papers, 2020–2022 · strength 0.41
  17. Erik V. Soloff · 3 shared papers, 2020–2024 · strength 0.40
  18. Priya Bhosale · 3 shared papers, 2020–2024 · strength 0.40
  19. Linda Chi Hang Chu · 2 shared papers, 2023–2025 · strength 0.39
  20. Naoki Takahashi · 2 shared papers, 2020–2026 · strength 0.33
  21. Amro M. Abdelrahman · 2 shared papers, 2022–2024 · strength 0.33
  22. Michael Hayden Rosenthal · 2 shared papers, 2023–2024 · strength 0.30
  23. Ott Le · 2 shared papers, 2023–2024 · strength 0.30
  24. Lyndon Luk · 2 shared papers, 2023–2024 · strength 0.30
  25. Naveen M. Kulkarni · 2 shared papers, 2023–2024 · strength 0.30

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.