Khurram Khaliq Bhinder, Radiology Research Fellow at Mayo Clinic, shared a post on LinkedIn:
“New Publication is in npj Precision Oncology (Nature Portfolio, Impact Factor: 9.9):
‘Anatomically constrained deep learning for clinical-grade volumetric pancreatic cancer segmentation: development, validation, and architectural benchmarking.’
We built a pancreas-localized 3D CNN model for automated PDAC tumor segmentation, trained and validated on 1,859 multi-institutional CT scans.
Highlights:
- DSC of 0.76 — stable across scanners, sites, and slice thickness
- Outperformed a 3D vision transformer benchmark (p < 0.001)
- Matched expert-level agreement on tumor volume (CCC = 0.93)
First Author: Dr. Sovanlal Mukherjee
Second Author: Dr Khurram K. Bhinder
Lead Corresponding Author: Dr. Ajit Goenka
Title: Anatomically constrained deep learning for clinical-grade volumetric pancreatic cancer segmentation: development, validation, and architectural benchmarking
Authors: Sovanlal Mukherjee, Khurram Khaliq Bhinder, Armin Zarrintan, Ajith Antony, Angela Ammirabile, Ahmed Jadoon, Subhosree Dey, Baloy J. Talukdar, Takeru Yamaguchi, Rondell P. Graham, Suresh T. Chari, Ajit Harishkumar Goenka
Read the Full Article on npj Precision Oncology

The same team last month published in Gut journal (IF: 25.8) about their model called as REDMOD.
This model, REDMOD is an automated, mechanistically grounded, longitudinally stable, externally validated AI that surpasses radiologists for PDA detection at its visually occult pre- diagnostic stage.
Reported by over 80+ news outlets.
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First Author: Dr. Sovanlal Mukherjee
Lead Corresponding Author: Dr. Ajit Goenka
Team here: Sovanlal Mukherjee, Ajith Antony, Nandakumar G Patnam, Kamaxi H Trivedi, Aashna Karbhari, Khurram Khaliq Bhinder, Armin Zarrintan, Joel G Fletcher, Mark Truty, Matthew P Johnson, Suresh T Chari, Ajit Harishkumar Goenka
The same team, now published of its another model called as model BB that is shared initially in npj precision oncology.
This is a major development of early detection and use of AI in PDAC by team of Mayo Clinic, US, Rochester.
(Both article first author is Sovanlal Mukherjee and Corresponding lead author is Ajit Goenka).”
Other articles featuring Khurram Khaliq Bhinder on OncoDaily.