Author

Ajith Antony

Observed names: Ajith Anthony, Antony, Ajith

Institutions: Mayo Clinic, The University of Texas MD Anderson Cancer Center, All India Institute of Medical Sciences

Observed institutions: Mayo Clinic, The University of Texas MD Anderson Cancer Center, All India Institute of Medical Sciences

ORCID: 0009-0008-2265-8758

Observed ORCID: 0009-0008-2265-8758

OpenAlex ID: A5113324765

Improving lung nodule segmentation in thoracic CT scans through the ensemble of 3D U-Net models

2024 · Himanshu Rikhari, Esha Baidya Kayal, et al. · International Journal of Computer Assisted Radiology and Surgery · 20

Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection

2025 · Sovanlal Mukherjee, Ajith Antony, et al. · Scientific Reports · 18

AI-Driven insights in pancreatic cancer imaging: from pre-diagnostic detection to prognostication

2024 · Ajith Antony, Sovanlal Mukherjee, et al. · Abdominal Radiology · 11

Next-generation AI for visually occult pancreatic cancer detection in a low-prevalence setting with longitudinal stability and multi-institutional generalisability

2026 · Sovanlal Mukherjee, Ajith Antony, et al. · Gut · 9

Artificial Intelligence-Augmented Imaging for Early Pancreatic Cancer Detection

2025 · Ajith Antony, Sovanlal Mukherjee, et al. · Visceral Medicine · 9

Interpretive consistency of a qualitative 68Ga-PSMA PET framework for treatment response assessment in hepatocellular carcinoma: a head-to-head comparison with cross-sectional imaging

2025 · Ajith Antony, Nguyen H. Tran, et al. · European Journal of Nuclear Medicine and Molecular Imaging · 3

Advancements and Challenges in Artificial Intelligence-Driven Diagnosis and Management of Pancreatic Cancer

2024 · Veeral M. Oza, Nitish Mittal, et al. · AI in Precision Oncology · 2

Lung Nodule Segmentation in CT Scans Using 3D U-Net Models with Inception and ResNet Architectures

2024 · Himanshu Rikhari, Esha Baidya Kayal, et al. · IEEE International Conference on Contemporary Computing and Communications (InC4) · 2

A Real-World Evaluation of Failure Detection for Liver CT Segmentation

2026 · Jeddy Bennett, McKell Woodland, et al. · Lecture notes in computer science · 1

Whole-Body MRI with Diffusion-Weighted Imaging: A Valuable Tool for Staging of Lung Cancer

2026 · Ajith Antony, S.H. Chandrashekhara, et al. · Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging

Label-Free Threshold Selection for Out-of-Distribution Detection in Liver CT Segmentation

2026 · Marshall Nielsen, Austin Castelo, et al. · medRxiv

Anatomically constrained deep learning for clinical-grade volumetric pancreatic cancer segmentation: development, validation, and architectural benchmarking

2026 · Sovanlal Mukherjee, Khurram Khaliq Bhinder, et al. · npj Precision Oncology

Abstract 2611: Prospective evaluation of 68Ga-PSMA PET imaging in advanced hepatocellular carcinoma patients undergoing first line immunotherapy.

2026 · Nguyen H. Tran, Jacob Hirdler, et al. · Cancer Research

Works count: 15

Citation count: 74

H-index: 5

I10-index: 3