Abhinav Jha, PhD

Medical School Department Biomedical Engineering
Research Program Oncologic Imaging
Abhinav Jha

Researcher Background

Primary Academic Title

Associate Professor of Biomedical Engineering, Division of Radiological Sciences, WashU Medicine

Education

  • 2013: PhD, University of Arizona, Tucson, AZ

Research & Selected Publications

Research Interest

Design of computational medical imaging methods with applications in cancer diagnosis and therapy

Research Publications

Nuclear Medicine AI in Action: The Bethesda Report (AI Summit 2024).
Authors:

Rahmim A, Bradshaw TJ, Davidzon G, one or more additional authors omitted Jha AK

Journal & Year:

J Nucl Med • 2026

Advances in SPECT and PET Reconstruction for Theranostics: From Diagnosis to Therapy.
Authors:

Enninful K, Ahmed F, Girod B, one or more additional authors omitted Jha AK

Journal & Year:

PET Clin • 2026

Progress in SPECT and PET Reconstruction for Theranostics: From Diagnosis to Therapy.
Authors:

Enninful K, Ahmed F, Girod B, one or more additional authors omitted Jha AK

Journal & Year:

ArXiv • 2025

Objective Task-Based Evaluation of Quantitative Medical Imaging Methods: Emerging Frameworks and Future Directions.
Authors:

Liu Y, Xia H, Obuchowski NA, one or more additional authors omitted Jha AK

Journal & Year:

PET Clin • 2025

Development and in silico imaging trial evaluation of a deep-learning-based transmission-less attenuation compensation method for DaT SPECT.
Authors:

Yu Z, Rahman MA, Li Z, one or more additional authors omitted Jha AK

Journal & Year:

Med Phys • 2025

Joint Regional Uptake Quantification of Thorium-227 and Radium-223 Using a Multiple-Energy-Window Projection-Domain Quantitative SPECT Method.
Authors:

Li Z, Benabdallah N, Laforest R, one or more additional authors omitted Jha AK

Journal & Year:

IEEE Trans Med Imaging • 2024

Joint regional uptake quantification of Thorium-227 and Radium-223 using a multiple-energy-window projection-domain quantitative SPECT method.
Authors:

Li Z, Benabdallah N, Laforest R, one or more additional authors omitted Jha AK

Journal & Year:

ArXiv • 2024

ISIT-QA: In Silico Imaging Trial to Evaluate a Low-Count Quantitative SPECT Method Across Multiple Scanner-Collimator Configurations for 223Ra-Based Radiopharmaceutical Therapies.
Authors:

Li Z, Benabdallah N, Luo J, one or more additional authors omitted Jha AK

Journal & Year:

J Nucl Med • 2024