Abhinav Jha, PhD

Academic 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 & Select Publications

Research Interest

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

Research Publications

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

DEMIST: A Deep-Learning-Based Detection-Task-Specific Denoising Approach for Myocardial Perfusion SPECT.
Authors:

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

Journal & Year:

IEEE Trans Radiat Plasma Med Sci • 2024

WIN-PDQ: A Wiener-estimator-based projection-domain quantitative SPECT method that accounts for intra-regional uptake heterogeneity.
Authors:

Li Z, Benabdallah N, Thorek DLJ, Jha AK

Journal & Year:

ArXiv • 2024

Need for Objective Task-Based Evaluation of Image Segmentation Algorithms for Quantitative PET: A Study with ACRIN 6668/RTOG 0235 Multicenter Clinical Trial Data.
Authors:

Liu Z, Mhlanga JC, Xia H, Siegel BA, Jha AK

Journal & Year:

J Nucl Med • 2024

WIN-PDQ: A Wiener-estimator-based projection-domain quantitative SPECT method that accounts for intra-regional uptake heterogeneity.
Authors:

Li Z, Benabdallah N, Thorek DLJ, Jha AK

Journal & Year:

Proc SPIE Int Soc Opt Eng • 2024

How accurately can quantitative imaging methods be ranked without ground truth: An upper bound on no-gold-standard evaluation.
Authors:

Liu Y, Jha AK

Journal & Year:

Proc SPIE Int Soc Opt Eng • 2024