Dr. Abhinav Kumar Jha
Assistant Professor at Washington Univ in St Louis
SPIE Involvement:
Author
Area of Expertise:
Image Science , SPECT , PET , Task-based image quality evaluation , Imaging Physics , Machine learning
Websites:
Profile Summary

Professor Jha is an assistant professor with joint appointments in biomedical engineering and radiology and courtesy appointment in the Department of Electrical & Systems Engineering at Washington University. Previously, he was a faculty at Johns Hopkins University. Professor Jha obtained his PhD from the College of Optical Sciences, University of Arizona, where he was the valedictorian of his graduating batch. He is a recipient of the NSF CAREER, NIBIB Trailblazer, and NIH R01 awards. His research and teaching have also been recognized through several other awards such as the Young Investigator Symposium Award of Distinction for Translational Sciences at the ECOG-ACRIN meeting, Michael B. Merickel Best Student Paper award at SPIE Medical Imaging, Therapy Center for Excellence Young Investigator award, Imaging Innovator of the week of the Academy for Radiology and Biomedical Imaging, 30 Early Career Professionals to Watch of the Society of Nuclear Medicine and Molecular Imaging, and the Outstanding Teaching Associate Award. He is on the Board of Directors of the Physics, Instrumentation and Data Sciences Council of the Society of Nuclear Medicine and Molecular Imaging and a senior member of the IEEE.
Publications (23)

Proceedings Article | 7 April 2023 Presentation + Paper
Proceedings Volume 12463, 124631E (2023) https://doi.org/10.1117/12.2654500
KEYWORDS: Single photon emission computed tomography, Signal attenuation, Computed tomography, Image segmentation, Medical image reconstruction, Attenuation, Defect detection

Proceedings Article | 3 April 2023 Presentation + Paper
Proceedings Volume 12467, 124670R (2023) https://doi.org/10.1117/12.2647894
KEYWORDS: Image segmentation, Positron emission tomography, Artificial intelligence

Proceedings Article | 3 April 2023 Presentation + Paper
Proceedings Volume 12467, 124670S (2023) https://doi.org/10.1117/12.2652661
KEYWORDS: Positron emission tomography, Education and training, Cancer, Image segmentation, Tumors, Video, Artificial intelligence, Nuclear medicine, Medical imaging

Proceedings Article | 3 April 2023 Poster + Paper
Proceedings Volume 12467, 1246719 (2023) https://doi.org/10.1117/12.2655629
KEYWORDS: Denoising, Single photon emission computed tomography, Defect detection, Image processing, Image filtering, Visual system, Artificial intelligence, Deep learning

Proceedings Article | 4 April 2022 Presentation + Paper
Proceedings Volume 12031, 120311F (2022) https://doi.org/10.1117/12.2612729
KEYWORDS: Positron emission tomography, Photons, Tumors, Data modeling, Signal to noise ratio, Liver, Denoising, Reconstruction algorithms, Image quality, Visualization, Image denoising

Showing 5 of 23 publications
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