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Abhinav K. Jha
ORCID
Publication Activity (10 Years)
Years Active: 2012-2023
Publications (10 Years): 12
Top Topics
Deep Learning
Optical Imaging
Myocardial Perfusion
Technological Challenges
Top Venues
CoRR
ISBI
IEEE Trans. Medical Imaging
Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging
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Publications
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Md Ashequr Rahman
,
Zitong Yu
,
Craig K. Abbey
,
Barry A. Siegel
,
Abhinav K. Jha
DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT.
CoRR
(2023)
Xiyao Jin
,
Yao Hao
,
Jessica Hilliard
,
Zhehao Zhang
,
Maria A. Thomas
,
Hua Li
,
Abhinav K. Jha
,
Geoffrey D. Hugo
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy.
CoRR
(2023)
Md Ashequr Rahman
,
Zitong Yu
,
Barry A. Siegel
,
Abhinav K. Jha
A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT.
CoRR
(2023)
Zitong Yu
,
Md Ashequr Rahman
,
Richard Laforest
,
Thomas H. Schindler
,
Robert J. Gropler
,
Richard L. Wahl
,
Barry A. Siegel
,
Abhinav K. Jha
Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT.
CoRR
(2023)
Md Ashequr Rahman
,
Zitong Yu
,
Abhinav K. Jha
Ideal-Observer Computation with Anthropomorphic Phantoms using Markov Chain Monte Carlo.
ISBI
(2022)
Arman Rahmim
,
Tyler J. Bradshaw
,
Irène Buvat
,
Joyita Dutta
,
Abhinav K. Jha
,
Paul E. Kinahan
,
Quanzheng Li
,
Chi Liu
,
Melissa D. McCradden
,
Babak Saboury
,
Eliot L. Siegel
,
John J. Sunderland
,
Richard L. Wahl
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022).
CoRR
(2022)
Zitong Yu
,
Md Ashequr Rahman
,
Abhinav K. Jha
Investigating the limited performance of a deep-learning-based SPECT denoising approach: An observer-study-based characterization.
CoRR
(2022)
Ziping Liu
,
Richard Laforest
,
Joyce Mhlanga
,
Hae Sol Moon
,
Tyler J. Fraum
,
Malak Itani
,
Aaron M. Mintz
,
Farrokh Dehdashti
,
Barry A. Siegel
,
Abhinav K. Jha
An estimation-based method to segment PET images.
CoRR
(2020)
Md Ashequr Rahman
,
Richard Laforest
,
Abhinav K. Jha
A List-Mode OSEM-Based Attenuation and Scatter Compensation Method for SPECT.
ISBI
(2020)
Junyu Chen
,
Abhinav K. Jha
,
Eric C. Frey
Incorporating CT prior information in the robust fuzzy C-means algorithm for QSPECT image segmentation.
Medical Imaging: Image Processing
(2019)
Abhinav K. Jha
,
Yansong Zhu
,
Dean F. Wong
,
Arman Rahmim
A radiative transfer equation-based image-reconstruction method incorporating boundary conditions for diffuse optical imaging.
Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging
(2017)
Xin Li
,
Abhinav K. Jha
,
Michael Ghaly
,
Fatma E. A. Elshahaby
,
Jonathan M. Links
,
Eric C. Frey
Use of Sub-Ensembles and Multi-Template Observers to Evaluate Detection Task Performance for Data That are Not Multivariate Normal.
IEEE Trans. Medical Imaging
36 (4) (2017)
Abhinav K. Jha
,
Jeffrey J. Rodriguez
A maximum-likelihood approach for ADC estimation of lesions in visceral organs.
SSIAI
(2012)