Abhinav K. Jha

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 20

Top Topics

Optical Imaging

Myocardial Perfusion

Top Venues

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

IEEE Trans. Medical Imaging

Publications

Arman Rahmim, Tyler J. Bradshaw, Guido Davidzon, Joyita Dutta, Georges El Fakhri, Munir Ghesani, Nicolas A. Karakatsanis, Quanzheng Li, Chi Liu, Emilie Roncali, Babak Saboury, Tahir Yusufaly, Abhinav K. Jha
Nuclear Medicine Artificial Intelligence in Action: The Bethesda Report (AI Summit 2024). CoRR (2024)
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)
Roberto Fedrigo, Fereshteh Yousefirizi, Ziping Liu, Abhinav K. Jha, Robert V. Bergen, Jean-François Rajotte, Raymond T. Ng, Ingrid Bloise, Sara Harsini, Dan J. Kadrmas, Carlos F. Uribe, Arman Rahmim
Observer study-based evaluation of TGAN architecture used to generate oncological PET images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Md. Ashequr Rahman, Zitong Yu, Barry A. Siegel, Abhinav K. Jha
A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (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)
Ziping Liu, Joyce C. Mhlanga, Barry A. Siegel, Abhinav K. Jha
Need for objective task-based evaluation of AI-based segmentation methods for quantitative PET. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (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. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (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, Zekun Li, Joyce C. Mhlanga, Barry A. Siegel, Abhinav K. Jha
No-gold-standard evaluation of quantitative imaging methods in the presence of correlated noise. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Ziping Liu, Richard Laforest, Joyce C. Mhlanga, Tyler J. Fraum, Malak Itani, Farrokh Dehdashti, Barry A. Siegel, Abhinav K. Jha
Observer study-based evaluation of a stochastic and physics-based method to generate oncological PET images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Md. Ashequr Rahman, Abhinav K. Jha
Task-based assessment of binned and list-mode SPECT systems. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
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)