Abhinav K. Jha

26 papers B 1Journal 14Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
A detection-task-specific deep-learning method to improve the quality of sparse-view myocardial perfusion SPECT images.
CoRR
Zezhang Yang, Zitong Yu, Nuri Choi, Abhinav K. Jha
2025 J jnl
CTLESS: A Scatter-Window Projection and Deep Learning-Based Transmission-Less Attenuation Compensation Method for Myocardial Perfusion SPECT.
IEEE Trans. Medical Imaging
Zitong Yu, Md. Ashequr Rahman, Craig K. Abbey, Richard Laforest, Nancy A. Obuchowski, Barry A. Siegel, Abhinav K. Jha
2025 J jnl
Emerging Frameworks for Objective Task-based Evaluation of Quantitative Medical Imaging Methods.
CoRR
Yan Liu, Huitian Xia, Nancy A. Obuchowski, Richard Laforest, Arman Rahmim, Barry A. Siegel, Abhinav K. Jha
2025 J jnl
What is Implementation Science; and Why It Matters for Bridging the Artificial Intelligence Innovation-to-Application Gap in Medical Imaging.
CoRR
Ahmad Fayaz-Bakhsh, Janice Tania, Syaheerah Lebai Lutfi, Abhinav K. Jha, Arman Rahmim
2024 J jnl
Joint Regional Uptake Quantification of Thorium-227 and Radium-223 Using a Multiple-Energy-Window Projection-Domain Quantitative SPECT Method.
IEEE Trans. Medical Imaging
Zekun Li, Nadia Benabdallah, Richard Laforest, Richard L. Wahl, Daniel L. J. Thorek, Abhinav K. Jha
2024 J jnl
Nuclear Medicine Artificial Intelligence in Action: The Bethesda Report (AI Summit 2024).
CoRR
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
2023 J jnl
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy.
CoRR
Xiyao Jin, Yao Hao, Jessica Hilliard, Zhehao Zhang, Maria A. Thomas, Hua Li, Abhinav K. Jha, Geoffrey D. Hugo
2023 — conf
A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT.
Image Perception, Observer Performance, and Technology Assessment
Md. Ashequr Rahman, Zitong Yu, Barry A. Siegel, Abhinav K. Jha
2023 J jnl
A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT.
CoRR
Md. Ashequr Rahman, Zitong Yu, Barry A. Siegel, Abhinav K. Jha
2023 J jnl
DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT.
CoRR
Md. Ashequr Rahman, Zitong Yu, Richard Laforest, Craig K. Abbey, Barry A. Siegel, Abhinav K. Jha
2023 J jnl
Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT.
CoRR
Zitong Yu, Md. Ashequr Rahman, Richard Laforest, Thomas H. Schindler, Robert J. Gropler, Richard L. Wahl, Barry A. Siegel, Abhinav K. Jha
2023 — conf
Need for objective task-based evaluation of AI-based segmentation methods for quantitative PET.
Image Perception, Observer Performance, and Technology Assessment
Ziping Liu, Joyce C. Mhlanga, Barry A. Siegel, Abhinav K. Jha
2023 — conf
Observer study-based evaluation of TGAN architecture used to generate oncological PET images.
Image Perception, Observer Performance, and Technology Assessment
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
2022 — conf
Ideal-Observer Computation with Anthropomorphic Phantoms using Markov Chain Monte Carlo.
ISBI
Md. Ashequr Rahman, Zitong Yu, Abhinav K. Jha
2022 J jnl
Investigating the limited performance of a deep-learning-based SPECT denoising approach: An observer-study-based characterization.
CoRR
Zitong Yu, Md. Ashequr Rahman, Abhinav K. Jha
2022 — conf
Investigating the limited performance of a deep-learning-based SPECT denoising approach: an observer-study-based characterization.
Image Perception, Observer Performance, and Technology Assessment
Zitong Yu, Md. Ashequr Rahman, Abhinav K. Jha
2022 J jnl
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022).
CoRR
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
2022 — conf
No-gold-standard evaluation of quantitative imaging methods in the presence of correlated noise.
Image Perception, Observer Performance, and Technology Assessment
Ziping Liu, Zekun Li, Joyce C. Mhlanga, Barry A. Siegel, Abhinav K. Jha
2021 — conf
Observer study-based evaluation of a stochastic and physics-based method to generate oncological PET images.
Image Perception, Observer Performance, and Technology Assessment
Ziping Liu, Richard Laforest, Joyce C. Mhlanga, Tyler J. Fraum, Malak Itani, Farrokh Dehdashti, Barry A. Siegel, Abhinav K. Jha
2021 — conf
Task-based assessment of binned and list-mode SPECT systems.
Image Perception, Observer Performance, and Technology Assessment
Md. Ashequr Rahman, Abhinav K. Jha
2020 — conf
A List-Mode OSEM-Based Attenuation and Scatter Compensation Method for SPECT.
ISBI
Md. Ashequr Rahman, Richard Laforest, Abhinav K. Jha
2020 J jnl
An estimation-based method to segment PET images.
CoRR
Ziping Liu, Richard Laforest, Joyce C. Mhlanga, Hae Sol Moon, Tyler J. Fraum, Malak Itani, Aaron M. Mintz, Farrokh Dehdashti, Barry A. Siegel, Abhinav K. Jha
2019 B conf
Incorporating CT prior information in the robust fuzzy C-means algorithm for QSPECT image segmentation.
Image Processing
Junyu Chen, Abhinav K. Jha, Eric C. Frey
2017 — conf
A radiative transfer equation-based image-reconstruction method incorporating boundary conditions for diffuse optical imaging.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Abhinav K. Jha, Yansong Zhu, Dean F. Wong, Arman Rahmim
2017 J jnl
Use of Sub-Ensembles and Multi-Template Observers to Evaluate Detection Task Performance for Data That are Not Multivariate Normal.
IEEE Trans. Medical Imaging
Xin Li, Abhinav K. Jha, Michael Ghaly, Fatma E. A. Elshahaby, Jonathan M. Links, Eric C. Frey
2012 — conf
A maximum-likelihood approach for ADC estimation of lesions in visceral organs.
SSIAI
Abhinav K. Jha, Jeffrey J. Rodriguez