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ORCIDAbhinav K. Jha
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2020 – today
- 2024
[i8]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 abs/2406.01044 (2024)- 2023
- [c12]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. Image Perception, Observer Performance, and Technology Assessment 2023 - [c11]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. Image Perception, Observer Performance, and Technology Assessment 2023 - [c10]Md. Ashequr Rahman, Zitong Yu, Barry A. Siegel, Abhinav K. Jha:
A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT. Image Perception, Observer Performance, and Technology Assessment 2023 - [i7]Md. Ashequr Rahman, Zitong Yu, Barry A. Siegel, Abhinav K. Jha:
A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT. CoRR abs/2303.00212 (2023) - [i6]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 abs/2303.02110 (2023) - [i5]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 abs/2305.11715 (2023) - [i4]Md. Ashequr Rahman, Zitong Yu, Richard Laforest, Craig K. Abbey, Barry A. Siegel, Abhinav K. Jha:
DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT. CoRR abs/2306.04249 (2023) - 2022
- [c9]Md. Ashequr Rahman, Zitong Yu, Abhinav K. Jha:
Ideal-Observer Computation with Anthropomorphic Phantoms using Markov Chain Monte Carlo. ISBI 2022: 1-5 - [c8]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. Image Perception, Observer Performance, and Technology Assessment 2022 - [c7]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. Image Perception, Observer Performance, and Technology Assessment 2022 - [i3]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 abs/2203.01918 (2022) - [i2]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 abs/2211.03783 (2022) - 2021
- [c6]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. Image Perception, Observer Performance, and Technology Assessment 2021 - [c5]Md. Ashequr Rahman, Abhinav K. Jha:
Task-based assessment of binned and list-mode SPECT systems. Image Perception, Observer Performance, and Technology Assessment 2021 - 2020
- [c4]Md. Ashequr Rahman, Richard Laforest, Abhinav K. Jha:
A List-Mode OSEM-Based Attenuation and Scatter Compensation Method for SPECT. ISBI 2020: 646-650 - [i1]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:
An estimation-based method to segment PET images. CoRR abs/2003.00317 (2020)
2010 – 2019
- 2019
- [c3]Junyu Chen, Abhinav K. Jha, Eric C. Frey:
Incorporating CT prior information in the robust fuzzy C-means algorithm for QSPECT image segmentation. Image Processing 2019: 109491W - 2017
- [j1]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): 917-929 (2017) - [c2]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 1013705 - 2012
- [c1]Abhinav K. Jha, Jeffrey J. Rodriguez:
A maximum-likelihood approach for ADC estimation of lesions in visceral organs. SSIAI 2012: 21-24
Coauthor Index
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