Abhinav K. Jha
Orcid: 0000-0002-4795-4878
According to our database1,
Abhinav K. Jha
authored at least 18 papers
between 2012 and 2023.
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Bibliography
2023
DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT.
CoRR, 2023
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy.
CoRR, 2023
Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT.
CoRR, 2023
A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Need for objective task-based evaluation of AI-based segmentation methods for quantitative PET.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Observer study-based evaluation of TGAN architecture used to generate oncological PET images.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
2022
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022).
CoRR, 2022
Investigating the limited performance of a deep-learning-based SPECT denoising approach: an observer-study-based characterization.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
No-gold-standard evaluation of quantitative imaging methods in the presence of correlated noise.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Ideal-Observer Computation with Anthropomorphic Phantoms using Markov Chain Monte Carlo.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Proceedings of the Medical Imaging 2021: Image Perception, 2021
Observer study-based evaluation of a stochastic and physics-based method to generate oncological PET images.
Proceedings of the Medical Imaging 2021: Image Perception, 2021
2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Incorporating CT prior information in the robust fuzzy C-means algorithm for QSPECT image segmentation.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
2017
Use of Sub-Ensembles and Multi-Template Observers to Evaluate Detection Task Performance for Data That are Not Multivariate Normal.
IEEE Trans. Medical Imaging, 2017
A radiative transfer equation-based image-reconstruction method incorporating boundary conditions for diffuse optical imaging.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
2012
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2012