Abhinav K. Jha

Orcid: 0000-0002-4795-4878

According to our database1, Abhinav K. Jha authored at least 20 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Joint Regional Uptake Quantification of Thorium-227 and Radium-223 Using a Multiple-Energy-Window Projection-Domain Quantitative SPECT Method.
IEEE Trans. Medical Imaging, December, 2024

Nuclear Medicine Artificial Intelligence in Action: The Bethesda Report (AI Summit 2024).
CoRR, 2024

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
Task-based assessment of binned and list-mode SPECT systems.
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
An estimation-based method to segment PET images.
CoRR, 2020

A List-Mode OSEM-Based Attenuation and Scatter Compensation Method for SPECT.
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
A maximum-likelihood approach for ADC estimation of lesions in visceral organs.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2012


  Loading...