9 citations · 47 across the 31 of their papers we have counts for
5 papers · 1 filter
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine -- The Bethesda Report (AI Summit 2022)
Arman Rahmim, Tyler J. Bradshaw, Irène Buvat +10
The SNMMI Artificial Intelligence (SNMMI-AI) Summit, organized by the SNMMI AI Task Force, took place in Bethesda, MD on March 21-22, 2022. It brought together various community me…
Ideal-observer computation with anthropomorphic phantoms using Markov Chain Monte Carlo
Md Ashequr Rahman, Zitong Yu, Abhinav K. Jha
In medical imaging, it is widely recognized that image quality should be objectively evaluated based on performance in clinical tasks. To evaluate performance in signal-detection t…
No-gold-standard evaluation of quantitative imaging methods in the presence of correlated noise
Ziping Liu, Zekun Li, Joyce C. Mhlanga +2
Objective evaluation of quantitative imaging (QI) methods with patient data is highly desirable, but is hindered by the lack or unreliability of an available gold standard. To addr…
Investigating the limited performance of a deep-learning-based SPECT denoising approach: An observer-study-based characterization
Zitong Yu, Md Ashequr Rahman, Abhinav K. Jha
Multiple objective assessment of image-quality-based studies have reported that several deep-learning-based denoising methods show limited performance on signal-detection tasks. Ou…
Linear scaling computation of forces for the domain-decomposition linear Poisson--Boltzmann method
Abhinav Jha, Michele Nottoli, Aleksandr Mikhalev +2
The Linearized Poisson--Boltzmann (LPB) equation is a popular and widely accepted model for accounting solvent effects in computational (bio-) chemistry. In the present article we…