3 citations · 3 across the 3 of their papers we have counts for
3 papers
eess.IV2023
Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context
Rucha Deshpande, Muzaffer Özbey, Hua Li +2
Diffusion models have emerged as a popular family of deep generative models (DGMs). In the literature, it has been claimed that one class of diffusion models -- denoising diffusion…
eess.IV2022★ 3 cited
A novel adversarial learning strategy for medical image classification
Zong Fan, Xiaohui Zhang, Jacob A. Gasienica +7
Deep learning (DL) techniques have been extensively utilized for medical image classification. Most DL-based classification networks are generally structured hierarchically and opt…
eess.SP2021
A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods
Kaiyan Li, Weimin Zhou, Hua Li +1
The ideal observer (IO) sets an upper performance limit among all observers and has been advocated for assessing and optimizing imaging systems. For general joint detection and est…