no code implementations • 16 Jan 2025 • Kaiyan Li, Prabhat KC, Hua Li, Kyle J. Myers, Mark A. Anastasio, Rongping Zeng
For computed imaging systems, the performance of the IO acting on imaging measurements also sets an upper bound on task-performance that no image reconstruction method can transcend.
no code implementations • 8 Mar 2024 • Ziqi Gao, Yue Zhang, Xinwen Liu, Kaiyan Li, S. Kevin Zhou
Multi-contrast (MC) Magnetic Resonance Imaging (MRI) reconstruction aims to incorporate a reference image of auxiliary modality to guide the reconstruction process of the target modality.
no code implementations • 6 Jan 2024 • Kaiyan Li, Jingyuan Yang, Wenxuan Liang, Xingde Li, Chenxi Zhang, Lulu Chen, Chan Wu, Xiao Zhang, Zhiyan Xu, Yuelin Wang, Lihui Meng, Yue Zhang, Youxin Chen, S. Kevin Zhou
Optical coherence tomography (OCT) is a noninvasive technology that enables real-time imaging of tissue microanatomies.
no code implementations • 11 Apr 2023 • Yue Zhang, Chengtao Peng, Qiuli Wang, Dan Song, Kaiyan Li, S. Kevin Zhou
Besides, we propose a Dynamic Feature Unification Module to integrate information from a varying number of available modalities, which enables the network to be robust to random missing modalities.
no code implementations • 23 Nov 2022 • Kaiyan Li, Hua Li, Mark A. Anastasio
The task-component was designed to measure the performance of a numerical observer (NO) on a signal detection task.
no code implementations • 22 Oct 2021 • Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
Specifically, a hybrid approach is developed that combines a multi-task convolutional neural network and a Markov-Chain Monte Carlo (MCMC) method in order to approximate the IO for detection-estimation tasks.
no code implementations • 28 Apr 2021 • Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
The performance of the ideal observer (IO) and common linear numerical observers are quantified and detection efficiencies are computed to assess the impact of the denoising operation on task performance.