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20212025
most citedDual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis

25 citations · 96 across the 27 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

physics.med-ph2023

Posterior Estimation for Dynamic PET imaging using Conditional Variational Inference

Xiaofeng Liu, Thibault Marin, Tiss Amal +3

This work aims efficiently estimating the posterior distribution of kinetic parameters for dynamic positron emission tomography (PET) imaging given a measurement of time of activit…

cs.SD2023

Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer

Xiaofeng Liu, Fangxu Xing, Maureen Stone +5

The tongue's intricate 3D structure, comprising localized functional units, plays a crucial role in the production of speech. When measured using tagged MRI, these functional units…

cs.CL2023★ 9 cited

Bias and Fairness in Chatbots: An Overview

Jintang Xue, Yun-Cheng Wang, Chengwei Wei +3

Chatbots have been studied for more than half a century. With the rapid development of natural language processing (NLP) technologies in recent years, chatbots using large language…

cs.CV2023

Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI

Xiaofeng Liu, Helen A. Shih, Fangxu Xing +3

Deep learning (DL) models for segmenting various anatomical structures have achieved great success via a static DL model that is trained in a single source domain. Yet, the static…

eess.IV2023

Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation

Xiaofeng Liu, Jerry L. Prince, Fangxu Xing +5

Self-training is an important class of unsupervised domain adaptation (UDA) approaches that are used to mitigate the problem of domain shift, when applying knowledge learned from a…

eess.IV2023★ 6 cited

Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET

Xiaofeng Liu, Thibault Marin, Tiss Amal +3

Background: In medical imaging, images are usually treated as deterministic, while their uncertainties are largely underexplored. Purpose: This work aims at using deep learning to…

eess.IV2023

Synthesizing audio from tongue motion during speech using tagged MRI via transformer

Xiaofeng Liu, Fangxu Xing, Jerry L. Prince +3

Investigating the relationship between internal tissue point motion of the tongue and oropharyngeal muscle deformation measured from tagged MRI and intelligible speech can aid in a…

eess.IV2023

Successive Subspace Learning for Cardiac Disease Classification with Two-phase Deformation Fields from Cine MRI

Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin +3

Cardiac cine magnetic resonance imaging (MRI) has been used to characterize cardiovascular diseases (CVD), often providing a noninvasive phenotyping tool.~While recently flourished…