Xinliu Zhong

A machine learning approach to conglomerate multi-domain features of cardiac aging

Glades H M Tan, Enyu Yang, Bryan Z Y Tan, Hane Naghshbandi et autres

Abstract Aims Owing to the breadth of complex and highly dimensional clinical data associated with ageing, integration of multiple health domains is needed towards determining cardiac outcomes of older adults. We designed a machine learning (ML) approach to conglomerate multi-domain data and …

sg, gb, us (code pays fourni par la source)

Orientation-Aware Diffusion Super-Resolution for 3T-Like Fetal MRI from Routine 1.5T Scans.

Xinliu Zhong, Ruiying Liu, Guohao Lin, Chuan Huang et autres

inhomogeneity limits wide adoption for routine fetal imaging. Consequently, most clinical examinations are performed at 1.5T, where greater motion tolerance comes at the cost of lower SNR, reduced gray-white matter contrast, and partial-volume blurring - factors that undermine downstream morphometric analysis. Bridging …

us (code pays fourni par la source)

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI

Xinliu Zhong, Ruiying Liu, Emily S. Nichols, Xuzhe Zhang et autres

us, ca (code pays fourni par la source)

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI

Xinliu Zhong, Ruiying Liu, Emily S. Nichols, Xuzhe Zhang et autres

Accurate placental segmentation is essential for quantitative analysis of the placenta. However, this task is particularly challenging in T2*-weighted placental imaging due to: (1) weak and inconsistent boundary contrast across individual echoes; (2) the absence of manual ground truth annotations for all …

Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification

Xinliu Zhong, Angela S. Koh, Yeo Si Yong

Traditional diagnostic methods like colonoscopy are invasive yet critical tools necessary for accurately diagnosing colorectal cancer (CRC). Detection of CRC at early stages is crucial for increasing patient survival rates. However, colonoscopy is dependent on obtaining adequate and high-quality endoscopic images. Prolonged …

sg (code pays fourni par la source)

Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination

Xinliu Zhong, Kayhan Batmanghelich, Li Sun

Vision-language models pre-trained on large scale of unlabeled biomedical images and associated reports learn generalizable semantic representations. These multi-modal representations can benefit various downstream tasks in the biomedical domain. Contrastive learning is widely used to pre-train vision-language models for general natural images …

sg, us (code pays fourni par la source)

Machine and Deep Learning Based Clinical Decision Making for Coronary Artery Disease and Chatbot Tool

Vincent Wei Jun Sim, Glades Tan, Xinliu Zhong, Terrance Chua et autres

Coronary Artery Disease (CAD) is a leading cause of cardiovascular disease. No dominating clinical feature determines how physicians make clinical decisions for patients with CAD. CAD clinical features are wide ranging, from symptoms, to risk factors, to kidney disease, to individualized factors …

sg (code pays fourni par la source)