activity
20212025
most citedOptimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems

1 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2025

A Language-Signal-Vision Multimodal Framework for Multitask Cardiac Analysis

Yuting Zhang, Tiantian Geng, Luoying Hao +9

Contemporary cardiovascular management involves complex consideration and integration of multimodal cardiac datasets, where each modality provides distinct but complementary physio…

cs.AI2025

CardAIc-Agents: A Multimodal Framework with Hierarchical Adaptation for Cardiac Care Support

Yuting Zhang, Karina V. Bunting, Asgher Champsi +8

Cardiovascular diseases (CVDs) remain the foremost cause of mortality worldwide, a burden worsened by a severe deficit of healthcare workers. Artificial intelligence (AI) agents ha…

cs.CV2025★ 1 cited

SACB-Net: Spatial-awareness Convolutions for Medical Image Registration

Xinxing Cheng, Tianyang Zhang, Wenqi Lu +3

Deep learning-based image registration methods have shown state-of-the-art performance and rapid inference speeds. Despite these advances, many existing approaches fall short in ca…

cs.CV2024

Development of Automated Neural Network Prediction for Echocardiographic Left ventricular Ejection Fraction

Yuting Zhang, Boyang Liu, Karina V. Bunting +11

The echocardiographic measurement of left ventricular ejection fraction (LVEF) is fundamental to the diagnosis and classification of patients with heart failure (HF). In order to q…

cs.CV2024

Decoder-Only Image Registration

Xi Jia, Wenqi Lu, Xinxing Cheng +1

In unsupervised medical image registration, the predominant approaches involve the utilization of a encoder-decoder network architecture, allowing for precise prediction of dense,…

math.OC2024★ 1 cited

Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems

Jintao Song, Wenqi Lu, Yunwen Lei +3

The Alternating Direction Method of Multipliers (ADMM) has gained significant attention across a broad spectrum of machine learning applications. Incorporating the over-relaxation…

eess.IV2021★ 1 cited

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Alessa Hering, Lasse Hansen, Tony C. W. Mok +50

Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medi…