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20172026
most citedAutomated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative

24 citations · 53 across the 43 of their papers we have counts for

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22 papers · 1 filter

eess.IV2025

DEMIST: Decoupled Multi-stream latent diffusion for Quantitative Myelin Map Synthesis

Jiacheng Wang, Hao Li, Xing Yao +9

Quantitative magnetization transfer (qMT) imaging provides myelin-sensitive biomarkers, such as the pool size ratio (PSR), which is valuable for multiple sclerosis (MS) assessment.…

eess.IV2025

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023

Navodini Wijethilake, Reuben Dorent, Marina Ivory +38

The cross-Modality Domain Adaptation (crossMoDA) challenge series, initiated in 2021 in conjunction with the International Conference on Medical Image Computing and Computer Assist…

eess.IV2024

SynStitch: a Self-Supervised Learning Network for Ultrasound Image Stitching Using Synthetic Training Pairs and Indirect Supervision

Xing Yao, Runxuan Yu, Dewei Hu +10

Ultrasound (US) image stitching can expand the field-of-view (FOV) by combining multiple US images from varied probe positions. However, registering US images with only partially o…

eess.IV2024

PRISM Lite: A lightweight model for interactive 3D placenta segmentation in ultrasound

Hao Li, Baris Oguz, Gabriel Arenas +6

Placenta volume measured from 3D ultrasound (3DUS) images is an important tool for tracking the growth trajectory and is associated with pregnancy outcomes. Manual segmentation is…

eess.IV2024★ 7 cited

Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets

Hao Li, Han Liu, Heinrich von Busch +16

Our hypothesis is that UDA using diffusion-weighted images, generated with a unified model, offers a promising and reliable strategy for enhancing the performance of supervised lea…

eess.IV2024

Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging

Jiacheng Wang, Hao Li, Dewei Hu +4

We propose a novel framework for retinal feature point alignment, designed for learning cross-modality features to enhance matching and registration across multi-modality retinal i…