5 citations · 6 across the 4 of their papers we have counts for
4 papers
Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification
Zhiwei Wang, Junlin Xian, Kangyi Liu +3
Mammogram image is important for breast cancer screening, and typically obtained in a dual-view form, i.e., cranio-caudal (CC) and mediolateral oblique (MLO), to provide complement…
Robust One-shot Segmentation of Brain Tissues via Image-aligned Style Transformation
Jinxin Lv, Xiaoyu Zeng, Sheng Wang +3
One-shot segmentation of brain tissues is typically a dual-model iterative learning: a registration model (reg-model) warps a carefully-labeled atlas onto unlabeled images to initi…
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…
Joint Progressive and Coarse-to-fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion
Jinxin Lv, Zhiwei Wang, Hongkuan Shi +4
Registration of brain MRI images requires to solve a deformation field, which is extremely difficult in aligning intricate brain tissues, e.g., subcortical nuclei, etc. Existing ef…