activity
20152026
most citedFederated Learning with Non-IID Data

1.9k citations · 2.1k across the 43 of their papers we have counts for

collaborators

44 papers

cs.CV2026

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Zhongying Deng, Cheng Tang, Ziyan Huang +124

Foundation models have demonstrated remarkable success across diverse domains and tasks, primarily due to the thrive of large-scale, diverse, and high-quality datasets. However, in…

eess.IV2023

Copy-Paste Image Augmentation with Poisson Image Editing for Ultrasound Instance Segmentation Learning

Wei-Hsiang Shen, Meng-Lin Li

Deep learning has shown great success in high-level image analysis problems; yet its efficacy relies on the quality and diversity of the training data. In this work, we introduce a…

eess.SP2023

Phase Aberration Correction with Adaptive Coherence-Weighted Point Spread Function Restoration Filtering Technique

Wei-Hsiang Shen, Yu-An Lin, Pai-Chi Li +1

Phase aberration is an inherent side effect of ultrasound imaging due to the speed of sound inhomogeneity nature of human tissues, resulting in focusing error and reduced image con…

cs.RO2023

Fast calibration for ultrasound imaging guidance based on depth camera

Fuqiang Zhao, Mingchang Li, Mengde Li +2

During the process of robot-assisted ultrasound(US) puncture, it is important to estimate the location of the puncture from the 2D US images. To this end, the calibration of the US…

cs.CL2023

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts

Ganesh Jawahar, Haichuan Yang, Yunyang Xiong +10

Weight-sharing supernets are crucial for performance estimation in cutting-edge neural architecture search (NAS) frameworks. Despite their ability to generate diverse subnetworks w…

cs.CV2023★ 1 cited

Frame-Event Alignment and Fusion Network for High Frame Rate Tracking

Jiqing Zhang, Yuanchen Wang, Wenxi Liu +4

Most existing RGB-based trackers target low frame rate benchmarks of around 30 frames per second. This setting restricts the tracker's functionality in the real world, especially f…