output
20082025
most citedThe Future of Digital Health with Federated Learning

3.1k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020 · cs.CVShow all

5 papers · 2 filters

cs.CV2020

Transducer Adaptive Ultrasound Volume Reconstruction

Hengtao Guo, Sheng Xu, Bradford J. Wood +1

Reconstructed 3D ultrasound volume provides more context information compared to a sequence of 2D scanning frames, which is desirable for various clinical applications such as ultr…

cs.CV2020★ 1.1k cited

A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises

S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos +6

Since its renaissance, deep learning has been widely used in various medical imaging tasks and has achieved remarkable success in many medical imaging applications, thereby propell…

cs.CV2020★ 1 cited

Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies

Leo K. Tam, Xiaosong Wang, Evrim Turkbey +3

Detecting clinically relevant objects in medical images is a challenge despite large datasets due to the lack of detailed labels. To address the label issue, we utilize the scene-l…

cs.CV2020★ 5 cited

Multi-Domain Image Completion for Random Missing Input Data

Liyue Shen, Wentao Zhu, Xiaosong Wang +9

Multi-domain data are widely leveraged in vision applications taking advantage of complementary information from different modalities, e.g., brain tumor segmentation from multi-par…

cs.CV2020★ 1 cited

Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning

Hengtao Guo, Sheng Xu, Bradford Wood +1

Transrectal ultrasound (US) is the most commonly used imaging modality to guide prostate biopsy and its 3D volume provides even richer context information. Current methods for 3D v…