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 2024 · eess.IVShow all

3 papers · 2 filters

eess.IV2024★ 16 cited

Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification

Benjamin Hou, Sung-Won Lee, Jung-Min Lee +4

Purpose: To evaluate the performance of an automated deep learning method in detecting ascites and subsequently quantifying its volume in patients with liver cirrhosis and ovarian…

eess.IV2024★ 7 cited

Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification

Ricardo Bigolin Lanfredi, Pritam Mukherjee, Ronald Summers

In chest X-ray (CXR) image analysis, rule-based systems are usually employed to extract labels from reports for dataset releases. However, there is still room for improvement in la…

eess.IV2024

Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks

Kimberly Helm, Tejas Sudharshan Mathai, Boah Kim +3

Multi-parametric MRI of the body is routinely acquired for the identification of abnormalities and diagnosis of diseases. However, a standard naming convention for the MRI protocol…