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 2023Show all

5 papers · 1 filter

cs.CV2023★ 44 cited

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

Gregory Holste, Yiliang Zhou, Song Wang +22

Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more rela…

cs.CV2023★ 10 cited

How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Gregory Holste, Ziyu Jiang, Ajay Jaiswal +12

Pruning has emerged as a powerful technique for compressing deep neural networks, reducing memory usage and inference time without significantly affecting overall performance. Howe…

eess.IV2023★ 4 cited

Improving Segmentation and Detection of Lesions in CT Scans Using Intensity Distribution Supervision

Seung Yeon Shin, Thomas C. Shen, Ronald M. Summers

We propose a method to incorporate the intensity information of a target lesion on CT scans in training segmentation and detection networks. We first build an intensity-based lesio…

cs.CV2023★ 43 cited

Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering

Xinyue Hu, Lin Gu, Qiyuan An +6

To contribute to automating the medical vision-language model, we propose a novel Chest-Xray Difference Visual Question Answering (VQA) task. Given a pair of main and reference ima…

cs.CV2023★ 204 cited

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner +75

Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation int…