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 2021 · eess.IVShow all

4 papers · 2 filters

eess.IV2021★ 21 cited

A bone suppression model ensemble to improve COVID-19 detection in chest X-rays

Sivaramakrishnan Rajaraman, Gregg Cohen, Lillian Spear +2

Chest X-ray (CXR) is a widely performed radiology examination that helps to detect abnormalities in the tissues and organs in the thoracic cavity. Detecting pulmonary abnormalities…

eess.IV2021

End-to-end Ultrasound Frame to Volume Registration

Hengtao Guo, Xuanang Xu, Sheng Xu +2

Fusing intra-operative 2D transrectal ultrasound (TRUS) image with pre-operative 3D magnetic resonance (MR) volume to guide prostate biopsy can significantly increase the yield. Ho…

eess.IV2021★ 1.3k cited

The Medical Segmentation Decathlon

Michela Antonelli, Annika Reinke, Spyridon Bakas +55

International challenges have become the de facto standard for comparative assessment of image analysis algorithms given a specific task. Segmentation is so far the most widely inv…

eess.IV2021★ 3 cited

Chest X-Ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings

Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les Folio +2

Chest X-rays are the most commonly performed diagnostic examination to detect cardiopulmonary abnormalities. However, the presence of bony structures such as ribs and clavicles can…