output
20132025
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 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 cs.LGShow all

3 papers · 1 filter

cs.LG2025★ 8 cited

Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment

Maria R. Lima, Alexander Capstick, Fatemeh Geranmayeh +4

Timely and accurate assessment of cognitive impairment remains a major unmet need. Speech biomarkers offer a scalable, non-invasive, cost-effective solution for automated screening…

cs.LG2022★ 390 cited

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards +276

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…

cs.LG2018★ 234 cited

Deep learning cardiac motion analysis for human survival prediction

Ghalib A. Bello, Timothy J. W. Dawes, Jinming Duan +8

Motion analysis is used in computer vision to understand the behaviour of moving objects in sequences of images. Optimising the interpretation of dynamic biological systems require…