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K. Kyle

5 papers hereh-index 10316 citations31 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV2
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedMS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

eess.IV2023

Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training

Lei Bai, Dongang Wang, Michael Barnett +13

Accurately measuring the evolution of Multiple Sclerosis (MS) with magnetic resonance imaging (MRI) critically informs understanding of disease progression and helps to direct ther…

q-bio.QM2023

Learning from pseudo-labels: deep networks improve consistency in longitudinal brain volume estimation

Geng Zhan, Dongang Wang, Mariano Cabezas +5

Brain atrophy is an important biomarker for monitoring neurodegeneration and disease progression in conditions such as multiple sclerosis (MS). An accurate and robust quantitative…

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