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researcher

Matthew B. Schabath

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • eess.IV1
ORCID 0000-0003-3241-3216

identity via Semantic Scholar / OpenAlex

most citedPrivacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025

EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis

Aakash Tripathi, Asim Waqas, Matthew B. Schabath +2

Accurate cancer survival prediction requires integration of diverse data modalities that reflect the complex interplay between imaging, clinical parameters, and textual reports. Ho…

eess.IV2025

Reliable Radiologic Skeletal Muscle Area Assessment -- A Biomarker for Cancer Cachexia Diagnosis

Sabeen Ahmed, Nathan Parker, Margaret Park +8

Cancer cachexia is a common metabolic disorder characterized by severe muscle atrophy which is associated with poor prognosis and quality of life. Monitoring skeletal muscle area (…

cs.LG2024★ 2 cited

Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation

Nikolas Koutsoubis, Yasin Yilmaz, Ravi P. Ramachandran +2

Machine learning (ML) and Artificial Intelligence (AI) have fueled remarkable advancements, particularly in healthcare. Within medical imaging, ML models hold the promise of improv…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.