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researcher

L. Nakayama

4 papers hereh-index 12431 citations40 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
  • cs.CL1
same name
  • L. Nakayama — 3 papers, h 2
  • L. Nakayama — 2 papers, h 3
  • L. Nakayama — 1 paper, h 3
  • L. Nakayama — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.LG2026

A Cloud-Edge System for Multimodal Clinical Screening in Resource-Constrained Rural Settings

Hei Ting, Chan, Chenwei Wu +8

Medical AI has demonstrated specialist-level diagnostic accuracy, yet these capabilities remain largely inaccessible in resource-constrained rural settings where bandwidth is scarc…

cs.LG2024

Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications

David Restrepo, Chenwei Wu, Sebastián Andrés Cajas +3

Large-scale multi-modal deep learning models have revolutionized domains such as healthcare, highlighting the importance of computational power. However, in resource-constrained re…

cs.AI2024

DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era

David Restrepo, Chenwei Wu, Constanza Vásquez-Venegas +3

In the big data era, integrating diverse data modalities poses significant challenges, particularly in complex fields like healthcare. This paper introduces a new process model for…

cs.CL2024

Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective

David Restrepo, Chenwei Wu, Constanza Vásquez-Venegas +5

The deployment of large language models (LLMs) in healthcare has demonstrated substantial potential for enhancing clinical decision-making, administrative efficiency, and patient o…

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