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Xiang Li

4 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.CV1
  • eess.IV1
  • q-bio.NC1
same name
  • Xiang Li — 39 papers
  • Xiang Li — 26 papers
  • Xiang Li — 22 papers, h 21
  • Xiang Li — 13 papers, h 17
  • Xiang Li — 12 papers
  • Xiang Li — 9 papers

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

most citedTumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching

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

collaborators

4 papers

q-bio.NC2025

Age Sensitive Hippocampal Functional Connectivity: New Insights from 3D CNNs and Saliency Mapping

Yifei Sun, Marshall A. Dalton, Robert D. Sanders +5

Grey matter loss in the hippocampus is a hallmark of neurobiological aging, yet understanding the corresponding changes in its functional connectivity remains limited. Seed-based f…

cs.CV2025★ 1 cited

RadFabric: Agentic AI System with Reasoning Capability for Radiology

Wenting Chen, Yi Dong, Zhaojun Ding +14

Chest X ray (CXR) imaging remains a critical diagnostic tool for thoracic conditions, but current automated systems face limitations in pathology coverage, diagnostic accuracy, and…

eess.IV2025★ 1 cited

TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching

Shengyuan Liu, Wenting Chen, Boyun Zheng +3

Tumor data synthesis offers a promising solution to the shortage of annotated medical datasets. However, current approaches either limit tumor diversity by using predefined masks o…

cs.CL2025

A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Wenxuan Wang, Zizhan Ma, Zheng Wang +5

Large Language Models (LLMs) are transforming healthcare through the development of LLM-based agents that can understand, reason about, and assist with medical tasks. This survey p…

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