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Peng Zhang

4 papers hereh-index 426 citations11 works total

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

author position
  • first author2
  • middle author1
  • last author1

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

fields
  • cs.AI1
  • cs.LG1
  • cs.MM1
  • eess.IV1
same name
  • Peng Zhang — 27 papers, h 13
  • Peng Zhang — 26 papers, h 24
  • Peng Zhang — 17 papers, h 7
  • Peng Zhang — 13 papers, h 8
  • Peng Zhang — 12 papers, h 13
  • Peng Zhang — 11 papers, h 37

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 citedHybrid Deep Learning Framework for Enhanced Melanoma Detection

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AI2025

Ophiuchus: Incentivizing Tool-augmented "Think with Images" for Joint Medical Segmentation, Understanding and Reasoning

Yankai Jiang, Yujie Zhang, Peng Zhang +5

Recent medical MLLMs have made significant progress in generating step-by-step textual reasoning chains. However, they still struggle with complex clinical tasks that necessitate d…

cs.MM2025

Clinical Multi-modal Fusion with Heterogeneous Graph and Disease Correlation Learning for Multi-Disease Prediction

Yueheng Jiang, Peng Zhang

Multi-disease diagnosis using multi-modal data like electronic health records and medical imaging is a critical clinical task. Although existing deep learning methods have achieved…

cs.LG2025

Leveraging Geolocation in Clinical Records to Improve Alzheimer's Disease Diagnosis Using DMV Framework

Peng Zhang, Divya Chaudhary

Alzheimer's Disease (AD) early detection is critical for enabling timely intervention and improving patient outcomes. This paper presents a DMV framework using Llama3-70B and GPT-4…

eess.IV2024★ 1 cited

Hybrid Deep Learning Framework for Enhanced Melanoma Detection

Peng Zhang, Divya Chaudhary

Cancer is a leading cause of death worldwide, necessitating advancements in early detection and treatment technologies. In this paper, we present a novel and highly efficient melan…

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