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Rong Zhou

8 papers hereh-index 6152 citations13 works total

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

author position
  • first author2
  • middle author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV2
  • cs.LG1
  • physics.optics1
same name
  • Rong Zhou — 10 papers, h 7
  • Rong Zhou — 9 papers, h 2
  • Rong Zhou — 5 papers, h 4
  • Rong Zhou — 4 papers
  • Rong Zhou — 4 papers, h 7
  • Rong Zhou — 4 papers, h 2

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

activity
20232026
most citedMultimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V

33 citations · 39 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Adaptive Clinical-Aware Latent Diffusion for Multimodal Brain Image Generation and Missing Modality Imputation

Rong Zhou, Houliang Zhou, Yao Su +4

Multimodal neuroimaging provides complementary insights for Alzheimer's disease diagnosis, yet clinical datasets frequently suffer from missing modalities. We propose ACADiff, a fr…

cs.CV2024★ 4 cited

Biomedical SAM 2: Segment Anything in Biomedical Images and Videos

Zhiling Yan, Weixiang Sun, Rong Zhou +8

Medical image segmentation and video object segmentation are essential for diagnosing and analyzing diseases by identifying and measuring biological structures. Recent advances in…

cs.CV2024

ViT-1.58b: Mobile Vision Transformers in the 1-bit Era

Zhengqing Yuan, Rong Zhou, Hongyi Wang +3

Vision Transformers (ViTs) have achieved remarkable performance in various image classification tasks by leveraging the attention mechanism to process image patches as tokens. Howe…

cs.CV2023★ 33 cited

Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V

Zhiling Yan, Kai Zhang, Rong Zhou +3

In this paper, we critically evaluate the capabilities of the state-of-the-art multimodal large language model, i.e., GPT-4 with Vision (GPT-4V), on Visual Question Answering (VQA)…

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