◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jiongquan Chen

8 papers hereh-index 594 citations10 works total

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

author position
  • middle author8

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

fields
  • cs.CV5
  • eess.IV3

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedSegment Anything Model for Medical Images?

502 citations · 502 across the 6 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

A Foundation Model for General Moving Object Segmentation in Medical Images

Zhongnuo Yan, Tong Han, Yuhao Huang +7

Medical image segmentation aims to delineate the anatomical or pathological structures of interest, playing a crucial role in clinical diagnosis. A substantial amount of high-quali…

cs.CV2023

Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction

Mingyuan Luo, Xin Yang, Zhongnuo Yan +7

Ultrasound (US) imaging is a popular tool in clinical diagnosis, offering safety, repeatability, and real-time capabilities. Freehand 3D US is a technique that provides a deeper un…

cs.CV2023

Instructive Feature Enhancement for Dichotomous Medical Image Segmentation

Lian Liu, Han Zhou, Jiongquan Chen +5

Deep neural networks have been widely applied in dichotomous medical image segmentation (DMIS) of many anatomical structures in several modalities, achieving promising performance.…

eess.IV2023★ 502 cited

Segment Anything Model for Medical Images?

Yuhao Huang, Xin Yang, Lian Liu +16

The Segment Anything Model (SAM) is the first foundation model for general image segmentation. It has achieved impressive results on various natural image segmentation tasks. Howev…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.