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Yuanhan Mo

4 papers here

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

author position
  • first author1
  • middle author3

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

fields
  • eess.IV3
  • cs.CV1
ORCID 0000-0001-7191-8896
same name
  • Yuanhan Mo — 7 papers, h 10

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 citedVertXNet: Automatic Segmentation and Identification of Lumbar and Cervical Vertebrae from Spinal X-ray Images

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

Multi-Task Cooperative Learning via Searching for Flat Minima

Fuping Wu, Le Zhang, Yang Sun +3

Multi-task learning (MTL) has shown great potential in medical image analysis, improving the generalizability of the learned features and the performance in individual tasks. Howev…

eess.IV2023

Towards Automatic Scoring of Spinal X-ray for Ankylosing Spondylitis

Yuanhan Mo, Yao Chen, Aimee Readie +3

Manually grading structural changes with the modified Stoke Ankylosing Spondylitis Spinal Score (mSASSS) on spinal X-ray imaging is costly and time-consuming due to bone shape comp…

eess.IV2023★ 1 cited

VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray

Yao Chen, Yuanhan Mo, Aimee Readie +5

Reliable vertebrae annotations are key to perform analysis of spinal X-ray images. However, obtaining annotation of vertebrae from those images is usually carried out manually due…

eess.IV2022★ 2 cited

VertXNet: Automatic Segmentation and Identification of Lumbar and Cervical Vertebrae from Spinal X-ray Images

Yao Chen, Yuanhan Mo, Aimee Readie +3

Manual annotation of vertebrae on spinal X-ray imaging is costly and time-consuming due to bone shape complexity and image quality variations. In this study, we address this challe…

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