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Jichen Yang

5 papers hereh-index 71.1k citations15 works total

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

author position
  • middle author4
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • cs.CV1
  • physics.flu-dyn1
same name
  • Jichen Yang — 9 papers, h 6
  • Jichen Yang — 8 papers, h 18
  • Jichen Yang — 8 papers, h 5
  • Jichen Yang — 2 papers, h 3
  • Jichen Yang — 1 paper, h 3
  • Jichen Yang — 1 paper

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
20212023
most citedSegment Anything Model for Medical Image Analysis: an Experimental Study

762 citations · 922 across the 4 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2022★ 134 cited

Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists

Albert Swiecicki, Nianyi Li, Jonathan O'Donnell +5

A fully-automated deep learning algorithm matched performance of radiologists in assessment of knee osteoarthritis severity in radiographs using the Kellgren-Lawrence grading syste…

eess.IV2022★ 20 cited

Deep Learning for Classification of Thyroid Nodules on Ultrasound: Validation on an Independent Dataset

Jingxi Weng, Benjamin Wildman-Tobriner, Mateusz Buda +7

Objectives: The purpose is to apply a previously validated deep learning algorithm to a new thyroid nodule ultrasound image dataset and compare its performances with radiologists.…

eess.IV2022

Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance

Hanxue Gu, Keyu Li, Roy J. Colglazier +10

The assessment of knee osteoarthritis (KOA) severity on knee X-rays is a central criteria for the use of total knee arthroplasty. However, this assessment suffers from imprecise st…

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