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Shengjia Chen

Windreich Department of Artificial Intelligence & Human Health

5 papers hereh-index 3155 citations13 works total

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

author position
  • first author2
  • middle author3

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

fields
  • eess.IV3
  • cs.CV1
  • q-bio.QM1
affiliations
  • Windreich Department of Artificial Intelligence & Human Health
  • Hasso Plattner Institute for Digital Health at Mount Sinai
same name
  • Shengjia Chen — 2 papers, h 1
  • Shengjia Chen — 2 papers, h 9

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 citedA Clinical Benchmark of Public Self-Supervised Pathology Foundation Models

7 citations · 16 across the 5 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2024★ 7 cited

A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models

Gabriele Campanella, Shengjia Chen, Ruchika Verma +10

The use of self-supervised learning (SSL) to train pathology foundation models has increased substantially in the past few years. Notably, several models trained on large quantitie…

eess.IV2024

MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging

Chaojie Zhang, Shengjia Chen, Ozkan Cigdem +4

A transformer-based deep learning model, MR-Transformer, was developed for total knee replacement (TKR) prediction using magnetic resonance imaging (MRI). The model incorporates th…

eess.IV2024★ 3 cited

Estimation of Time-to-Total Knee Replacement Surgery

Ozkan Cigdem, Shengjia Chen, Chaojie Zhang +3

A survival analysis model for predicting time-to-total knee replacement (TKR) was developed using features from medical images and clinical measurements. Supervised and self-superv…

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