Search Results for author: Shengjia Chen

Found 3 papers, 1 papers with code

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

no code implementations5 May 2024 Chaojie Zhang, Shengjia Chen, Ozkan Cigdem, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz

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

Estimation of Time-to-Total Knee Replacement Surgery

no code implementations29 Apr 2024 Ozkan Cigdem, Shengjia Chen, Chaojie Zhang, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz

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

Survival Analysis

Prediction of drug effectiveness in rheumatoid arthritis patients based on machine learning algorithms

1 code implementation14 Oct 2022 Shengjia Chen, Nikunj Gupta, Woodward B. Galbraith, Valay Shah, Jacopo Cirrone

This study introduced a Drug Response Prediction (DRP) framework with two main goals: 1) design a data processing pipeline to extract information from tabular clinical data, and then preprocess it for functional use, and 2) predict RA patient's responses to drugs and evaluate classification models' performance.

Binary Classification Classification +1

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