Search Results for author: Cem M. Deniz

Found 6 papers, 2 papers with code

HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis

1 code implementation16 Nov 2024 Haoxu Huang, Cem M. Deniz, Kyunghyun Cho, Sumit Chopra, Divyam Madaan

Chest X-ray imaging is a widely accessible and non-invasive diagnostic tool for detecting thoracic abnormalities.

Decision Making

Modified Risk Formulation for Improving the Prediction of Knee Osteoarthritis Progression

no code implementations14 Jun 2024 Haresh Rengaraj Rajamohan, Richard Kijowski, Kyunghyun Cho, Cem M. Deniz

The novel RiskFORM2 method, leveraging a dual model risk constraint architecture, demonstrated superior performance, yielding an AUROC of 0. 87 and AUPRC of 0. 47 for 1 year TKR prediction on the OAI radiograph test set, a marked improvement over the 0. 79 AUROC and 0. 34 AUPRC of the baseline approach.

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).

Deep Learning

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.

Deep Learning Survival Analysis

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