no code implementations • 5 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).
no code implementations • 29 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.
no code implementations • 27 May 2019 • Bochen Guan, Jinnian Zhang, William A. Sethares, Richard Kijowski, Fang Liu
Often, these feature maps mimic natural photographs in the sense that their energy is concentrated in the spectral domain.
no code implementations • 8 Dec 2018 • Fang Liu, Lihua Chen, Richard Kijowski, Li Feng
The undersampled images are generated by a fixed undersampling pattern in the training, and the trained network is then applied to reconstruct new images acquired with the same pattern in the inference.