Richard Kijowski

According to our database, Richard Kijowski authored at least 9 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Progressive risk formulation for enhanced deep learning based total knee replacement prediction in knee osteoarthritis.

Haresh Rengaraj Rajamohan, Richard Kijowski, Kyunghyun Cho, Cem M. Deniz

Signal Image Video Process., October, 2025

Estimation of time-to-total knee replacement surgery with multimodal modeling and artificial intelligence.

Ozkan Cigdem, Eisa Hedayati, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Gregory Chang, Richard Kijowski, Cem M. Deniz

Comput. Biol. Medicine, 2025

2024

Modified Risk Formulation for Improving the Prediction of Knee Osteoarthritis Progression.

Haresh Rengaraj Rajamohan, Richard Kijowski, Kyunghyun Cho, Cem M. Deniz

CoRR, 2024

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

Chaojie Zhang, Shengjia Chen, Ozkan Cigdem, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz

CoRR, 2024

2021

Spectral Domain Convolutional Neural Network.

Bochen Guan, Jinnian Zhang, William A. Sethares, Richard Kijowski, Fang Liu

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

SpecNet: Spectral Domain Convolutional Neural Network.

Bochen Guan, Jinnian Zhang, William A. Sethares, Richard Kijowski, Fang Liu

CoRR, 2019

2018

SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction.

Fang Liu, Lihua Chen, Richard Kijowski, Li Feng

CoRR, 2018

MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR T2 mapping.

Fang Liu, Li Feng, Richard Kijowski

CoRR, 2018

2017

Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model.

Fang Liu, Julia V. Velikina, Walter F. Block, Richard Kijowski, Alexey A. Samsonov

IEEE Trans. Medical Imaging, 2017