Patient-Specific Coronary Stenoses Can Be Modeled Using a Combination of OCT and Flow Velocities to Accurately Predict Hyperemic Pressure Gradients. - C. A. Kousera; Sukhjinder Nijjer; Ryo Torii; R. Petraco; S. Sen; N. Foin; Alun D. Hughes; Darrel P. Francis; X. Yun Xu; Justin E. Davies (IEEE Trans. Biomed. Eng., 2014)

A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning. - Wing Keung Cheung; Robert Bell; Arjun Nair; Leon J. Menezes; Riyaz Patel; Simon Wan; Kacy Chou; Jiahang Chen; Ryo Torii; Rhodri H. Davies; James C. Moon; Daniel C. Alexander; et al. (IEEE Access, 2021)

Dynamic Characterisation of Fibre-Optic Temperature Sensors for Physiological Monitoring. - Joanna M. Coote; Ryo Torii; Adrien E. Desjardins (Sensors, 2021)

A 3D deep learning classifier and its explainability when assessing coronary artery disease. - Wing Keung Cheung; Jeremy Kalindjian; Robert Bell; Arjun Nair; Leon J. Menezes; Riyaz Patel; Simon Wan; Kacy Chou; Jiahang Chen; Ryo Torii; Rhodri H. Davies; James C. Moon; et al. (CoRR, 2023)

POST-IVUS: A perceptual organisation-aware selective transformer framework for intravascular ultrasound segmentation. - Xingru Huang; Retesh Bajaj; Yilong Li; Xin Ye 006; Ji Lin 004; Francesca Pugliese; Anantharaman Ramasamy; Yue Gu; Yaqi Wang 002; Ryo Torii; Jouke Dijkstra; Huiyu Zhou 001; et al. (Medical Image Anal., 2023)