1. Automated deep learning quantification of epicardial adiposity on cardiac CT predicts atrial fibrillation risk immediately following cardiac surgery and long-term. (3rd October 2022) Authors: West, H; Siddique, M; Volpe, L; Desai, R; Lyasheva, M; Dangas, K; Tomlins, P; Mitchell, A; Kardos, A; Casadei, B; Channon, K; Antoniades, C Journal: European heart journal Issue: Volume 43(2022)Supplement 2 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Automated quantification of epicardial adipose tissue on CCTA via deep-learning detection of the pericardium: clinical implications. (14th October 2021) Authors: West, H W; Siddique, M; Volpe, L; Desai, R; Lyasheva, M; Dangas, K; Shirodaria, C; Neubauer, S; Channon, K; Desai, M Y; Newby, D E; Rodrigues, J C L; Adlam, D; Nicol, E D; Antoniades, C Journal: European heart journal Issue: Volume 42(2021)Supplement 1 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Pericoronary fat radiomic profile (FRP) predicts long-term cardiac risk in individuals with calcium score below 100 on coronary computed tomography angiography. (25th November 2020) Authors: Kotanidis, C.P; Oikonomou, E.K; Williams, M.C; Thomas, S; Thomas, K.E; Lyasheva, M; Antonopoulos, A.S; Dweck, M.R; Shirodaria, C; Neubauer, S; Channon, K.M; Newby, D.E; Antoniades, C Journal: European heart journal Issue: Volume 41:(2020)Supplement 2 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗