TVnet: automated global analysis of tricuspid valve plane motion in CMR long-axis cines with residual neural networks for assessment of right ventricular function by Gonzales, RA, Lamy, J, Thomas, KE, Zhang, Q, Shanmuganathan, M, Heiberg, E, Ferreira, VM, Piechnik, SK, Peters, DC

TVnet: a deep-learning approach for enhanced right ventricular function analysis through tricuspid valve motion tracking by Gonzales, RA, Lamy, J, Thomas, KE, Yiu, K, Zhang, Q, Shanmuganathan, M, Heiberg, E, Ferreira, VM, Piechnik, SK, Peters, DC

Perivascular fat attenuation index mapping around the right and left coronary artery independently predict cardiac mortality by Kotanidis, CP, Oikonomou, EK, Marwan, M, Thomas, KE, Alashi, A, Antonopoulos, AS, Shirodaria, C, Neubauer, S, Channon, KM, Achenbach, S, Desai, MY, Antoniades, C

Deep learning for automated insertion point annotation of CMR T1 maps by Gonzales, RA, Manrique, AL, Burrage, MK, Thomas, KE, Altun, İ, Huang, W-M, Yun, C-H, Zhang, Q, Ferreira, VM, Piechnik, SK

A Compact Handheld Sensor Package with Sensor Fusion for Comprehensive and Robust 3D Mapping by Peng Wei, Kaiming Fu, Juan Villacres, Thomas Ke, Kay Krachenfels, Curtis Ryan Stofer, Nima Bayati, Qikai Gao, Bill Zhang, Eric Vanacker, Zhaodan Kong

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Improved cardiac risk stratification in individuals with high risk plaque features using the perivascular fat attenuation index on CCTA by Kotanidis, CP, Oikonomou, EK, Marwan, M, Kluener, L, Thomas, KE, Alashi, A, Antonopoulos, AS, Shirodaria, C, Neubauer, S, Channon, KM, Achenbach, S, Desai, MY, Antoniades, C

Pericoronary fat radiomic profile (FRP) predicts long-term cardiac risk in individuals with calcium score below 100 on coronary computed tomography angiography by Kotanidis, CP, Oikonomou, EK, Williams, MC, Thomas, S, Thomas, KE, Lyasheva, M, Antonopoulos, AS, Dweck, MR, Shirodaria, C, Neubauer, S, Channon, KM, Newby, DE, Antoniades, C

Exploring cardiovascular involvement in IgG4-related disease: a case series approach with cardiovascular magnetic resonance by Henry, JA, Xavier, R, Selvaraj, E, Burrage, M, Thomas, KE, Lukaschuk, E, Zhang, Q, Ferreira, VM, Piechnik, SK, Sabharwal, N, Neubauer, S, Rider, O, Culver, EL, Lewis, A

Effects of software on myocardial T1 measurements: a 3 T multicentre single vendor phantom study by Atkinson, D, Popescu, I, Thomas, KE, Yun, C-H, Werys, K, Burrage, MK, Greenwood, JP, Raman, B, Gonzales, RA, Kim, YJ, Sanchez Panchuelo, RM, Davies, NP, Chow, K, Neubauer, S, Piechnik, SK, Ferreira, VM

Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data by Biasiolli, L, Hann, E, Lukaschuk, E, Carapella, V, Paiva, JM, Aung, N, Rayner, JJ, Werys, K, Fung, K, Puchta, H, Sanghvi, MM, Moon, NO, Thomson, RJ, Thomas, KE, Robson, MD, Grau, V, Petersen, SE, Neubauer, S, Piechnik, SK

Quality control-driven image segmentation towards reliable automatic image analysis in large-scale cardiovascular magnetic resonance aortic cine imaging by Hann, E, Biasiolli, L, Zhang, Q, Popescu, IA, Werys, K, Lukaschuk, E, Carapella, V, Paiva, JM, Aung, N, Rayner, JJ, Fung, K, Puchta, H, Sanghvi, MM, Moon, NO, Thomas, KE, Ferreira, VM, Petersen, SE, Neubauer, S, Piechnik, SK

Artificial intelligence for contrast-free MRI: scar assessment in myocardial infarction using deep learning–based virtual native enhancement by Zhang, Q, Burrage, MK, Shanmuganathan, M, Gonzales, RA, Lukaschuk, E, Thomas, KE, Mills, R, Leal Pelado, J, Nikolaidou, C, Popescu, IA, Lee, YP, Zhang, X, Dharmakumar, R, Myerson, SG, Rider, O, Channon, KM, Neubauer, S, Piechnik, SK, Ferreira, VM

A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography by Oikonomou, EK, Williams, MC, Kotanidis, CP, Desai, MY, Marwan, MM, Antonopoulos, AS, Thomas, KE, Thomas, S, Akoumianakis, I, Fan, LM, Kesavan, S, Herdman, L, Alashi, A, Centeno, E, Lyasheva, M, Griffin, BP, Flamm, SD, Shirodaria, C, Sabharwal, N, Kelion, A, Dweck, MR, Van Beek, EJR, Deanfield, J, Hopewell, JC, Neubauer, S, Channon, KM, Achenbach, S, Newby, DE, Antoniades, C