King’s College London

Non-rigid registration using free-form deformations (2015) Rueckert D, Aljabar P Authored book Learning a global descriptor of cardiac motion from a large cohort of 1000+ normal subjects (2015) Bai W, Peressutti D, Oktay O, Shi W, O'Regan DP, King AP, Rueckert D Conference contribution Structured decision forests for multi-modal ultrasound image registration (2015) Oktay O, Schuh A, Rajchl M, Keraudren K, Gomez A, Heinrich MP, Penney G, Rueckert D Conference contribution Fast reconstruction of accelerated dynamic MRI using manifold kernel regression (2015) Bhatia KK, Caballero J, Price AN, Sun Y, Hajnal JV, Rueckert D Conference contribution Prospective identification of CRT super responders using a motion atlas and random projection ensemble learning (2015) Peressutti D, Bai W, Jackson T, Sohal M, Rinaldi A, Rueckert D, King A Conference contribution Learning and combining image similarities for neonatal brain population studies (2015) Zimmer VA, Glocker B, Aljabar P, Counsell SJ, Rutherford MA, Edwards AD, Hajnal JV, et al. Conference contribution Probabilistic edge map (PEM) for 3D ultrasound image registration and multi-atlas left ventricle segmentation (2015) Oktay O, Gomez A, Keraudren K, Schuh A, Bai W, Shi W, Penney G, Rueckert D Conference contribution Self-aligning manifolds for matching disparate medical image datasets (2015) Baumgartner CF, Gomez A, Koch LM, Housden JR, Kolbitsch C, McClelland JR, Rueckert D, King AP Conference contribution Machine learning for the automatic localisation of foetal body parts in cine-MRI scans (2015) Bowles C, Nowlan NC, Hayat TTA, Malamateniou C, Rutherford M, Hajnal JV, Rueckert D, Kainz B Conference contribution Automated localization of fetal organs in MRI using random forests with steerable features (2015) Keraudren K, Kainz B, Oktay O, Kyriakopoulou V, Rutherford M, Hajnal JV, Rueckert D Conference contribution