Lecture Notes in Computer Science
Journal Abbreviation: LECT NOTES ARTIF INT
ISSN: 0302-9743
Publisher: Springer Verlag
Publications (1105)
Interactive multi-label segmentation of RGB-D images (2015)
Diebold J, Demmel N, Hazırbaş C, Moeller M, Cremers D
Conference contribution
Computer Vision – ACCV 2014: 12th Asian Conference on Computer Vision Singapore, Singapore, November 1–5, 2014 Revised Selected Papers, Part II (2015)
Cremers D, Reid I, Saito H, Yang MH
Conference contribution
q-space deep learning for twelve-fold shorter and model-free diffusion MRI scans (2015)
Golkov V, Dosovitskiy A, Saemann P, Sperl JI, Sprenger T, Czisch M, Menzel MI, et al.
Book chapter / Article in edited volumes
Manifold learning for cardiac modeling and estimation framework (2015)
Chabiniok R, Bhatia KK, King AP, Rueckert D, Smith N
Conference contribution
Construction of a 4D brain atlas and growth model using diffeomorphic registration (2015)
Schuh A, Murgasova M, Makropoulos A, Ledig C, Counsell SJ, Hajnal JV, Aljabar P, Rueckert D
Conference contribution
Identification of cerebral small vessel disease using multiple instance learning (2015)
Chen L, Tong T, Ho CP, Patel R, Cohen D, Dawson AC, Halse O, et al.
Book chapter / Article in edited volumes
Prediction of clinical information from cardiac MRI using manifold learning (2015)
Wang H, Shi W, Bai W, De Marvao AMSM, Dawes TJW, O'Regan DP, Edwards P, et al.
Conference contribution
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