King’s College London

University / College


Location: London, United Kingdom (GB) GB

ISNI: 0000000123226764

ROR: https://ror.org/0220mzb33

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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Abstract

Journal

In vivo MR-angiography for the assessment of aortic aneurysms in an experimental mouse model on a clinical MRI scanner: Comparison with high-frequency ultrasound and histology (2017) Jansen CHP, Reimann C, Brangsch J, Botnar RAM, Makowski MR Journal article Placenta maps: In utero placental health assessment of the human fetus (2017) Miao H, Mistelbauer G, Karimov A, Alansary A, Davidson A, Lloyd DFA, Damodaram M, et al. Journal article Molecular imaging of the extracellular matrix in the context of atherosclerosis (2017) Reimann C, Brangsch J, Colletini F, Walter T, Hamm B, Botnar RM, Makowski MR Journal article, Review article The soft mechanical signature of glial scars in the central nervous system (2017) Moeendarbary E, Weber IP, Sheridan GK, Koser DE, Soleman S, Haenzi B, Bradbury EJ, et al. Journal article DeepCut: Object Segmentation from Bounding Box Annotations Using Convolutional Neural Networks (2017) Rajchl M, Lee MCH, Oktay O, Kamnitsas K, Passerat-Palmbach J, Bai W, Damodaram M, et al. Journal article Solidarity in biomedicine and beyond (2017) Prainsack B, Buyx A Authored book Diabetes Mellitus–Induced Microvascular Destabilization in the Myocardium (2017) Hinkel R, Hoewe A, Renner S, Ng J, Lee S, Klett K, Kaczmarek V, et al. Journal article Hessian-assisted supervoxel: Structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes (2017) Oda H, Bhatia KK, Oda M, Kitasaka T, Iwano S, Homma H, Takabatake H, et al. Conference contribution TBS: Tensor-based supervoxels for unfolding the heart (2017) Oda H, Roth HR, Bhatia KK, Oda M, Kitasaka T, Akita T, Schnabel JA, Mori K Conference contribution Fast registration of 3D fetal ultrasound images using learned corresponding salient points (2017) Gomez A, Bhatia K, Tharin S, Housden J, Toussaint N, Schnabel JA Conference contribution