M. Jorge Cardoso
M. Jorge Cardoso
Associate Professor (Senior Lecturer), King's College London
Verified email at kcl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations
CH Sudre, W Li, T Vercauteren, S Ourselin, MJ Cardoso
Deep learning in medical image analysis and multimodal learning for clinical …, 2017
6132017
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
4372018
Real-time tracking of self-reported symptoms to predict potential COVID-19
C Menni, AM Valdes, MB Freidin, CH Sudre, LH Nguyen, DA Drew, ...
Nature medicine 26 (7), 1037-1040, 2020
4192020
Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study
LH Nguyen, DA Drew, MS Graham, AD Joshi, CG Guo, W Ma, RS Mehta, ...
The Lancet Public Health 5 (9), e475-e483, 2020
4062020
Faciobrachial dystonic seizures: the influence of immunotherapy on seizure control and prevention of cognitive impairment in a broadening phenotype
SR Irani, CJ Stagg, JM Schott, CR Rosenthal, SA Schneider, P Pettingill, ...
Brain 136 (10), 3151-3162, 2013
3412013
NiftyNet: a deep-learning platform for medical imaging
E Gibson, W Li, C Sudre, L Fidon, DI Shakir, G Wang, Z Eaton-Rosen, ...
Computer methods and programs in biomedicine 158, 113-122, 2018
3352018
Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative (GENFI) study: a cross-sectional analysis
JD Rohrer, JM Nicholas, DM Cash, J van Swieten, E Dopper, L Jiskoot, ...
The Lancet Neurology 14 (3), 253-262, 2015
3302015
Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studies
N Burgos, MJ Cardoso, K Thielemans, M Modat, S Pedemonte, J Dickson, ...
IEEE transactions on medical imaging 33 (12), 2332-2341, 2014
2562014
Serum neurofilament light chain protein is a measure of disease intensity in frontotemporal dementia
JD Rohrer, IOC Woollacott, KM Dick, E Brotherhood, E Gordon, A Fellows, ...
Neurology 87 (13), 1329-1336, 2016
2332016
STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation
MJ Cardoso, K Leung, M Modat, S Keihaninejad, D Cash, J Barnes, ...
Medical image analysis 17 (6), 671-684, 2013
2312013
Geodesic information flows: spatially-variant graphs and their application to segmentation and fusion
MJ Cardoso, M Modat, R Wolz, A Melbourne, D Cash, D Rueckert, ...
IEEE transactions on medical imaging 34 (9), 1976-1988, 2015
2282015
Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment
J Young, M Modat, MJ Cardoso, A Mendelson, D Cash, S Ourselin, ...
NeuroImage: Clinical 2, 735-745, 2013
2152013
On the compactness, efficiency, and representation of 3D convolutional networks: brain parcellation as a pretext task
W Li, G Wang, L Fidon, S Ourselin, MJ Cardoso, T Vercauteren
International conference on information processing in medical imaging, 348-360, 2017
1792017
A comparison of voxel and surface based cortical thickness estimation methods
MJ Clarkson, MJ Cardoso, GR Ridgway, M Modat, KK Leung, JD Rohrer, ...
Neuroimage 57 (3), 856-865, 2011
1612011
Neurofilament light chain: a biomarker for genetic frontotemporal dementia
LH Meeter, EG Dopper, LC Jiskoot, R Sanchez‐Valle, C Graff, L Benussi, ...
Annals of clinical and translational neurology 3 (8), 623-636, 2016
1532016
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
AL Simpson, M Antonelli, S Bakas, M Bilello, K Farahani, B Van Ginneken, ...
arXiv preprint arXiv:1902.09063, 2019
1462019
Right ventricle segmentation from cardiac MRI: a collation study
C Petitjean, MA Zuluaga, W Bai, JN Dacher, D Grosgeorge, J Caudron, ...
Medical image analysis 19 (1), 187-202, 2015
1462015
Deep gray matter volume loss drives disability worsening in multiple sclerosis
A Eshaghi, F Prados, WJ Brownlee, DR Altmann, C Tur, MJ Cardoso, ...
Annals of neurology 83 (2), 210-222, 2018
1442018
Longitudinal multiple sclerosis lesion segmentation: resource and challenge
A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ...
NeuroImage 148, 77-102, 2017
1412017
A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients
CN Ladefoged, I Law, U Anazodo, KS Lawrence, D Izquierdo-Garcia, ...
Neuroimage 147, 346-359, 2017
1402017
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