Amir Alansary

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Daniel RueckertTechnical University of Munich and Imperial College LondonEmail confirmado em tum.de
Bernhard KainzImperial College London, FAU Erlangen-NürnbergEmail confirmado em imperial.ac.uk
Jo HajnalProfessor of Imaging Science, Kings College LondonEmail confirmado em kcl.ac.uk
Ben GlockerImperial College LondonEmail confirmado em imperial.ac.uk
Benjamin HouImperial College LondonEmail confirmado em imperial.ac.uk
Konstantinos KamnitsasAssociate Professor of Biomedical Imaging @ University of OxfordEmail confirmado em eng.ox.ac.uk
Mahmoud MostaphaSiemens HealthineersEmail confirmado em siemens-healthineers.com
Loic Le FolgocAssociate Professor, LTCI, Télécom Paris, FranceEmail confirmado em telecom-paris.fr
Ozan Oktaylmperial College LondonEmail confirmado em ic.ac.uk
Matthew SinclairResearch at HeartFlow, Inc. & Honorary Research Fellow at Imperial College LondonEmail confirmado em heartflow.com
Antonios MakropoulosComputer Vision researcherEmail confirmado em kcl.ac.uk
Emma C. RobinsonKings College LondonEmail confirmado em kcl.ac.uk
Luis Muñoz-GonzálezSenior Research Scientist, Telefónica ResearchEmail confirmado em telefonica.com
A David EdwardsProfessor of Paediatrics and Neonatal Medicine, King's College LondonEmail confirmado em kcl.ac.uk
Qiang MaImperial College LondonEmail confirmado em imperial.ac.uk
Maria Kuklisova Murgasova DeprezKing's College LondonEmail confirmado em kcl.ac.uk
Jacek M. ZuradaProfessor of Electrical and Computer Engineering, University of LouisvilleEmail confirmado em louisville.edu
Wenjia Bai (柏文佳)Senior Lecturer (Associate Professor), Imperial College LondonEmail confirmado em imperial.ac.uk
Bernhard PreimUniversity of MagdeburgEmail confirmado em isg.cs.uni-magdeburg.de
Julia A SchnabelTechnical University of Munich, Helmholtz Munich and King's College LondonEmail confirmado em tum.de

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Amir Alansary

Research Associate, Biomedical Image Analysis Group (BioMedIA), Imperial College London

Email confirmado em imperial.ac.uk - Página inicial

Medical Image Computing Medical Image Analysis Machine Learning Reinforcement Learning Deep


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MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans AM Mendrik, KL Vincken, HJ Kuijf, M Breeuwer, WH Bouvy, J De Bresser, ... Computational intelligence and neuroscience 2015 (1), 813696, 2015	293	2015
Evaluating reinforcement learning agents for anatomical landmark detection A Alansary, O Oktay, Y Li, L Le Folgoc, B Hou, G Vaillant, K Kamnitsas, ... Medical image analysis 53, 156-164, 2019	202	2019
The developing human connectome project neonatal data release AD Edwards, D Rueckert, SM Smith, S Abo Seada, A Alansary, J Almalbis, ... Frontiers in neuroscience 16, 886772, 2022	117	2022
Infant brain extraction in T1-weighted MR images using BET and refinement using LCDG and MGRF models A Alansary, M Ismail, A Soliman, F Khalifa, M Nitzken, A Elnakib, ... IEEE journal of biomedical and health informatics 20 (3), 925-935, 2015	104	2015
3-D reconstruction in canonical co-ordinate space from arbitrarily oriented 2-D images B Hou, B Khanal, A Alansary, S McDonagh, A Davidson, M Rutherford, ... IEEE transactions on medical imaging 37 (8), 1737-1750, 2018	97	2018
Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI A Alansary, K Kamnitsas, A Davidson, R Khlebnikov, M Rajchl, ... 19th International Conference on Medical Image Computing and Computer …, 2016	94	2016
Multiple landmark detection using multi-agent reinforcement learning A Vlontzos, A Alansary, K Kamnitsas, D Rueckert, B Kainz Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019	80	2019
Standard plane detection in 3d fetal ultrasound using an iterative transformation network Y Li, B Khanal, B Hou, A Alansary, JJ Cerrolaza, M Sinclair, J Matthew, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018	72	2018
Automatic view planning with multi-scale deep reinforcement learning agents A Alansary, LL Folgoc, G Vaillant, O Oktay, Y Li, W Bai, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	69	2018
Predicting slice-to-volume transformation in presence of arbitrary subject motion B Hou, A Alansary, S McDonagh, A Davidson, M Rutherford, JV Hajnal, ... Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017	69	2017
Computer-aided diagnosis systems for acute renal transplant rejection: Challenges and methodologies M Mostapha, F Khalifa, A Alansary, A Soliman, J Suri, AS El-Baz Abdomen and thoracic imaging: an engineering & clinical perspective, 1-35, 2013	65	2013
Robust aggregation for adaptive privacy preserving federated learning in healthcare M Grama, M Musat, L Muñoz-González, J Passerat-Palmbach, D Rueckert, ... arXiv preprint arXiv:2009.08294, 2020	59	2020
Context-sensitive super-resolution for fast fetal magnetic resonance imaging S McDonagh, B Hou, A Alansary, O Oktay, K Kamnitsas, M Rutherford, ... Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and …, 2017	57	2017
PVR: Patch-to-volume Reconstruction for large area motion correction of fetal MRI A Alansary, B Kainz, M Rajchl, M Murgasova, M Damodaram, DFA Lloyd, ... IEEE Transactions on Medical Imaging 36 (10), 2031 - 2044, 2017	56	2017
Fast multiple landmark localisation using a patch-based iterative network Y Li, A Alansary, JJ Cerrolaza, B Khanal, M Sinclair, J Matthew, C Gupta, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	48	2018
Cortexode: Learning cortical surface reconstruction by neural odes Q Ma, L Li, EC Robinson, B Kainz, D Rueckert, A Alansary IEEE Transactions on Medical Imaging 42 (2), 430-443, 2022	40	2022
A statistical framework for the classification of infant DT images M Mostapha, A Soliman, F Khalifa, A Elnakib, A Alansary, M Nitzken, ... 2014 IEEE International Conference on Image Processing (ICIP), 2222-2226, 2014	40	2014
PialNN: A fast deep learning framework for cortical pial surface reconstruction Q Ma, EC Robinson, B Kainz, D Rueckert, A Alansary Machine Learning in Clinical Neuroimaging: 4th International Workshop, MLCN …, 2021	38	2021
Computing CNN loss and gradients for pose estimation with Riemannian geometry B Hou, N Miolane, B Khanal, MCH Lee, A Alansary, S McDonagh, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	38	2018
Learning under distributed weak supervision M Rajchl, MCH Lee, F Schrans, A Davidson, J Passerat-Palmbach, ... arXiv preprint arXiv:1606.01100, 2016	36	2016

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