4DFlowNet: super-resolution 4D flow MRI using deep learning and computational fluid dynamics E Ferdian, A Suinesiaputra, DJ Dubowitz, D Zhao, A Wang, B Cowan, ...
Frontiers in Physics 8, 138, 2020
91 2020 Fully automated myocardial strain estimation from cardiovascular MRI–tagged images using a deep learning framework in the UK Biobank E Ferdian, A Suinesiaputra, K Fung, N Aung, E Lukaschuk, A Barutcu, ...
Radiology: Cardiothoracic Imaging 2 (1), e190032, 2020
51 2020 Noninvasive quantification of cerebrovascular pressure changes using 4D flow MRI D Marlevi, J Schollenberger, M Aristova, E Ferdian, Y Ma, AA Young, ...
Magnetic Resonance in Medicine 86 (6), 3096-3110, 2021
17 2021 WSSNet: aortic wall shear stress estimation using deep learning on 4D flow MRI E Ferdian, DJ Dubowitz, CA Mauger, A Wang, AA Young
Frontiers in cardiovascular medicine 8, 1969, 2022
16 2022 Right ventricular flow vorticity relationships with biventricular shape in adult tetralogy of Fallot A Elsayed, CA Mauger, E Ferdian, K Gilbert, M Scadeng, CJ Occleshaw, ...
Frontiers in Cardiovascular Medicine 8, 806107, 2022
13 2022 Domain adaptation for automatic aorta segmentation of 4D flow magnetic resonance imaging data from multiple vendor scanners J Aviles, GDM Talou, O Camara, MM Córdova, XM Ferez, D Romero, ...
International Conference on Functional Imaging and Modeling of the Heart …, 2021
10 2021 Automated ventricular system segmentation in CT images of deformed brains due to ischemic and subarachnoid hemorrhagic stroke E Ferdian, AM Boers, LF Beenen, BM Cornelissen, IG Jansen, ...
International Workshop on Computational Methods for Molecular Imaging, 149-157, 2017
7 2017 Super-resolution 4D flow MRI to quantify aortic regurgitation using computational fluid dynamics and deep learning D Long, C McMurdo, E Ferdian, CA Mauger, D Marlevi, MP Nash, ...
The International Journal of Cardiovascular Imaging 39 (6), 1189-1202, 2023
6 2023 MITEA: A dataset for machine learning segmentation of the left ventricle in 3D echocardiography using subject-specific labels from cardiac magnetic resonance imaging D Zhao, E Ferdian, GD Maso Talou, GM Quill, K Gilbert, VY Wang, ...
Frontiers in Cardiovascular Medicine 9, 1016703, 2023
5 2023 Cerebrovascular super-resolution 4D flow MRI–using deep learning to non-invasively quantify velocity, flow, and relative pressure E Ferdian, D Marlevi, J Schollenberger, M Aristova, ER Edelman, ...
bioRxiv, 2021.08. 25.457611, 2021
5 2021 Penerapan Metode Latent Semantic Indexing Pada Search Engine E Ferdian, R Hadisaputra, N Madjid
Departement Teknik Informatika, Institut Teknologi Bandung, 2005
3 2005 Cerebrovascular super-resolution 4D flow MRI–sequential combination of resolution enhancement by deep learning and physics-informed image processing to non-invasively quantify … E Ferdian, D Marlevi, J Schollenberger, M Aristova, ER Edelman, ...
Medical Image Analysis 88, 102831, 2023
2 2023 Automatic segmentation of the aorta on multi-center and multi-vendor phase-contrast enhanced magnetic resonance angiographies and the advantages of transfer learning J Aviles, G Maso Talou, O Camara, M Mejia Cordova, E Ferdian, G Kat, ...
European Heart Journal-Cardiovascular Imaging 22 (Supplement_2), jeab090. 121, 2021
1 2021 Refining Human 3D Reconstruction from 2D Images MFM Akbar, B Purnama, E Ferdian
2023 3rd International Conference on Intelligent Cybernetics Technology …, 2023
2023 lGeneralized super-resolution 4D Flow MRI-using ensemble learning to extend across the cardiovascular system L Ericsson, A Hjalmarsson, MU Akbar, E Ferdian, M Bonini, B Hardy, ...
Arxiv, 2023
2023 DIFF 3: A Latent Diffusion Model for the Generation of Synthetic 3D Echocardiographic Images and Corresponding Labels E Ferdian, D Zhao, GDM Talou, GM Quill, ME Legget, RN Doughty, ...
International Workshop on Simulation and Synthesis in Medical Imaging, 129-140, 2023
2023 Leveraging CMR for 3D echocardiography: an annotated multimodality dataset for AI D Zhao, E Ferdian, GD Maso Talou, K Gilbert, GM Quill, VY Wang, ...
European Heart Journal-Cardiovascular Imaging 23 (Supplement_2), jeac141. 003, 2022
2022 Motion and Blood Flow Analysis of Cardiovascular Magnetic Resonance Imaging using Deep Learning E Ferdian
PhD Thesis-University of Auckland, 2022
2022 Non-invasive hemodynamic analysis for aortic regurgitation using computational fluid dynamics and deep learning D Long, C McMurdo, E Ferdian, CA Mauger, D Marlevi, AA Young, ...
arXiv preprint arXiv:2111.11660, 2021
2021 Flow vorticity relationships with right ventricular geometry in adult tetralogy of Fallot A Elsayed, C Mauger, E Ferdian, K Gilbert, M Scadeng, K Pushparajah, ...
European Heart Journal 42 (Supplement_1), ehab724. 0248, 2021
2021