| 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 | 90 | 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 | 15 | 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 |
| DIFF3: 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 |
