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Generalized super-resolution 4D Flow MRI-using ensemble learning to extend across the cardiovascular system.
Ericsson L, Hjalmarsson A, Akbar MU, Ferdian E, Bonini M, Hardy B, Schollenberger J, Aristova M, Winter P, Burris N, Fyrdahl A, Sigfridsson A, Schnell S, Figueroa CA, Nordsletten D, Young AA, Marlevi D. Ericsson L, et al. Among authors: ferdian e. ArXiv [Preprint]. 2023 Nov 21:arXiv:2311.11819v2. ArXiv. 2023. PMID: 38045482 Free PMC article. Preprint.
Cerebrovascular super-resolution 4D Flow MRI - Sequential combination of resolution enhancement by deep learning and physics-informed image processing to non-invasively quantify intracranial velocity, flow, and relative pressure.
Ferdian E, Marlevi D, Schollenberger J, Aristova M, Edelman ER, Schnell S, Figueroa CA, Nordsletten DA, Young AA. Ferdian E, et al. Med Image Anal. 2023 Aug;88:102831. doi: 10.1016/j.media.2023.102831. Epub 2023 Apr 22. Med Image Anal. 2023. PMID: 37244143
MITEA: A dataset for machine learning segmentation of the left ventricle in 3D echocardiography using subject-specific labels from cardiac magnetic resonance imaging.
Zhao D, Ferdian E, Maso Talou GD, Quill GM, Gilbert K, Wang VY, Babarenda Gamage TP, Pedrosa J, D'hooge J, Sutton TM, Lowe BS, Legget ME, Ruygrok PN, Doughty RN, Camara O, Young AA, Nash MP. Zhao D, et al. Among authors: ferdian e. Front Cardiovasc Med. 2023 Jan 10;9:1016703. doi: 10.3389/fcvm.2022.1016703. eCollection 2022. Front Cardiovasc Med. 2023. PMID: 36704465 Free PMC article.