Edward Ferdian

According to our database, Edward Ferdian authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Toward End-to-End Detection for Traffic Accidents from CCTV Footage.

Hilman Taris Muttaqin, Ema Rachmawati, Edward Ferdian

Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence, 2024

Defect Detection in Arabica Green Coffee Beans Based on Grade Quality.

Vania Amadea, Ema Rachmawati, Edward Ferdian, Muhammad Naufal Syawali Akbar

Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence, 2024

2023

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.

Edward Ferdian, David Marlevi, Jonas Schollenberger, Maria Aristova, Elazer R. Edelman, Susanne Schnell, C. Alberto Figueroa, David Nordsletten, Alistair A. Young

Medical Image Anal., August, 2023

Generalized super-resolution 4D Flow MRI - using ensemble learning to extend across the cardiovascular system.

Leon Ericsson, Adam Hjalmarsson, Muhammad Usman Akbar, Edward Ferdian, Mia Bonini, Brandon Hardy, Jonas Schollenberger, Maria Aristova, Patrick Winter, Nicholas S. Burris, Alexander Fyrdahl, Andreas Sigfridsson, Susanne Schnell, C. Alberto Figueroa, David Nordsletten, Alistair A. Young, David Marlevi

CoRR, 2023

DIFF·3: A Latent Diffusion Model for the Generation of Synthetic 3D Echocardiographic Images and Corresponding Labels.

Edward Ferdian, Debbie Zhao, Gonzalo D. Maso Talou, Gina M. Quill, Malcolm E. Legget, Robert N. Doughty, Martyn P. Nash, Alistair A. Young

Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

2021

Non-invasive hemodynamic analysis for aortic regurgitation using computational fluid dynamics and deep learning.

Derek Long, Cameron McMurdo, Edward Ferdian, Charlène Alice Mauger

CoRR, 2021

Domain Adaptation for Automatic Aorta Segmentation of 4D Flow Magnetic Resonance Imaging Data from Multiple Vendor Scanners.

Jordina Aviles, Gonzalo D. Maso Talou, Oscar Camara, Marcos Mejía Córdova, Xabier Morales Ferez, Daniel Romero, Edward Ferdian, Kathleen Gilbert, Ayah Elsayed, Alistair A. Young, Lydia Dux-Santoy, Aroa Ruiz-Muñoz, Gisela Teixido-Tura, Jose Rodriguez-Palomares, Andrea Guala

Proceedings of the Functional Imaging and Modeling of the Heart, 2021

2020

Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank.

Edward Ferdian, Avan Suinesiaputra, Kenneth Fung, Nay Aung, Elena Lukaschuk, Ahmet Barutcu, Edd Maclean, José Miguel Paiva, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alistair A. Young

CoRR, 2020

4DFlowNet: Super-Resolution 4D Flow MRI using Deep Learning and Computational Fluid Dynamics.

Edward Ferdian, Avan Suinesiaputra, David J. Dubowitz, Debbie Zhao, Alan Wang, Brett R. Cowan, Alistair A. Young

CoRR, 2020

2017

Automated Ventricular System Segmentation in CT Images of Deformed Brains Due to Ischemic and Subarachnoid Hemorrhagic Stroke.

Edward Ferdian, Anna M. M. Boers, Ludo F. M. Beenen, B. M. Cornelissen, Ivo G. H. Jansen, K. M. Treurniet, Jordi Borst, Charles B. L. M. Majoie, Henk A. Marquering

Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017