Fernando Vega - RankMe

16 papers Journal 9Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters. CoRR Abdoljalil Addeh, Fernando Vega, Rebecca J. Williams, G. Bruce Pike, M. Ethan MacDonald
2024	—	`conf`	Radiation Dose Reduction in Computed Tomography Perfusion of Acute Ischemic Stroke Patients Using a Denoising Autoencoder. ISBI Pattarawut Charatpangoon, Pauline Delannoy, Connor McDougall, Fernando Vega, Aashka Mohite, Philip Barber, Bijoy K. Menon, Aravind Ganesh, M. Ethan MacDonald
2024	J	`jnl`	Social influence dynamics for image segmentation: a novel pixel interaction approach. J. Comput. Soc. Sci. Erik Cuevas, Alberto Luque, Fernando Vega, Daniel Zaldivar, Jesús López
2024	J	`jnl`	Three-Dimensional Amyloid-Beta PET Synthesis from Structural MRI with Conditional Generative Adversarial Networks. CoRR Fernando Vega, Abdoljalil Addeh, M. Ethan MacDonald
2024	—	`conf`	Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow. MICCAI (10) Marvin Tom Teichmann, Manasi Datar, Lisa Kratzke, Fernando Vega, Florin C. Ghesu
2024	J	`jnl`	Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow. CoRR Marvin Tom Teichmann, Manasi Datar, Lisa Kratzke, Fernando Vega, Florin C. Ghesu
2023	J	`jnl`	A voxel-level approach to brain age prediction: A method to assess regional brain aging. CoRR Neha Gianchandani, Mahsa Dibaji, Johanna Ospel, Fernando Vega, Mariana P. Bento, M. Ethan MacDonald, Roberto Souza
2023	J	`jnl`	Amyloid-Beta Axial Plane PET Synthesis from Structural MRI: An Image Translation Approach for Screening Alzheimer's Disease. CoRR Fernando Vega, Abdoljalil Addeh, M. Ethan MacDonald
2023	J	`jnl`	Denoising Simulated Low-Field MRI (70mT) using Denoising Autoencoders (DAE) and Cycle-Consistent Generative Adversarial Networks (Cycle-GAN). CoRR Fernando Vega, Abdoljalil Addeh, M. Ethan MacDonald
2023	J	`jnl`	Direct machine learning reconstruction of respiratory variation waveforms from resting state fMRI data in a pediatric population. NeuroImage Abdoljalil Addeh, Fernando Vega, Prathistith Raj Medi, Rebecca J. Williams, G. Bruce Pike, M. Ethan MacDonald
2023	—	`conf`	Limitations Of the Derived Respiratory Variation Measurements Used in Functional Magnetic Resonance Imaging. ISBI Abdoljalil Addeh, Karen Ardila, Fernando Vega, Ali Golestani, M. Ethan MacDonald
2023	J	`jnl`	Using BOLD-fMRI to Compute the Respiration Volume per Time (RTV) and Respiration Variation (RV) with Convolutional Neural Networks (CNN) in the Human Connectome Development Cohort. CoRR Abdoljalil Addeh, Fernando Vega, Rebecca J. Williams, Ali Golestani, G. Bruce Pike, M. Ethan MacDonald
2023	—	`conf`	Using Machine Learning to Study the Effects of Genetic Predisposition on Brain Aging in the UK Biobank. ISBI Karen Ardila, Emily Munro, Fernando Vega, Aashka Mohite, Charlotte Curtis, Amanda V. Tyndall, M. Ethan MacDonald
2005	—	`conf`	Integrated Visualization of Diffusion Tensor Fiber Tracts and Anatomical Data. SimVis Dorit Merhof, Frank Enders, Fernando Vega, Peter Hastreiter, Christopher Nimsky, Marc Stamminger
2003	—	`conf`	3D Visualization of Intracranial Aneurysms with Multidimensional Transfer Functions. Bildverarbeitung für die Medizin Fernando Vega, Peter Hastreiter, Bernd Tomandl, Christopher Nimsky, Günther Greiner
2003	—	`conf`	Non-linear Intraoperative Correction of Brain Shift with 1.5 T Data. Bildverarbeitung für die Medizin Grzegorz Soza, Peter Hastreiter, Fernando Vega, Christof Rezk-Salama, Michael Bauer, Christopher Nimsky, Günther Greiner