Non-linear Intraoperative Correction of Brain Shift with 1.5 T Data. - Grzegorz Soza; Peter Hastreiter; Fernando Vega; Christof Rezk-Salama; Michael Bauer 002; Christopher Nimsky; Günther Greiner (Bildverarbeitung für die Medizin, 2003)

3D Visualization of Intracranial Aneurysms with Multidimensional Transfer Functions. - Fernando Vega; Peter Hastreiter; Bernd Tomandl; Christopher Nimsky; Günther Greiner (Bildverarbeitung für die Medizin, 2003)

Enhanced 3D-Visualization of Intracranial Aneurysms Involving the Skull Base. - Fernando Vega Higuera; Natascha Sauber; Bernd Tomandl; Christopher Nimsky; Günther Greiner; Peter Hastreiter (MICCAI (2), 2003)

Advanced and standardized evaluation of neurovascular compression syndromes. - Peter Hastreiter; Fernando Vega Higuera; Bernd Tomandl; Rudolf Fahlbusch; Ramin Naraghi (Image-Guided Procedures, 2004)

Automatic adjustment of bidimensional transfer functions for direct volume visualization of intracranial aneurysms. - Fernando Vega Higuera; Natascha Sauber; Bernd Tomandl; Christopher Nimsky; Günther Greiner; Peter Hastreiter (Image-Guided Procedures, 2004)

Smooth volume rendering of labeled medical data on consumer graphics hardware. - Fernando Vega Higuera; Peter Hastreiter; Ramin Naraghi; Rudolf Fahlbusch; G. Greiner (Image-Guided Procedures, 2005)

Integrated Visualization of Diffusion Tensor Fiber Tracts and Anatomical Data. - Dorit Merhof; Frank Enders; Fernando Vega; Peter Hastreiter; Christopher Nimsky; Marc Stamminger (SimVis, 2005)

High Performance Volume Splatting for Visualization of Neurovascular Data. - Fernando Vega Higuera; Peter Hastreiter; Rudolf Fahlbusch; Günther Greiner (IEEE Visualization, 2005)

Interactive tissue separation and visualization with dual-energy data on the GPU. - Fernando Vega Higuera; Bernhard Krauss (Image-Guided Procedures, 2008)

Learning-Based Detection of Stenotic Lesions in Coronary CT Data. - Matthias Tessmann; Fernando Vega Higuera; Dominik Fritz; Michael Scheuering; Günther Greiner (VMV, 2008)

Multi-scale feature extraction for learning-based classification of coronary artery stenosis. - Matthias Tessmann; Fernando Vega Higuera; Dominik Fritz; Michael Scheuering; Günther Greiner (Computer-Aided Diagnosis, 2009)

Probabilistic boosting trees for automatic bone removal from CT angiography images. - Arne Militzer; Fernando Vega Higuera (Image Processing, 2009)

Left ventricle endocardium segmentation for cardiac CT volumes using an optimal smooth surface. - Yefeng Zheng 001; Bogdan Georgescu; Fernando Vega Higuera; Dorin Comaniciu (Image Processing, 2009)

Robust Automatic Calcium Scoring for CT Coronary Angiography. - Matthias Tessmann; Fernando Vega Higuera; Bernhard Bischoff; Jörg Hausleiter; Günther Greiner (Bildverarbeitung für die Medizin, 2010)

Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images. - Sushil Mittal; Yefeng Zheng 001; Bogdan Georgescu; Fernando Vega Higuera; Shaohua Kevin Zhou; Peter Meer; Dorin Comaniciu (MLMI, 2010)

Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization. - Yefeng Zheng 001; Fernando Vega Higuera; Shaohua Kevin Zhou; Dorin Comaniciu (MLMI, 2010)

Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE. - Razvan Ioan Ionasec; Ingmar Voigt; Bogdan Georgescu; Yang Wang 001; Helene Houle; Fernando Vega Higuera; Nassir Navab; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2010)

Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. - B. Michael Kelm; Sushil Mittal; Yefeng Zheng 001; Alexey Tsymbal; Dominik Bernhardt; Fernando Vega Higuera; Shaohua Kevin Zhou; Peter Meer; Dorin Comaniciu (MICCAI (3), 2011)

Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures. - Yefeng Zheng 001; Hüseyin Tek; Gareth Funka-Lea; Shaohua Kevin Zhou; Fernando Vega Higuera; Dorin Comaniciu (MICCAI (3), 2011)

Machine learning based vesselness measurement for coronary artery segmentation in cardiac CT volumes. - Yefeng Zheng 001; Maciej Loziczonek; Bogdan Georgescu; Shaohua Kevin Zhou; Fernando Vega Higuera; Dorin Comaniciu (Image Processing, 2011)

Automatic detection and quantification of coronary calcium on 3D CT angiography data. - Matthias Teßmann; Fernando Vega Higuera; Bernhard Bischoff; Jörg Hausleiter; Günther Greiner (Comput. Sci. Res. Dev., 2011)

Segmentation and removal of pulmonary arteries, veins and left atrial appendage for visualizing coronary and bypass arteries. - Hua Zhong 005; Yefeng Zheng 001; Gareth Funka-Lea; Fernando Vega Higuera (CVPR Workshops, 2012)

Automatic Heart Isolation in 3D CT Images. - Hua Zhong 005; Yefeng Zheng 001; Gareth Funka-Lea; Fernando Vega Higuera (MCV, 2012)

Advanced intervention planning for Transcatheter Aortic Valve Implantations (TAVI) from CT using volumetric models. - Sasa Grbic; Razvan Ioan Ionasec; Tommaso Mansi; Bogdan Georgescu; Fernando Vega Higuera; Nassir Navab; Dorin Comaniciu (ISBI, 2013)

Limitations Of the Derived Respiratory Variation Measurements Used in Functional Magnetic Resonance Imaging. - Abdoljalil Addeh; Karen Ardila; Fernando Vega; Ali Golestani; M. Ethan MacDonald (ISBI, 2023)

Using Machine Learning to Study the Effects of Genetic Predisposition on Brain Aging in the UK Biobank. - Karen Ardila; Emily Munro; Fernando Vega; Aashka Mohite; Charlotte Curtis; Amanda V. Tyndall; M. Ethan MacDonald (ISBI, 2023)

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. - Abdoljalil Addeh; Fernando Vega; Rebecca J. Williams; Ali Golestani; G. Bruce Pike; M. Ethan MacDonald (CoRR, 2023)

Denoising Simulated Low-Field MRI (70mT) using Denoising Autoencoders (DAE) and Cycle-Consistent Generative Adversarial Networks (Cycle-GAN). - Fernando Vega; Abdoljalil Addeh; M. Ethan MacDonald (CoRR, 2023)

Amyloid-Beta Axial Plane PET Synthesis from Structural MRI: An Image Translation Approach for Screening Alzheimer's Disease. - Fernando Vega; Abdoljalil Addeh; M. Ethan MacDonald (CoRR, 2023)

A voxel-level approach to brain age prediction: A method to assess regional brain aging. - Neha Gianchandani; Mahsa Dibaji; Johanna Ospel; Fernando Vega; Mariana P. Bento; M. Ethan MacDonald; Roberto Souza 001 (CoRR, 2023)

Direct machine learning reconstruction of respiratory variation waveforms from resting state fMRI data in a pediatric population. - Abdoljalil Addeh; Fernando Vega; Prathistith Raj Medi; Rebecca J. Williams; G. Bruce Pike; M. Ethan MacDonald (NeuroImage, 2023)

Radiation Dose Reduction in Computed Tomography Perfusion of Acute Ischemic Stroke Patients Using a Denoising Autoencoder. - Pattarawut Charatpangoon; Pauline Delannoy; Connor McDougall; Fernando Vega; Aashka Mohite; Philip Barber; Bijoy K. Menon; Aravind Ganesh; M. Ethan MacDonald (ISBI, 2024)

Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow. - Marvin Tom Teichmann; Manasi Datar; Lisa Kratzke; Fernando Vega; Florin C. Ghesu (MICCAI (10), 2024)

Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters. - Abdoljalil Addeh; Fernando Vega; Rebecca J. Williams; G. Bruce Pike; M. Ethan MacDonald (CoRR, 2024)

Three-Dimensional Amyloid-Beta PET Synthesis from Structural MRI with Conditional Generative Adversarial Networks. - Fernando Vega; Abdoljalil Addeh; M. Ethan MacDonald (CoRR, 2024)

Social influence dynamics for image segmentation: a novel pixel interaction approach. - Erik Cuevas; Alberto Luque; Fernando Vega; Daniel Zaldivar 001; Jesús López (J. Comput. Soc. Sci., 2024)