Hoyos Idrobo, A.
* 2014: On Variant Strategies to Solve the Magnitude Least Squares Optimization Problem in Parallel Transmission Pulse Design and Under Strict SAR and Power Constraints
* 2019: Recursive Nearest Agglomeration (ReNA): Fast Clustering for Approximation of Structured Signals
Includes: Hoyos Idrobo, A. Hoyos-Idrobo, A. Hoyos-Idrobo, A.[Andrés]
Hoyos Osorio, K.[Keider]
* 2017: Clustering-Based Undersampling to Support Automatic Detection of Focal Cortical Dysplasias
Includes: Hoyos Osorio, K.[Keider] Hoyos-Osorio, K.[Keider]
Hoyos Restrepo, M.[Manuela]
* 2022: Estimation of the Mass Concentration of Volcanic Ash Using Ceilometers: Study of Fresh and Transported Plumes from La Palma Volcano
Includes: Hoyos Restrepo, M.[Manuela] Hoyos-Restrepo, M.[Manuela]
Hoyos Rivera, G.D.J.[Guillermo De Jesus]
* 2021: Neuroevolution for Sentiment Analysis in Tweets Written in Mexican Spanish
Includes: Hoyos Rivera, G.D.J.[Guillermo De Jesus] Hoyos-Rivera, G.D.J.[Guillermo-De-Jesús]
Hoyos, A.[Alejandro]
* 2011: Statistical Tuning of Adaptive-Weight Depth Map Algorithm
* 2013: Tuning of Adaptive Weight Depth Map Generation Algorithms
Hoyos, J.[Jesus]
* 2016: Automatic Classification of Non-informative Frames in Colonoscopy Videos Using Texture Analysis
Hoyos, M.H.[Marcela Hernandez]
* 2005: Extraction of 3D Vascular Tree Skeletons Based on the Analysis of Connected Components Evolution
* 2010: Can the Coronary Artery Centerline Extraction in Computed Tomography Images Be Improved by Use of a Partial Volume Model?
* 2012: Fast Lesion Registration to Assist Coronary Heart Disease Diagnosis in CTA Images, A
* 2016: Airway Segmentation, Skeletonization, and Tree Matching to Improve Registration of 3D CT Images with Large Opacities in the Lungs
* 2017: Airway-Tree Segmentation in Subjects with Acute Respiratory Distress Syndrome
Includes: Hoyos, M.H.[Marcela Hernandez] Hoyos, M.H.[Marcela Hernández]
Hoyoss, J.A.[Jesus A.]
* 2015: Enhancing Normal-Abnormal Classification Accuracy in Colonoscopy Videos via Temporal Consistency
Hoyoux, T.[Thomas]
* 2015: Can Computer Vision Problems Benefit from Structured Hierarchical Classification?
* 2016: Can Computer Vision Problems Benefit from Structured Hierarchical Classification?
* 2016: new computer vision-based system to help clinicians objectively assess visual pursuit with the moving mirror stimulus for the diagnosis of minimally conscious state, A
Includes: Hoyoux, T.[Thomas] Hoyoux, T.