A parallel implementation of the 2D wavelet transform using CUDA J Franco, G Bernabé, J Fernández, ME Acacio Parallel, Distributed and Network-based Processing, 2009 17th Euromicro …, 2009 | 118 | 2009 |
Parallel 3D fast wavelet transform on manycore GPUs and multicore CPUs J Franco, G Bernabé, J Fernández, M Ujaldón Procedia Computer Science 1 (1), 1101-1110, 2010 | 42 | 2010 |
The 2D wavelet transform on emerging architectures: GPUs and multicores J Franco, G Bernabé, J Fernández, M Ujaldón Journal of Real-Time Image Processing 7, 145-152, 2012 | 34 | 2012 |
Virtual surgical telesimulations in otolaryngology AA Navarro Newball, CJ Hernández, JA Velez, LE Munera, GB García, ... Medicine Meets Virtual Reality 13, 353-355, 2005 | 33 | 2005 |
FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming ÁL Perales Gómez, PE López-de-Teruel, A Ruiz, G García-Mateos, ... Cluster Computing 25 (3), 2163-2178, 2022 | 31 | 2022 |
A new lossy 3-D wavelet transform for high-quality compression of medical video G Bernabé, J González, JM Garcia, J Duato Information Technology Applications in Biomedicine, 2000. Proceedings. 2000 …, 2000 | 30 | 2000 |
A lossy 3D wavelet transform for high-quality compression of medical video G Bernabé, JM García, J González Journal of Systems and Software 82 (3), 526-534, 2009 | 29 | 2009 |
Reducing 3D fast wavelet transform execution time using blocking and the streaming SIMD extensions G Bernabé, JM García, J González Journal of VLSI signal processing systems for signal, image and video …, 2005 | 25 | 2005 |
Memory conscious 3D wavelet transform G Bernabé, J González, JM García, J Duato Proceedings. 28th Euromicro Conference, 108-113, 2002 | 21 | 2002 |
Tuning basic Linear Algebra Routines for Hybrid CPU+ GPU Platforms G Bernabé, J Cuenca, LP García, D Giménez Procedia Computer Science 29, 30-39, 2014 | 18 | 2014 |
CUDA and OpenCL implementations of 3D fast wavelet transform G Bernabé, GD Guerrero, J Fernández 2012 IEEE 3rd Latin American Symposium on Circuits and Systems (LASCAS), 1-4, 2012 | 18 | 2012 |
Optimization techniques for 3D-FWT on systems with manycore GPUs and multicore CPUs G Bernabé, J Cuenca, D Giménez Procedia Computer Science 18, 319-328, 2013 | 17 | 2013 |
Parallel implementations of the 3D fast wavelet transform on a Raspberry Pi 2 cluster G Bernabé, R Hernández, ME Acacio The Journal of Supercomputing 74 (4), 1765-1778, 2018 | 15 | 2018 |
Left ventricular non-compaction cardiomyopathy automatic diagnosis using a deep learning approach JM Rodríguez-de-Vera, G Bernabé, JM García, D Saura, ... Computer Methods and Programs in Biomedicine 214, 106548, 2022 | 14 | 2022 |
Auto-tuning techniques for linear algebra routines on hybrid platforms G Bernabé, J Cuenca, LP García, D Giménez Journal of Computational Science 10, 299-310, 2015 | 14 | 2015 |
An efficient implementation of a 3D wavelet transform based encoder on hyper-threading technology G Bernabé, R Fernández, JM García, ME Acacio, J González Parallel Computing 33 (1), 54-72, 2007 | 13 | 2007 |
Virtual surgical tele-simulations in ophthalmology AAN Newball, JA Vélez, JE Satizabal, LE Múnera, G Bernabé International congress series 1256, 145-150, 2003 | 13 | 2003 |
A Software Tool for the Automatic Quantification of the Left Ventricle Myocardium Hyper-trabeculation Degree G Bernabé, J Cuenca, PEL de Teruel, D Giménez, J González-Carrillo Procedia Computer Science 51, 610-619, 2015 | 12 | 2015 |
Performance of a New Software Tool for Automatic Quantification of Left Ventricular Trabeculations G Bernabé, J González-Carrillo, J Cuenca, D Rodríguez, D Saura, ... Revista Española de Cardiología (English Edition), 2016 | 11* | 2016 |
A self-optimized software tool for quantifying the degree of left ventricle hyper-trabeculation G Bernabé, JD Casanova, J Cuenca, J González-Carrillo The Journal of Supercomputing 75, 1625-1640, 2019 | 10 | 2019 |