E-LIB Suche - Ergebnisse für: Thurnhofer-Hemsi, Karl

1

Deep Learning-Based Classification of Invasive Coronary Ang..:

, In: Lecture Notes in Computer Science; Bioinspired Systems for Translational Applications: From Robotics to Social Engineering,

Jiménez-Partinen, Ariadna ; Palomo, Esteban J. ; Thurnhofer-Hemsi, Karl.. - p. 116-125 , 2024

Link: https://doi.org/10.1007/..

2

Regression of the Rician Noise Level in 3D Magnetic Resonan..:

Maza-Quiroga, Rosa ; Thurnhofer-Hemsi, Karl ; López-Rodríguez, Domingo.
Axioms. 12 (2023) 12 - p. 1117 , 2023

Link: https://doi.org/10.3390/..

3

Analysis and Recognition of Human Gait Activity Based on Mu..:

Teran-Pineda, Diego ; Thurnhofer-Hemsi, Karl ; Dominguez, Enrique
Mathematics. 11 (2023) 6 - p. 1538 , 2023

Link: https://doi.org/10.3390/..

4

Ensemble ellipse fitting by spatial median consensus:

Thurnhofer-Hemsi, Karl ; López-Rubio, Ezequiel ; Blázquez-Parra, Elidia Beatriz..
Information Sciences. 579 (2021) - p. 310-324 , 2021

Link: https://doi.org/10.1016/..

5

Super-Resolution of 3D MRI Corrupted by Heavy Noise With th..:

, In: 2020 IEEE International Conference on Image Processing (ICIP),

Thurnhofer-Hemsi, Karl ; Lopez-Rubio, Ezequiel ; Roe-Vellve, Nuria. - p. 3015-3019 , 2020

Link: https://doi.org/10.1109/..

6

Deep learning-based super-resolution of 3D magnetic resonan..:

Thurnhofer-Hemsi, Karl ; López-Rubio, Ezequiel ; Domínguez, Enrique..
Neurocomputing. 398 (2020) - p. 314-327 , 2020

Link: https://doi.org/10.1016/..

7

Ellipse fitting by spatial averaging of random ensembles:

Thurnhofer-Hemsi, Karl ; López-Rubio, Ezequiel ; Blázquez-Parra, Elidia Beatriz..
Pattern Recognition. 106 (2020) - p. 107406 , 2020

Link: https://doi.org/10.1016/..

8

A Convolutional Neural Network Framework for Accurate Skin ..:

Thurnhofer-Hemsi, Karl ; Domínguez, Enrique
Neural Processing Letters. 53 (2020) 5 - p. 3073-3093 , 2020

Link: https://doi.org/10.1007/..

9

A fast robust geometric fitting method for parabolic curves:

López-Rubio, Ezequiel ; Thurnhofer-Hemsi, Karl ; Blázquez-Parra, Elidia Beatriz..
Pattern Recognition. 84 (2018) - p. 301-316 , 2018

Link: https://doi.org/10.1016/..

10

QModeling: a Multiplatform, Easy-to-Use and Open-Source Too..:

López-González, Francisco J. ; Paredes-Pacheco, José ; Thurnhofer-Hemsi, Karl...
Neuroinformatics. 17 (2018) 1 - p. 103-114 , 2018

Link: https://doi.org/10.1007/..

11

Are you a doctor? … Are you a doctor? I'm not a doctor! A r..:

Berthier, Marcelo L. ; Torres-Prioris, María José ; López-Barroso, Diana...
Aphasiology. 32 (2017) 7 - p. 784-813 , 2017

Link: https://doi.org/10.1080/..

12

Robust Fitting of Ellipsoids by Separating Interior and Ext..:

López-Rubio, Ezequiel ; Thurnhofer-Hemsi, Karl ; de Cózar-Macías, Óscar David...
Journal of Mathematical Imaging and Vision. 58 (2016) 2 - p. 189-210 , 2016

Link: https://doi.org/10.1007/..

13

Are learning styles useful? A new software to analyze corre..:

Molina-Cabello, Miguel Ángel ; Thurnhofer-Hemsi, Karl ; Molina Cabello, David.
M. A. Molina‐Cabello, K. Thurnhofer‐Hemsi, D. Molina‐Cabello, and E. J. Palomo, Are learning styles useful? A new software to analyze correlations with grades and a case study in engineering, Comput. Appl. Eng. Educ. (2022), 1–15. https://doi.org/10.1002/cae.22597. , 2023

Link: https://hdl.handle.net/1..

14

Regression of the Rician Noise Level in 3D Magnetic Resonan..:

Maza-Quiroga, Rosa ; Thurnhofer-Hemsi, Karl ; López-Rodríguez, Domingo.
Maza-Quiroga, R.; Thurnhofer-Hemsi, K.; López-Rodríguez, D.; López-Rubio, E. Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit. Axioms 2023, 12, 1117. https://doi.org/10.3390/axioms12121117. , 2023

Link: https://hdl.handle.net/1..

15

Are learning styles useful? A new software to analyze corre..:

Molina-Cabello, Miguel A ; Thurnhofer-Hemsi, Karl ; Molina-Cabello, David.
Early Access. , 2023

Link: https://reunir.unir.net/..