Karl Thurnhofer-Hemsi

发表

Comparación de marcos de trabajo de Aprendizaje Profundo para la detección de objetos

Jesús Benito Picazo, Karl Thurnhofer-Hemsi, Miguel A. Molina-Cabello, 2018 .

Loss of regional accent after damage to the speech production network

M. I. Massone, M. Berthier, G. Dávila, 2015, Front. Hum. Neurosci..

Mild Developmental Foreign Accent Syndrome and Psychiatric Comorbidity: Altered White Matter Integrity in Speech and Emotion Regulation Networks

C. Falcón, M. Berthier, G. Dávila, 2016, Front. Hum. Neurosci..

Cholinergic Potentiation and Audiovisual Repetition-Imitation Therapy Improve Speech Production and Communication Deficits in a Person with Crossed Aphasia by Inducing Structural Plasticity in White Matter Tracts

D. López-Barroso, M. Berthier, G. Dávila, 2017, Front. Hum. Neurosci..

Super-resolution of 3 D Magnetic Resonance Images by random shifting and convolutional neural networks

Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, N. Roé-Vellvé, 2018 .

Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images

Miguel A. Molina-Cabello, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, 2018, Integr. Comput. Aided Eng..

Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting

D. Elizondo, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, 2021, IEEE Access.

Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolution

Miguel A. Molina-Cabello, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, 2020, Integr. Comput. Aided Eng..

Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images

Miguel A. Molina-Cabello, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, 2019, IWINAC.

A Convolutional Neural Network Framework for Accurate Skin Cancer Detection

Karl Thurnhofer-Hemsi, Enrique Domínguez, Karl Thurnhofer-Hemsi, 2020, Neural Processing Letters.

Super-Resolution of 3D MRI Corrupted by Heavy Noise With the Median Filter Transform

Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, Núria Roé-Vellvé, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

Francisco Herrera, Richard J. Duro, Paulo Novais, 2020, Neurocomputing.

Robust Fitting of Ellipsoids by Separating Interior and Exterior Points During Optimization

Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, José Muñoz-Pérez, 2017, Journal of Mathematical Imaging and Vision.

Diabetic Wound Segmentation using Convolutional Neural Networks

Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, Kayvan Najarian, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Are you a doctor? … Are you a doctor? I’m not a doctor! A reappraisal of mitigated echolalia in aphasia with evaluation of neural correlates and treatment approaches

D. López-Barroso, M. Berthier, G. Dávila, 2018 .

QModeling: a Multiplatform, Easy-to-Use and Open-Source Toolbox for PET Kinetic Analysis

Karl Thurnhofer-Hemsi, N. Roé-Vellvé, J. Paredes-Pacheco, 2018, Neuroinformatics.

Radial basis function kernel optimization for Support Vector Machine classifiers pdf

Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Kayvan Najarian, 2020, ArXiv.

Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment

Miguel A. Molina-Cabello, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting

Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, Enrique Domínguez, 2020, Neurocomputing.

Analyzing Digital Image by Deep Learning for Melanoma Diagnosis

Karl Thurnhofer-Hemsi, Enrique Domínguez, Karl Thurnhofer-Hemsi, 2019, IWANN.

Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks

Miguel A. Molina-Cabello, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Ellipse fitting by spatial averaging of random ensembles

Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, Elidia Beatriz Blazquez-Parra, 2020, Pattern Recognit..

QModeling: a Multiplatform, Easy-to-Use and Open-Source Toolbox for PET Kinetic Analysis

Karl Thurnhofer-Hemsi, Manuel Enciso, Núria Roé-Vellvé, 2018, Neuroinformatics.

Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms

Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).