Pablo Ribalta Lorenzo

According to our database, Pablo Ribalta Lorenzo authored at least 15 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation.

Jakub Nalepa, Marek Antoniak, Michal Myller, Pablo Ribalta Lorenzo, Michal Marcinkiewicz

Microprocess. Microsystems, 2020

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors.

Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Maksym Walczak, Michal Kawulok, Wojciech Dudzik, Krzysztof Kotowski, Izabela Burda, Bartosz Machura, Grzegorz Mrukwa, Pawel Ulrych, Michael P. Hayball

Artif. Intell. Medicine, 2020

Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks.

Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa

IEEE Access, 2020

2019

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors.

Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Maksym Walczak, Michal Kawulok, Wojciech Dudzik, Grzegorz Mrukwa, Pawel Ulrych, Michael P. Hayball

CoRR, 2019

Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.

Pablo Ribalta Lorenzo, Jakub Nalepa, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Grzegorz Mrukwa, Michal Kawulok, Pawel Ulrych, Michael P. Hayball

Comput. Methods Programs Biomed., 2019

Data Augmentation via Image Registration.

Jakub Nalepa, Marcin Cwiek, Wojciech Dudzik, Michal Kawulok, Michael P. Hayball, Grzegorz Mrukwa, Szymon Piechaczek, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Pawel Ulrych, Janusz Szymanek

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Multi-modal U-Nets with Boundary Loss and Pre-training for Brain Tumor Segmentation.

Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks.

Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa

CoRR, 2018

Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets.

Michal Marcinkiewicz, Jakub Nalepa, Pablo Ribalta Lorenzo, Wojciech Dudzik, Grzegorz Mrukwa

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Memetic evolution of deep neural networks.

Pablo Ribalta Lorenzo, Jakub Nalepa

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks.

Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa

Proceedings of the 21st Euromicro Conference on Digital System Design, 2018

2017

Hyper-parameter selection in deep neural networks using parallel particle swarm optimization.

Pablo Ribalta Lorenzo, Jakub Nalepa, Luciano Sánchez Ramos, José Ranilla Pastor

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Particle swarm optimization for hyper-parameter selection in deep neural networks.

Pablo Ribalta Lorenzo, Jakub Nalepa, Michal Kawulok, Luciano Sánchez Ramos, José Ranilla Pastor

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Hands-Free Research Workflow.

Pablo Ribalta Lorenzo, Jakub Nalepa, Luciano Sánchez Ramos, José Ranilla Pastor

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, 2017

Convergence Analysis of PSO for Hyper-Parameter Selection in Deep Neural Networks.

Jakub Nalepa, Pablo Ribalta Lorenzo

Proceedings of the Advances on P2P, 2017