Pablo Ribalta Lorenzo

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 15

Top Topics

Parameter Selection

Top Venues

BrainLes@MICCAI (2)

GECCO (Companion)

Publications

Jakub Nalepa, Marek Antoniak, Michal Myller, Pablo Ribalta Lorenzo, Michal Marcinkiewicz
Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation. Microprocess. Microsystems 73 (2020)
Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa
Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks. IEEE Access 8 (2020)
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
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. Artif. Intell. Medicine 102 (2020)
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
Data Augmentation via Image Registration. ICIP (2019)
Pablo Ribalta Lorenzo, Jakub Nalepa, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Grzegorz Mrukwa, Michal Kawulok, Pawel Ulrych, Michael P. Hayball
Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks. Comput. Methods Programs Biomed. 176 (2019)
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
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. CoRR (2019)
Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa
Multi-modal U-Nets with Boundary Loss and Pre-training for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2019)
Pablo Ribalta Lorenzo, Jakub Nalepa
Memetic evolution of deep neural networks. GECCO (2018)
Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa
Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks. CoRR (2018)
Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa
Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks. DSD (2018)
Michal Marcinkiewicz, Jakub Nalepa, Pablo Ribalta Lorenzo, Wojciech Dudzik, Grzegorz Mrukwa
Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets. BrainLes@MICCAI (2) (2018)
Pablo Ribalta Lorenzo, Jakub Nalepa, Luciano Sánchez Ramos, José Ranilla Pastor
Hyper-parameter selection in deep neural networks using parallel particle swarm optimization. GECCO (Companion) (2017)
Jakub Nalepa, Pablo Ribalta Lorenzo
Convergence Analysis of PSO for Hyper-Parameter Selection in Deep Neural Networks. 3PGCIC (2017)
Pablo Ribalta Lorenzo, Jakub Nalepa, Michal Kawulok, Luciano Sánchez Ramos, José Ranilla Pastor
Particle swarm optimization for hyper-parameter selection in deep neural networks. GECCO (2017)
Pablo Ribalta Lorenzo, Jakub Nalepa, Luciano Sánchez Ramos, José Ranilla Pastor
Hands-Free Research Workflow. EASE (2017)