Survival prediction using ensemble tumor segmentation and transfer learning. - Mariano Cabezas; Sergi Valverde; Sandra González-Villà; Albert Clérigues; Mostafa Salem; Kaisar Kushibar; José Bernal; Arnau Oliver; Xavier Lladó (CoRR, 2018)

SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI. - Albert Clérigues; Sergi Valverde; José Bernal; Jordi Freixenet; Arnau Oliver; Xavier Lladó (CoRR, 2018)

Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks. - Albert Clérigues; Sergi Valverde; José Bernal; Jordi Freixenet; Arnau Oliver; Xavier Lladó (Comput. Biol. Medicine, 2019)

Acute and sub-acute stroke lesion segmentation from multimodal MRI. - Albert Clérigues; Sergi Valverde; José Bernal; Jordi Freixenet; Arnau Oliver; Xavier Lladó (Comput. Methods Programs Biomed., 2020)

Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks. - Valeriia Abramova; Albert Clérigues; Ana Quiles; Deysi Garcia Figueredo; Yolanda Silva; Salvador Pedraza; Arnau Oliver; Xavier Lladó (Comput. Medical Imaging Graph., 2021)

nnUNet for Brain Tumor Segmentation in Sub-Saharan Africa Patient Population. - Valeriia Abramova; Uma M. Lal-Trehan Estrada; Cansu Yalcin; Rachika E. Hamadache; Albert Clèrigues; Francisco Aarón Tovar Sáez; Marc Guirao; Joaquim Salvi; Arnau Oliver; Xavier Lladó (BraTS/CrossMoDA@MICCAI, 2023)

Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry. - Albert Clèrigues; Sergi Valverde; Joaquim Salvi; Arnau Oliver; Xavier Lladó (Comput. Medical Imaging Graph., 2023)

Deep learning methods for extraction of neuroimage markers in the prognosis of brain pathologies - Albert Clèrigues (2023)

Improving brain atrophy quantification with deep learning from automated labels using tissue similarity priors. - Albert Clèrigues; Sergi Valverde; Arnau Oliver; Xavier Lladó (Comput. Biol. Medicine, 2024)

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. - Ezequiel de la Rosa; Mauricio Reyes 001; Sook-Lei Liew; Alexandre Hutton; Roland Wiest; Johannes Kaesmacher; Uta Hanning; Arsany Hakim; Richard Zubal; Waldo Valenzuela; David Robben; Diana Maria Sima; et al. (CoRR, 2024)