Albert Clèrigues

According to our database, Albert Clèrigues authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.

Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler

CoRR, 2024

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

2023

Deep learning methods for extraction of neuroimage markers in the prognosis of brain pathologies

Albert Clèrigues

PhD thesis, 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

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

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

2021

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

2020

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

2019

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

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

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