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Albert Clèrigues
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Books and Theses
- 2023
- [b1]Albert Clèrigues:
Deep learning methods for extraction of neuroimage markers in the prognosis of brain pathologies. University of Girona, Spain, 2023
Journal Articles
- 2024
- [j5]Albert Clèrigues, Sergi Valverde, Arnau Oliver, Xavier Lladó:
Improving brain atrophy quantification with deep learning from automated labels using tissue similarity priors. Comput. Biol. Medicine 179: 108811 (2024) - 2023
- [j4]Albert Clèrigues, Sergi Valverde, Joaquim Salvi, Arnau Oliver, Xavier Lladó:
Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry. Comput. Medical Imaging Graph. 103: 102157 (2023) - 2021
- [j3]Valeriia Abramova, Albert Clérigues, Ana Quiles, Deysi Garcia Figueredo, Yolanda Silva, Salvador Pedraza, Arnau Oliver, Xavier Lladó:
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks. Comput. Medical Imaging Graph. 90: 101908 (2021) - 2020
- [j2]Albert Clérigues, Sergi Valverde, José Bernal, Jordi Freixenet, Arnau Oliver, Xavier Lladó:
Acute and sub-acute stroke lesion segmentation from multimodal MRI. Comput. Methods Programs Biomed. 194: 105521 (2020) - 2019
- [j1]Albert Clérigues, Sergi Valverde, José Bernal, Jordi Freixenet, Arnau Oliver, Xavier Lladó:
Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks. Comput. Biol. Medicine 115 (2019)
Informal and Other Publications
- 2024
- [i3]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:
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR abs/2403.19425 (2024) - 2018
- [i2]Mariano Cabezas, Sergi Valverde, Sandra González-Villà, Albert Clérigues, Mostafa Salem, Kaisar Kushibar, José Bernal, Arnau Oliver, Xavier Lladó:
Survival prediction using ensemble tumor segmentation and transfer learning. CoRR abs/1810.04274 (2018) - [i1]Albert Clérigues, Sergi Valverde, José Bernal, Jordi Freixenet, Arnau Oliver, Xavier Lladó:
SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI. CoRR abs/1810.13304 (2018)
Coauthor Index
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