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Computers in Biology and Medicine|July 11, 2024
Improving brain atrophy quantification with deep learning from automated labels using tissue similarity priorsAlbert Clèrigues, Sergi Valverde, Arnau Oliver, et al.Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 19, 2022
Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetryAlbert Clèrigues, Sergi Valverde, Joaquim Salvi, et al.Computer Methods and Programs in Biomedicine|May 21, 2020
Acute and sub-acute stroke lesion segmentation from multimodal MRIAlbert Clèrigues, Sergi Valverde, Jose Bernal, et al.Computers in Biology and Medicine|October 20, 2019
Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networksAlbert Clèrigues, Sergi Valverde, Jose Bernal, et al.Frontiers in Neuroscience|October 17, 2022
Evaluating the use of synthetic T1-w images in new T2 lesion detection in multiple sclerosisLiliana Valencia, Albert Clèrigues, Sergi Valverde, et al.Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 26, 2021
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocksValeriia Abramova, Albert Clèrigues, Ana Quiles, et al.Journal of Magnetic Resonance Imaging : JMRI|June 17, 2021
Assessing the Accuracy and Reproducibility of PARIETAL: A Deep Learning Brain Extraction AlgorithmSergi Valverde, Llucia Coll, Liliana Valencia, et al.Nature Communications|August 9, 2025
DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challengeEzequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, et al.Pageof 1