Xavier Llado
Universidad de Gerona
H-index: 47
Europe-Spain
Top articles of Xavier Llado
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
An End-to-End Deep Learning Framework for Predicting Hematoma Expansion in Hemorrhagic Stroke Patients from CT Images | Applied Sciences | Valeriia Abramova Arnau Oliver Joaquim Salvi Mikel Terceño Yolanda Silva | 2024/3/23 |
Strategies to combine 3D vasculature and brain CTA with deep neural networks: Application to LVO | Iscience | Uma M Lal-Trehan Estrada Arnau Oliver Sunil A Sheth Xavier Lladó Luca Giancardo | 2024/2/16 |
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge | arXiv preprint arXiv:2403.19425 | Ezequiel de la Rosa Mauricio Reyes Sook-Lei Liew Alexandre Hutton Roland Wiest | 2024/3/28 |
Deciphering multiple sclerosis disability with deep learning attention maps on clinical MRI | Llucia Coll Benejam Deborah Pareto Onghena Pere Carbonell i Mirabent Alvaro Cobo Calvo Georgina Arrambide García | 2023 | |
Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry | Computerized Medical Imaging and Graphics | Albert Clèrigues Sergi Valverde Joaquim Salvi Arnau Oliver Xavier Lladó | 2023/1/1 |
Motion-region annotation for complex videos via label propagation across occluders | Machine vision and applications | Muhammad Habib Mahmood Yago Diéz Arnau Oliver Joaquim Salvi Xavier Lladó | 2023/1 |
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA | arXiv preprint arXiv:2312.17670 | Kaiyuan Yang Fabio Musio Yihui Ma Norman Juchler Johannes C Paetzold | 2023/12/29 |
Global and Regional Deep Learning Models for Multiple Sclerosis Stratification From MRI | Journal of Magnetic Resonance Imaging | Llucia Coll Deborah Pareto Pere Carbonell‐Mirabent Álvaro Cobo‐Calvo Georgina Arrambide | 2023/10/6 |
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge | arXiv preprint arXiv:2301.03281 | Xiangyu Li Gongning Luo Kuanquan Wang Hongyu Wang Jun Liu | 2023/1/9 |
Evaluating the use of synthetic t1-w images in new t2 lesion detection in multiple sclerosis | Frontiers in Neuroscience | Liliana Valencia Albert Clèrigues Sergi Valverde Mostafa Salem Arnau Oliver | 2022/9/29 |
QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results | The journal of machine learning for biomedical imaging | Raghav Mehta Angelos Filos Ujjwal Baid Chiharu Sako Richard McKinley | 2022/8 |
Assessment of automatic decision-support systems for detecting active T2 lesions in multiple sclerosis patients | Multiple Sclerosis Journal | Alex Rovira Juan Francisco Corral Cristina Auger Sergi Valverde Angela Vidal-Jordana | 2022/7 |
Deep learning for medical imaging | Jose Bernal Kaisar Kushibar Albert Clèrigues Arnau Oliver Xavier Lladó | 2022 | |
Structural changes in subcutaneous and visceral abdominal fatty tissue induced by local application of 448 kHz capacitive resistive monopolar radiofrequency: a magnetic … | Lasers in Medical Science | Josep Puig Robert Martí Xavier Lladó Marc-Ignasi Corral-Baqués Sebastià Sendrós-Tolsau | 2022/12 |
Improving the detection of new lesions in multiple sclerosis with a cascaded 3D fully convolutional neural network approach | Frontiers in Neuroscience | Mostafa Salem Marwa Ahmed Ryan Arnau Oliver Khaled Fathy Hussain Xavier Lladó | 2022/11/24 |
MSDetector: A fully convolutional neural network for the detection of new T2-w lesion in multiple sclerosis | MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure | Mostafa Salem Arnau Oliver Joaquim Salvi Xavier Lladó | 2021 |
Generating longitudinal atrophy evaluation datasets on brain magnetic resonance images using convolutional neural networks and segmentation priors | Neuroinformatics | Jose Bernal Sergi Valverde Kaisar Kushibar Mariano Cabezas Arnau Oliver | 2021/7 |
Assessing the accuracy and reproducibility of PARIETAL: a deep learning brain extraction algorithm | Journal of Magnetic Resonance Imaging | Sergi Valverde Llucia Coll Liliana Valencia Albert Clèrigues Arnau Oliver | 2021/6/16 |
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks | Computerized Medical Imaging and Graphics | Valeriia Abramova Albert Clerigues Ana Quiles Deysi Garcia Figueredo Yolanda Silva | 2021/6/1 |
Transductive transfer learning for domain adaptation in brain magnetic resonance image segmentation | Frontiers in Neuroscience | Kaisar Kushibar Mostafa Salem Sergi Valverde Àlex Rovira Joaquim Salvi | 2021/4/29 |
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