Arnau Oliver

Universitat de Girona — Spain

Computer Science · Physical Sciences

38h-index5.8kcitations190works2.12yr avg
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Research Topics

Medical Image Segmentation Techniques(86), AI in cancer detection(67), Digital Radiography and Breast Imaging(25), Brain Tumor Detection and Classification(25), Image Retrieval and Classification Techniques(24)

Publications190 total

Window self-attention and 3D volumetric refinement for large vessel occlusion detection in brain angiography
Pattern Recognition Letters·2025
Deep learning framework for vertebral heart size and cardiothoracic ratio estimation in dogs and cats using thoracic radiographs
Frontiers in Veterinary Science·2025Open Access
DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge
Nature Communications·2025· 4 citedOpen Access
A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment
2025
TEACHING MEDICAL IMAGE ANALYSIS FROM AN INNOVATIVE PERSPECTIVE
EDULEARN proceedings·2025
Encoding 3D information in 2D feature maps for brain CT-Angiography
Computerized Medical Imaging and Graphics·2025
Deep learning to predict progression independent of relapse activity at a first demyelinating event
Brain Communications·2025· 2 citedOpen Access
Automatic Segmentation of Sylvian Fissure in Brain Ultrasound Images of Pre-Term Infants Using Deep Learning Models
Ultrasound in Medicine & Biology·2024· 2 citedOpen Access
Hematoma expansion prediction in intracerebral hemorrhage patients by using synthesized CT images in an end-to-end deep learning framework
Computerized Medical Imaging and Graphics·2024· 11 citedOpen Access
Improving brain atrophy quantification with deep learning from automated labels using tissue similarity priors
Computers in Biology and Medicine·2024Open Access
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
arXiv (Cornell University)·2024· 8 citedOpen Access
An End-to-End Deep Learning Framework for Predicting Hematoma Expansion in Hemorrhagic Stroke Patients from CT Images
Applied Sciences·2024· 1 citedOpen Access
Strategies to combine 3D vasculature and brain CTA with deep neural networks: Application to LVO
iScience·2024· 3 citedOpen Access
An End-to-End Deep Learning Framework for Predicting Hematoma Expansion in Hemorrhagic Stroke Patients from CT Images
SSRN Electronic Journal·2024· 1 citedOpen Access
nnUNet for Brain Tumor Segmentation in Sub-Saharan Africa Patient Population
Lecture notes in computer science·2024
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA
PubMed·2023· 8 citedOpen Access
Global and Regional Deep Learning Models for Multiple Sclerosis Stratification From <scp>MRI</scp>
Journal of Magnetic Resonance Imaging·2023· 13 citedOpen Access
Classification of MS patients into disability levels using deep learning approaches based solely on routinely-acquired MRI
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2023
Deciphering multiple sclerosis disability with deep learning attention maps on clinical MRI
NeuroImage Clinical·2023· 20 citedOpen Access
Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry
Computerized Medical Imaging and Graphics·2022· 13 citedOpen Access
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Frequent Co-authors

Xavier Lladó(36), Jordi Freixenet(25), Mariano Cabezas(17), Sergi Valverde(16), Joan C. Vilanova(15), Robert Martí(15), Àlex Rovira(14), Lluís Ramió‐Torrentà(11), Reyer Zwiggelaar(10), Joan Martı́(9), Deborah Pareto(8), Eloy Roura(7), Erika Denton(6), Elsa Pérez(5), Josep Pont(5), Sandra González-Villà(5), Kaisar Kushibar(4), José Bernal(4), Yago Díez(4), Soumya Ghose(3)