Sergi Valverde

Computer Science · Physical Sciences

20h-index2.4kcitations43works1.02yr avg
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Research Topics

Medical Image Segmentation Techniques(21), Brain Tumor Detection and Classification(16), Multiple Sclerosis Research Studies(11), AI in cancer detection(9), Ultrasound Imaging and Elastography(8)

Publications43 total

Mitigating catastrophic forgetting in Multiple sclerosis lesion segmentation using elastic weight consolidation
NeuroImage Clinical·2025· 2 citedOpen Access
Improving brain atrophy quantification with deep learning from automated labels using tissue similarity priors
Computers in Biology and Medicine·2024Open 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
Evaluating the use of synthetic T1-w images in new T2 lesion detection in multiple sclerosis
Frontiers in Neuroscience·2022· 10 citedOpen Access
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·2022· 46 citedOpen Access
Assessment of automatic decision-support systems for detecting active T2 lesions in multiple sclerosis patients
Multiple Sclerosis Journal·2021· 12 citedOpen Access
Assessing the Accuracy and Reproducibility of <scp>PARIETAL</scp>: A Deep Learning Brain Extraction Algorithm
Journal of Magnetic Resonance Imaging·2021· 12 citedOpen Access
Transductive Transfer Learning for Domain Adaptation in Brain Magnetic Resonance Image Segmentation
Frontiers in Neuroscience·2021· 15 citedOpen Access
Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors
Neuroinformatics·2021· 17 cited
Acute and sub-acute stroke lesion segmentation from multimodal MRI
Computer Methods and Programs in Biomedicine·2020· 8 citedOpen Access
El llarg i sinuós camí: accidents i bricolatge en l'estandardització del programari
Mètode: Revista de difusió de la investigació·2020
A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis
NeuroImage Clinical·2019· 74 citedOpen Access
Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks
Computers in Biology and Medicine·2019· 117 citedOpen Access
Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction
Scientific Reports·2019· 53 citedOpen Access
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
IEEE Transactions on Medical Imaging·2019· 289 citedOpen Access
Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging
IEEE Access·2019· 47 citedOpen Access
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)·2019· 154 cited
Multiple Sclerosis Lesion Synthesis in MRI Using an Encoder-Decoder U-NET
IEEE Access·2019· 7 citedOpen Access
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
NeuroImage Clinical·2018· 8 citedOpen Access
SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI.
arXiv (Cornell University)·2018· 8 citedOpen Access
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Frequent Co-authors

Xavier Lladó(39), Arnau Oliver(34), Mariano Cabezas(23), Àlex Rovira(20), Deborah Pareto(13), Lluís Ramió‐Torrentà(13), Joan C. Vilanova(12), Eloy Roura(11), Sandra González-Villà(9), Mostafa Salem(8), José Bernal(8), Albert Clèrigues(8), Joaquím Salví(7), Kaisar Kushibar(6), April Khademi(4), Jesse Knight(4), Richard McKinley(4), Jordi Freixenet(4), Olivier Commowick(3), Audrey Istace(3)