Sergi Valverde

2.4k total citations
29 papers, 1.2k citations indexed

About

Sergi Valverde is a scholar working on Computer Vision and Pattern Recognition, Neurology and Pathology and Forensic Medicine. According to data from OpenAlex, Sergi Valverde has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 11 papers in Neurology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Sergi Valverde's work include Medical Image Segmentation Techniques (18 papers), Brain Tumor Detection and Classification (11 papers) and Multiple Sclerosis Research Studies (9 papers). Sergi Valverde is often cited by papers focused on Medical Image Segmentation Techniques (18 papers), Brain Tumor Detection and Classification (11 papers) and Multiple Sclerosis Research Studies (9 papers). Sergi Valverde collaborates with scholars based in Spain, Egypt and Palestinian Territory. Sergi Valverde's co-authors include Arnau Oliver, Xavier Lladó, Mariano Cabezas, Àlex Rovira, Deborah Pareto, Sandra González-Villà, Joan C. Vilanova, Lluís Ramió‐Torrentà, Eloy Roura and José Bernal and has published in prestigious journals such as NeuroImage, Scientific Reports and IEEE Access.

In The Last Decade

Sergi Valverde

29 papers receiving 1.2k citations

Peers

Countries citing papers authored by Sergi Valverde

Since Specialization

Citations

This map shows the geographic impact of Sergi Valverde's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sergi Valverde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergi Valverde more than expected).

Fields of papers citing papers by Sergi Valverde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergi Valverde. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sergi Valverde. The network helps show where Sergi Valverde may publish in the future.

Co-authorship network of co-authors of Sergi Valverde

This figure shows the co-authorship network connecting the top 25 collaborators of Sergi Valverde. A scholar is included among the top collaborators of Sergi Valverde based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sergi Valverde. Sergi Valverde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Mitigating catastrophic forgetting in Multiple sclerosis lesion segmentation using elastic weight consolidation 2025 ·NeuroImage Clinical ·(unknown), Sergi Valverde, Àlex Rovira, Xavier Lladó	1
2	Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry 2022 ·Computerized Medical Imaging and Graphics ·(unknown), Sergi Valverde, Joaquím Salví, Arnau Oliver, Xavier Lladó	8
3	Evaluating the use of synthetic T1-w images in new T2 lesion detection in multiple sclerosis 2022 ·Frontiers in Neuroscience ·(unknown), (unknown), Sergi Valverde, Mostafa Salem, Arnau Oliver, Àlex Rovira, Xavier Lladó	7
4	Transductive Transfer Learning for Domain Adaptation in Brain Magnetic Resonance Image Segmentation 2021 ·Frontiers in Neuroscience ·Kaisar Kushibar, Mostafa Salem, Sergi Valverde, Àlex Rovira, Joaquím Salví, Arnau Oliver, Xavier Lladó	7
5	One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks 2019 ·LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) ·Sergi Valverde, Mostafa Salem, Mariano Cabezas, Deborah Pareto, Joan C. Vilanova, Lluís Ramió‐Torrentà, Àlex Rovira, Joaquím Salví, Arnau Oliver, Xavier Lladó	104
6	Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks 2019 ·Computers in Biology and Medicine ·(unknown), Sergi Valverde, José Bernal, Jordi Freixenet, Arnau Oliver, Xavier Lladó	85
7	A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis 2019 ·NeuroImage Clinical ·Mostafa Salem, Sergi Valverde, Mariano Cabezas, Deborah Pareto, Arnau Oliver, Joaquím Salví, Àlex Rovira, Xavier Lladó	56
8	Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction 2019 ·Scientific Reports ·Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, José Bernal, Mariano Cabezas, Arnau Oliver, Xavier Lladó	29
9	SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI. 2018 ·arXiv (Cornell University) ·(unknown), Sergi Valverde, José Bernal, Jordi Freixenet, Arnau Oliver, Xavier Lladó	5
10	Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features 2018 ·Medical Image Analysis ·Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, José Bernal, Mariano Cabezas, Arnau Oliver, Xavier Lladó	84
11	A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis 2017 ·NeuroImage Clinical ·Mostafa Salem, Mariano Cabezas, Sergi Valverde, Deborah Pareto, Arnau Oliver, Joaquím Salví, Àlex Rovira, Xavier Lladó	43
12	Evaluating the effect of multiple sclerosis lesions on automatic brain structure segmentation 2017 ·NeuroImage Clinical ·Sandra González-Villà, Sergi Valverde, Mariano Cabezas, Deborah Pareto, Joan C. Vilanova, Lluís Ramió‐Torrentà, Àlex Rovira, Arnau Oliver, Xavier Lladó	19
13	Automated tissue segmentation of MR brain images in the presence of white matter lesions 2016 ·Medical Image Analysis ·Sergi Valverde, Arnau Oliver, Eloy Roura, Sandra González-Villà, Deborah Pareto, Joan C. Vilanova, Lluís Ramió‐Torrentà, Àlex Rovira, Xavier Lladó	47
14	Automated Detection of Lupus White Matter Lesions in MRI 2016 ·Frontiers in Neuroinformatics ·Eloy Roura, Nicolae Sârbu, Arnau Oliver, Sergi Valverde, Sandra González-Villà, Ricard Cervera, Núria Bargalló, Xavier Lladó	16
15	Evaluating the Effects of White Matter Multiple Sclerosis Lesions on the Volume Estimation of 6 Brain Tissue Segmentation Methods 2015 ·American Journal of Neuroradiology ·Sergi Valverde, Arnau Oliver, Yago Díez, Mariano Cabezas, Joan C. Vilanova, Lluís Ramió‐Torrentà, Àlex Rovira, Xavier Lladó	14
16	Quantifying brain tissue volume in multiple sclerosis with automated lesion segmentation and filling 2015 ·NeuroImage Clinical ·Sergi Valverde, Arnau Oliver, Eloy Roura, Deborah Pareto, Joan C. Vilanova, Lluís Ramió‐Torrentà, Jaume Sastre‐Garriga, Xavier Montalbán, Àlex Rovira, Xavier Lladó	23
17	BOOST: A supervised approach for multiple sclerosis lesion segmentation 2014 ·Journal of Neuroscience Methods ·Mariano Cabezas, Arnau Oliver, Sergi Valverde, (unknown), Jordi Freixenet, Joan C. Vilanova, Lluís Ramió‐Torrentà, Àlex Rovira, Xavier Lladó	29
18	A white matter lesion-filling approach to improve brain tissue volume measurements 2014 ·NeuroImage Clinical ·Sergi Valverde, Arnau Oliver, Xavier Lladó	54
19	Intensity Based Methods for Brain MRI Longitudinal Registration. A Study on Multiple Sclerosis Patients 2013 ·Neuroinformatics ·Yago Díez, Arnau Oliver, Mariano Cabezas, Sergi Valverde, Robert Martí, Joan C. Vilanova, Lluís Ramió‐Torrentà, Àlex Rovira, Xavier Lladó	12
20	RADIOLOGÍA ORIGINALESManifestaciones radiológicas del condroblastomaImaging findings in chondroblastoma 2008 ·Radiología ·(unknown), Jaume Llauger, (unknown), Sergi Valverde, Sílvia Bagué	5

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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