Sandra González-Villà

896 total citations
11 papers, 551 citations indexed

About

Sandra González-Villà is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Sandra González-Villà has authored 11 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Neurology. Recurrent topics in Sandra González-Villà's work include Medical Image Segmentation Techniques (7 papers), Brain Tumor Detection and Classification (4 papers) and Multiple Sclerosis Research Studies (3 papers). Sandra González-Villà is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Brain Tumor Detection and Classification (4 papers) and Multiple Sclerosis Research Studies (3 papers). Sandra González-Villà collaborates with scholars based in Spain, United States and Germany. Sandra González-Villà's co-authors include Arnau Oliver, Xavier Lladó, Sergi Valverde, Mariano Cabezas, Eloy Roura, Joan C. Vilanova, Deborah Pareto, Àlex Rovira, Lluís Ramió‐Torrentà and José Bernal and has published in prestigious journals such as NeuroImage, Scientific Reports and Medical Image Analysis.

In The Last Decade

Sandra González-Villà

11 papers receiving 537 citations

Peers

Countries citing papers authored by Sandra González-Villà

Since Specialization

Citations

This map shows the geographic impact of Sandra González-Villà'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 Sandra González-Villà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra González-Villà more than expected).

Fields of papers citing papers by Sandra González-Villà

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra González-Villà. 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 Sandra González-Villà. The network helps show where Sandra González-Villà may publish in the future.

Co-authorship network of co-authors of Sandra González-Villà

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra González-Villà. A scholar is included among the top collaborators of Sandra González-Villà 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 Sandra González-Villà. Sandra González-Villà is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

#	Work	Indexed citations
1	Integrating generative AI with ABCDE rule analysis for enhanced skin cancer diagnosis, dermatologist training and patient education 2024 ·Frontiers in Medicine ·(unknown), Sandra González-Villà, Josep Quintana, (unknown), Rafael García, Bernhard Roth	2
2	A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification 2024 ·Frontiers in Medicine ·Clare Primiero, Brigid Betz‐Stablein, (unknown), B D'Alessandro, (unknown), (unknown), (unknown), Sandra González-Villà, Katie Lee, (unknown), (unknown), (unknown), (unknown), (unknown), Josep Quintana, Susana Puig, Gisele Gargantini Rezze, Rafael García, H. Peter Soyer, Josep Malvehy	4
3	A fully automated pipeline for brain structure segmentation in multiple sclerosis 2020 ·NeuroImage Clinical ·Sandra González-Villà, Arnau Oliver, Yuankai Huo, Xavier Lladó, Bennett A. Landman	4
4	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
5	Brain structure segmentation in the presence of multiple sclerosis lesions 2019 ·NeuroImage Clinical ·Sandra González-Villà, Arnau Oliver, Yuankai Huo, Xavier Lladó, Bennett A. Landman	15
6	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
7	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
8	Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach 2017 ·NeuroImage ·Sergi Valverde, Mariano Cabezas, Eloy Roura, Sandra González-Villà, Deborah Pareto, Joan C. Vilanova, Lluís Ramió‐Torrentà, Àlex Rovira, Arnau Oliver, Xavier Lladó	244
9	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
10	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
11	A review on brain structures segmentation in magnetic resonance imaging 2016 ·Artificial Intelligence in Medicine ·Sandra González-Villà, Arnau Oliver, Sergi Valverde, Liping Wang, Reyer Zwiggelaar, Xavier Lladó	87

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.

Explore authors with similar magnitude of impact