Xavier Lladó

7.0k citations

130 papers · 4.1k indexed · 1 hit paper · h-index 33

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Medical Image Segmentation Techniques
- Optical measurement and interference techniques
- Advanced Neural Network Applications
- Advanced Vision and Imaging
Neurology top 1%
- Brain Tumor Detection and Classification

Papers in

Computer Vision and Pattern Recognition 86
- Medical Image Segmentation Techniques 48
- Advanced Vision and Imaging 16
- Image Retrieval and Classification Techniques 11
Media Technology 19
- Image Processing Techniques and Applications 16

Co-authors: Arnau Oliver Joaquím Salví Jordi Freixenet Mariano Cabezas Sergi Valverde Tomislav Pribanić Sergio Fernández Romero Robert Martí
Journals: NeuroImage Clinical (9 papers)Medical Image Analysis (5 papers)Computer Methods and Programs in Biomedicine (4 papers)Computerized Medical Imaging and Graphics (4 papers)Pattern Recognition (3 papers)
Partner nations: Spain United Kingdom France

In The Last Decade

Xavier Lladó

126 papers receiving 4.0k citations

Hit Papers

align trajectories log scale

A state of the art in structured light patterns for surface profilometry 2010 · 629 citations

Peers

Countries citing papers authored by Xavier Lladó

Since Specialization

Citations

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

Fields of papers citing papers by Xavier Lladó

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xavier Lladó. 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 Xavier Lladó. The network helps show where Xavier Lladó may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Xavier Lladó, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xavier Lladó Line = papers co-authored together Xavier Lladó links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

#	Work
1	Mitigating catastrophic forgetting in Multiple sclerosis lesion segmentation using elastic weight consolidation NeuroImage Clinical ·Mattia Giacomuzzi Trepiccione, Sergi Valverde, Àlex Rovira, Xavier Lladó	2025	1
2	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 ·Harpreet Kaur, N. P. Udeh, Mikel Terceño, Arnau Oliver, Yolanda Silva, Xavier Lladó	2024	7
3	Automatic Segmentation of Sylvian Fissure in Brain Ultrasound Images of Pre-Term Infants Using Deep Learning Models Ultrasound in Medicine & Biology ·Sara Chagas Abreu, Koichi Takayama, Pablo Elinbaum, Arnau Oliver, Xavier Lladó, Thaïs Agut	2024	0
4	Strategies to combine 3D vasculature and brain CTA with deep neural networks: Application to LVO iScience ·Kazbergenova A.V., Arnau Oliver, Sunil A. Sheth, Xavier Lladó, Luca Giancardo	2024	0
5	Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry Computerized Medical Imaging and Graphics ·Douglas Geovanni Cruz de Souza, Sergi Valverde, Joaquím Salví, Arnau Oliver, Xavier Lladó	2022	8
6	Transductive Transfer Learning for Domain Adaptation in Brain Magnetic Resonance Image Segmentation Frontiers in Neuroscience ·Kaisar Kushibar, Mostafa Salem, Sergi Valverde, Àlex Rovira, Joaquím Salví, Arnau Oliver, Xavier Lladó	2021	7
7	Quantitative comparison of subcortical and ventricular volumetry derived from MPRAGE and MP2RAGE images using different brain morphometry software Magnetic Resonance Materials in Physics Biology and Medicine ·Juli Alonso, Deborah Pareto, Manel Alberich, Tobias Kober, Bénédicte Maréchal, Xavier Lladó, Àlex Rovira	2021	2
8	Assessment of brain volumes obtained from MP-RAGE and MP2RAGE images, quantified using different segmentation methods Magnetic Resonance Materials in Physics Biology and Medicine ·Juli Alonso, Deborah Pareto, Manel Alberich, Tobias Kober, Bénédicte Maréchal, Xavier Lladó, Àlex Rovira	2020	3
9	Improving the detection of autism spectrum disorder by combining structural and functional MRI information NeuroImage Clinical ·Асем Ноябревна Шормакова, Mariano Cabezas, Kaisar Kushibar, Arnau Oliver, Xavier Lladó	2020	86
10	One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks 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	2019	104
11	Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks Computers in Biology and Medicine ·Douglas Geovanni Cruz de Souza, Sergi Valverde, José Bernal, Jordi Freixenet, Arnau Oliver, Xavier Lladó	2019	85
12	A Method for 6D Pose Estimation of Free-Form Rigid Objects Using Point Pair Features on Range Data Sensors ·Joel Vidal, Chyi‐Yeu Lin, Xavier Lladó, Robert Martí	2018	54
13	SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI. arXiv (Cornell University) ·Douglas Geovanni Cruz de Souza, Sergi Valverde, José Bernal, Jordi Freixenet, Arnau Oliver, Xavier Lladó	2018	5
14	Improved Automatic Detection of New T2 Lesions in Multiple Sclerosis Using Deformation Fields American Journal of Neuroradiology ·Mariano Cabezas, J Kohlhase, Arnau Oliver, Yago Díez, Mar Tintoré, Cristina Auger, Xavier Montalbán, Xavier Lladó, Deborah Pareto, Àlex Rovira	2016	27
15	Evaluating the Effects of White Matter Multiple Sclerosis Lesions on the Volume Estimation of 6 Brain Tissue Segmentation Methods American Journal of Neuroradiology ·Sergi Valverde, Arnau Oliver, Yago Díez, Mariano Cabezas, Joan C. Vilanova, Lluís Ramió‐Torrentà, Àlex Rovira, Xavier Lladó	2015	14
16	Automatic multiple sclerosis lesion detection in brain MRI by FLAIR thresholding Computer Methods and Programs in Biomedicine ·Mariano Cabezas, Arnau Oliver, Eloy Roura, Jordi Freixenet, Joan C. Vilanova, Lluís Ramió‐Torrentà, Àlex Rovira, Xavier Lladó	2014	34
17	BOOST: A supervised approach for multiple sclerosis lesion segmentation Journal of Neuroscience Methods ·Mariano Cabezas, Arnau Oliver, Sergi Valverde, RossJohn Langley, Jordi Freixenet, Joan C. Vilanova, Lluís Ramió‐Torrentà, Àlex Rovira, Xavier Lladó	2014	29
18	A white matter lesion-filling approach to improve brain tissue volume measurements NeuroImage Clinical ·Sergi Valverde, Arnau Oliver, Xavier Lladó	2014	54
19	MamoDB:a web-based tool for training radiologists in the diagnosis of digital mammography Joan Martı́, Pablo Elinbaum, Xavier Lladó, Arnau Oliver	2011	2
20	Linking research and teaching through an applied computer vision course International journal of engineering education ·Xavier Lladó, Jordi Freixenet, Arnau Oliver	2010	1

About Xavier Lladó

Xavier Lladó is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Neurology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 130 papers that have together received 4.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (48 papers), AI in cancer detection (25 papers), Multiple Sclerosis Research Studies (18 papers), Robotics and Sensor-Based Localization (17 papers), Advanced Vision and Imaging (16 papers), Image Processing Techniques and Applications (16 papers), Brain Tumor Detection and Classification (14 papers) and Image Retrieval and Classification Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Neurology (701 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Media Technology (420 citations) and Geology (251 citations). Xavier Lladó has collaborated with scholars based in Spain, United Kingdom and France. Frequent co-authors include Arnau Oliver, Joaquím Salví, Jordi Freixenet, Mariano Cabezas, Sergi Valverde, Tomislav Pribanić, Sergio Fernández Romero, Robert Martí, Joan C. Vilanova and Àlex Rovira. Their work appears in journals such as NeuroImage Clinical, Medical Image Analysis, Computer Methods and Programs in Biomedicine, Computerized Medical Imaging and Graphics and Pattern Recognition.

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