The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Joaquim Salvi sits on this spectrum.
This scientist: 159 publications — 30th percentile
30% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Joaquim Salvi sits on this spectrum.
This scientist: 39 D-Index — 33rd percentile
33% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Joaquim Salvi is affiliated with the University of Girona in Spain and has contributed extensively to research at the intersection of medicine and computer science. Their work predominantly centers on neurology and medical imaging, with a significant focus on brain-related conditions and computational methods to support diagnosis and treatment.
Their research spans a range of topics that include brain tumor detection and classification, medical image segmentation techniques, and intracerebral and subarachnoid hemorrhage research. Additional areas of their academic interest cover acute ischemic stroke management, COVID-19 diagnosis using artificial intelligence, domain adaptation and few-shot learning, and advanced neuroimaging techniques and applications.
Joaquim Salvi has published in several peer-reviewed venues, with multiple papers appearing in the SSRN Electronic Journal. Their work also appears in Frontiers in Neuroscience, Computerized Medical Imaging and Graphics, Machine Vision and Applications, and Applied Sciences.
Frequent collaborators include Arnau Oliver, Xavier Lladó, Valeriia Abramova, Sergi Valverde, and Albert Clèrigues, illustrating a collaborative research network across various specialties within medical imaging and AI applications.
Notable recent publications by Joaquim Salvi include:
Their publication record reflects integration of advanced computational methods such as deep learning and domain adaptation in addressing clinical challenges related to brain imaging and diagnosis. The collaboration with specialists in artificial intelligence and radiology emphasizes the interdisciplinary nature of their research.
Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer
Joaquim Salvi;Jordi Pagès;Joan Batlle
Joaquim Salvi;Sergio Fernandez;Tomislav Pribanic;Xavier Llado
Joaquim Salvi;Carles Matabosch;David Fofi;Josep Forest
M. Bigas;E. Cabruja;J. Salvi
Joaquim Salvi;Xavier Armangué;Joan Batlle
Joan Batlle;El Mustapha Mouaddib;Joaquim Salvi
Josep Aulinas;Yvan Petillot;Joaquim Salvi;Xavier Lladó
Xavier Armangué;Joaquim Salvi
J. Salvi;J. Batlle;E. Mouaddib
Jordi Pagès;Joaquim Salvi;Christophe Collewet;Josep Forest
J. Pages;J. Salvi;R. Garcia;C. Matabosch
Sergi Valverde;Mostafa Salem;Mariano Cabezas;Deborah Pareto
Natília Hurtós;David Ribas;Xavier Cufí;Yvan Petillot
E. Mouaddib;J. Batlle;J. Salvi
J. Salvi;E. Cabruja;C. Pous
Yago Díez;Ferran Roure;Xavier Lladó;Joaquim Salvi
Chee Sing Lee;Daniel E. Clark;Joaquim Salvi
Tomislav Pribanić;Saša Mrvoš;Joaquim Salvi
Natalia Hurtos;Xavier Cuf;Yvan Petillot;Joaquim Salvi
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