Search research articles
Contact Us
Filters
Showing results (41-50 of 71) with videos related to
Page
of 8
Sort By:
Nature Ecology & Evolution
|
March 11, 2020
Coexistence of nestedness and modularity in host-pathogen infection networks
Sergi Valverde, Blai Vidiella, Raúl Montañez, et al.
Evolutionary Anthropology
|
November 14, 2023
Punctuated equilibrium at 50: Anything there for evolutionary anthropology? Yes; definitely
Michael J O'Brien, Sergi Valverde, Salva Duran-Nebreda, et al.
Frontiers in Neuroscience
|
May 17, 2021
Transductive Transfer Learning for Domain Adaptation in Brain Magnetic Resonance Image Segmentation
Kaisar Kushibar, Mostafa Salem, Sergi Valverde, et al.
Frontiers in Neuroscience
|
October 17, 2022
Evaluating the use of synthetic T1-w images in new T2 lesion detection in multiple sclerosis
Liliana Valencia, Albert Clèrigues, Sergi Valverde, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
August 8, 2009
Percolation in insect nest networks: evidence for optimal wiring
Sergi Valverde, Bernat Corominas-Murtra, Andrea Perna, et al.
Trends in Genetics : TIG
|
June 14, 2026
Rethinking molecular evolution through protein language model embeddings
Rosa Fernández, Sergi Valverde, Aureliano Bombarely, et al.
Scientific Reports
|
May 3, 2019
Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction
Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, et al.
Medical Image Analysis
|
June 24, 2018
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features
Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, et al.
Artificial Intelligence in Medicine
|
September 10, 2018
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
Jose Bernal, Kaisar Kushibar, Daniel S Asfaw, et al.
Neuroimage. Clinical
|
December 14, 2017
A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis
Mostafa Salem, Mariano Cabezas, Sergi Valverde, et al.
Page
of 8
Search research articles
Search
Showing results (41-50 of 71) with videos related to
Sort By:
Page
of 8
Nature Ecology & Evolution
|
March 11, 2020
Coexistence of nestedness and modularity in host-pathogen infection networks
Sergi Valverde, Blai Vidiella, Raúl Montañez, et al.
Evolutionary Anthropology
|
November 14, 2023
Punctuated equilibrium at 50: Anything there for evolutionary anthropology? Yes; definitely
Michael J O'Brien, Sergi Valverde, Salva Duran-Nebreda, et al.
Frontiers in Neuroscience
|
May 17, 2021
Transductive Transfer Learning for Domain Adaptation in Brain Magnetic Resonance Image Segmentation
Kaisar Kushibar, Mostafa Salem, Sergi Valverde, et al.
Frontiers in Neuroscience
|
October 17, 2022
Evaluating the use of synthetic T1-w images in new T2 lesion detection in multiple sclerosis
Liliana Valencia, Albert Clèrigues, Sergi Valverde, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
August 8, 2009
Percolation in insect nest networks: evidence for optimal wiring
Sergi Valverde, Bernat Corominas-Murtra, Andrea Perna, et al.
Trends in Genetics : TIG
|
June 14, 2026
Rethinking molecular evolution through protein language model embeddings
Rosa Fernández, Sergi Valverde, Aureliano Bombarely, et al.
Scientific Reports
|
May 3, 2019
Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction
Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, et al.
Medical Image Analysis
|
June 24, 2018
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features
Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, et al.
Artificial Intelligence in Medicine
|
September 10, 2018
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
Jose Bernal, Kaisar Kushibar, Daniel S Asfaw, et al.
Neuroimage. Clinical
|
December 14, 2017
A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis
Mostafa Salem, Mariano Cabezas, Sergi Valverde, et al.
Page
of 8