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Author
Title
Year
Publication
Volume
Pages
Links
Patricia Marquez
Conditions Ensuring Accuracy of Local Optical Flow Schemes
2010
CVC Tehcnical Report
157
Sergio Vera
Finger joint modelling from hand X-ray images for assessing rheumatoid arthritis
2010
CVC Technical Report
164
Joan M. Nuñez
Computer vision techniques for characterization of finger joints in X-ray image
2011
CVC Technical Report
165
Carles Sanchez
Tracheal ring detection in bronchoscopy
2011
CVC Technical Report
168
David Roche; Debora Gil; Jesus Giraldo
Mechanistic analysis of the function of agonists and allosteric modulators: Reconciling two-state and operational models
2013
British Journal of Pharmacology
169
1189-202
Francesco Brughi
Artistic Heritage Motive Retrieval: an Explorative Study
2013
CVC Technical Report
176
Antonio Esteban Lansaque
3D reconstruction and recognition using structured ligth
2014
CVC Technical Report
179
Juan Borrego-Carazo; Carles Sanchez; David Castells; Jordi Carrabina; Debora Gil
BronchoPose: an analysis of data and model configuration for vision-based bronchoscopy pose estimation
2023
Computer Methods and Programs in Biomedicine
228
107241
Marta Ligero; Alonso Garcia Ruiz; Cristina Viaplana; Guillermo Villacampa; Maria V Raciti; Jaid Landa; Ignacio Matos; Juan Martin Liberal; Maria Ochoa de Olza; Cinta Hierro; Joaquin Mateo; Macarena Gonzalez; Rafael Morales Barrera; Cristina Suarez; Jordi Rodon; Elena Elez; Irene Braña; Eva Muñoz-Couselo; Ana Oaknin; Roberta Fasani; Paolo Nuciforo; Debora Gil; Carlota Rubio Perez; Joan Seoane; Enriqueta Felip; Manuel Escobar; Josep Tabernero; Joan Carles; Rodrigo Dienstmann; Elena Garralda; Raquel Perez Lopez
A CT-based radiomics signature is associated with response to immune checkpoint inhibitors in advanced solid tumors
2021
Radiology
299
109-119
Jose Elias Yauri; Aura Hernandez-Sabate; Pau Folch; Debora Gil
Mental Workload Detection Based on EEG Analysis
2021
Artificial Intelligent Research and Development. Proceedings 23rd International Conference of the Catalan Association for Artificial Intelligence.
339
268-277
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