Ferran Prados

According to our database, Ferran Prados authored at least 29 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

On the role of metaheuristic optimization in bioinformatics.

Laura Calvet, Sergio Benito, Angel A. Juan, Ferran Prados

Int. Trans. Oper. Res., November, 2023

Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset.

Antonio Ricciardi, Francesco Grussu, Baris Kanber, Ferran Prados, Marios C. Yiannakas, Bhavana S. Solanky, Frank Riemer, Xavier Golay, Wallace Brownlee, Olga Ciccarelli, Daniel C. Alexander, Claudia A. M. Gandini Wheeler-Kingshott

Frontiers Neuroinformatics, March, 2023

Longitudinal Segmentation of Multiple Sclerosis Lesions Using nnU-Net Architecture.

Eloy Martínez-Heras, Francesc Vivó, Marcos Diaz-Hurtado, Baris Kanber, Jordi Casas-Roma, Sara Llufriu, Ferran Prados

Proceedings of the Artificial Intelligence Research and Development, 2023

Development of an Automated CBCT Nerve and Teeth Segmentation Tool Based on Deep Learning.

Vicent Caselles, Wenceslao Piedra, Jordi Casas, Xavier Paolo Burgos-Artizzu, Ferran Prados

Proceedings of the Artificial Intelligence Research and Development, 2023

A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation.

Francesco Galati, Daniele Falcetta, Rosa Cortese, Barbara Casolla, Ferran Prados, Ninon Burgos, Maria A. Zuluaga

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation.

Vien Ngoc Dang, Francesco Galati, Rosa Cortese, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Karim Lekadir, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga

Medical Image Anal., 2022

A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis.

Marta Gaviraghi, Antonio Ricciardi, Fulvia Palesi, Wallace Brownlee, Paolo Vitali, Ferran Prados, Baris Kanber, Claudia A. M. Gandini Wheeler-Kingshott

Frontiers Neuroinformatics, 2022

Reducing the Learning Domain by Using Image Processing to Diagnose COVID-19 from X-Ray Image.

Maider Abad, Jordi Casas-Roma, Ferran Prados

Proceedings of the Artificial Intelligence Research and Development, 2022

2021

Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation.

Vien Ngoc Dang, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Rosa Cortese, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga

CoRR, 2021

Image quality assessment for closed-loop computer-assisted lung ultrasound.

Zachary M. C. Baum, Ester Bonmati, Lorenzo Cristoni, Andrew Walden, Ferran Prados, Baris Kanber, Dean C. Barratt, David J. Hawkes, Geoff J. M. Parker, Claudia A. M. Gandini Wheeler-Kingshott, Yipeng Hu

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

2020

Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy.

Ferran Prados, Marcello Moccia, Aubrey Johnson, Marios C. Yiannakas, Francesco Grussu, Manuel Jorge Cardoso, Olga Ciccarelli, Sébastien Ourselin, Frederik Barkhof, Claudia A. M. Wheeler-Kingshott

NeuroImage, 2020

2019

Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis.

Baris Kanber, Parashkev Nachev, Frederik Barkhof, Alberto Calvi, Jorge Cardoso, Rosa Cortese, Ferran Prados, Carole H. Sudre, Carmen Tur, Sébastien Ourselin, Olga Ciccarelli

npj Digit. Medicine, 2019

High-dimensional detection of imaging response to treatment in multiple sclerosis.

Baris Kanber, Parashkev Nachev, Frederik Barkhof, Alberto Calvi, Jorge Cardoso, Rosa Cortese, Ferran Prados, Carole H. Sudre, Carmen Tur, Sébastien Ourselin, Olga Ciccarelli

npj Digit. Medicine, 2019

2018

A magnetic resonance multi-atlas for the neonatal rabbit brain.

Sebastiano Ferraris, Johannes L. van der Merwe, Lennart Van Der Veeken, Ferran Prados, Juan Eugenio Iglesias, Andrew Melbourne, Marco Lorenzi, Marc Modat, Willy Gsell, Jan Deprest, Tom Vercauteren

NeuroImage, 2018

Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging.

Michael Ebner, Karen K. Chung, Ferran Prados, M. Jorge Cardoso, Declan T. Chard, Tom Vercauteren, Sébastien Ourselin

NeuroImage, 2018

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.

Charley Gros, Benjamin De Leener, Atef Badji, Josefina Maranzano, Dominique Eden, Sara M. Dupont, Jason Talbott, Ren Zhuoquiong, Yaou Liu, Tobias Granberg, Russell Ouellette, Yasuhiko Tachibana, Masaaki Hori, Kouhei Kamiya, Lydia Chougar, Leszek Stawiarz, Jan Hillert, Elise Bannier, Anne Kerbrat, Gilles Edan, Pierre Labauge, Virginie Callot, Jean Pelletier, Bertrand Audoin, Henitsoa Rasoanandrianina, Jean-Christophe Brisset, Paola Valsasina, Maria Assunta Rocca, Massimo Filippi, Rohit Bakshi, Shahamat Tauhid, Ferran Prados, Marios C. Yiannakas, Hugh Kearney, Olga Ciccarelli, Seth A. Smith, Constantina Andrada Treaba, Caterina Mainero, Jennifer Lefeuvre, Daniel S. Reich, Govind Nair, Vincent Auclair, Donald G. McLaren, Allan R. Martin, Michael G. Fehlings, Shahabeddin Vahdat, Ali Khatibi, Julien Doyon, Timothy M. Shepherd, Erik Charlson, Sridar Narayanan, Julien Cohen-Adad

CoRR, 2018

2017

Spinal cord grey matter segmentation challenge.

Ferran Prados, John Ashburner, Claudia Blaiotta, Tom Brosch, Julio Carballido-Gamio, Manuel Jorge Cardoso, Benjamin N. Conrad, Esha Datta, Gergely Dávid, Benjamin De Leener, Sara M. Dupont, Patrick Freund, Claudia A. M. Gandini Wheeler-Kingshott, Francesco Grussu, Roland G. Henry, Bennett A. Landman, Emil Ljungberg, Bailey Lyttle, Sébastien Ourselin, Nico Papinutto, Salvatore Saporito, Regina Schlaeger, Seth A. Smith, Paul E. Summers, Roger C. Tam, Marios C. Yiannakas, Alyssa H. Zhu, Julien Cohen-Adad

NeuroImage, 2017

Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.

Aaron Carass, Snehashis Roy, Amod Jog, Jennifer L. Cuzzocreo, Elizabeth M. Sweeney, Adrian Gherman, Julia Button, James Nguyen, Ferran Prados, Carole H. Sudre, Manuel Jorge Cardoso, Niamh Cawley, Olga Ciccarelli, Claudia A. M. Wheeler-Kingshott, Sébastien Ourselin, Laurence Catanese, Hrishikesh Deshpande, Pierre Maurel, Olivier Commowick, Christian Barillot, Xavier Tomas-Fernandez

NeuroImage, 2017

2016

A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis.

Ferran Prados, Manuel Jorge Cardoso, Baris Kanber, Olga Ciccarelli, Raju Kapoor, Claudia A. M. Wheeler-Kingshott, Sébastien Ourselin

NeuroImage, 2016

Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting.

Ferran Prados, M. Jorge Cardoso, Niamh Cawley, Baris Kanber, Olga Ciccarelli, Claudia A. M. Wheeler-Kingshott, Sébastien Ourselin

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

2014

A Modality-Agnostic Patch-Based Technique for Lesion Filling in Multiple Sclerosis.

Ferran Prados, Manual Jorge Cardoso, David G. MacManus, Claudia A. M. Wheeler-Kingshott, Sébastien Ourselin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2012

Visualitzation and processing of diffusion tensor MRI.

Ferran Prados Carrasco

PhD thesis, 2012

Information-Theoretic Approach for Automated White Matter Fiber Tracts Reconstruction.

Ferran Prados, Imma Boada, Miquel Feixas, Alberto Prats-Galino, Gerard Blasco, Josep Puig, Salvador Pedraza

Neuroinformatics, 2012

2011

An automatic correction tool that can learn.

Ferran Prados, Josep Soler, Imma Boada, Jordi Poch

Proceedings of the 2011 Frontiers in Education Conference, 2011

2010

A Formative Assessment Tool for Conceptual Database Design Using UML Class Diagram.

Josep Soler, Imma Boada, Ferran Prados, Jordi Poch, Ramón Fabregat

Int. J. Emerg. Technol. Learn., 2010

2007

An Automatic Correction Tool for Relational Algebra Queries.

Josep Soler, Imma Boada, Ferran Prados, Jordi Poch, Ramón Fabregat

Proceedings of the Computational Science and Its Applications, 2007

DTIWeb: A Web-Based Framework for DTI Data Visualization and Processing.

Ferran Prados, Imma Boada, Miquel Feixas, Alberto Prats, Gerard Blasco, Salvador Pedraza, Josep Puig

Proceedings of the Computational Science and Its Applications, 2007

2006

A Web-Based Tool for Entity-Relationship Modeling.

Ferran Prados, Imma Boada, Josep Soler, Jordi Poch

Proceedings of the Computational Science and Its Applications, 2006

A Monte Carlo-Based Fiber Tracking Algorithm using Diffusion Tensor MRI.

Ferran Prados, Anton Bardera, Mateu Sbert, Imma Boada, Miquel Feixas

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006