default search action
Ferran Prados
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j16]Marta Gaviraghi
, Antonio Ricciardi, Fulvia Palesi, Wallace Brownlee
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps. Frontiers Neuroinformatics 18 (2024) - [j15]Ludovico Luchetti
Evaluation of cervical spinal cord atrophy using a modified SIENA approach. NeuroImage 298: 120775 (2024) - [c15]Marcos Diaz-Hurtado
Temporal-Invariant Segmentation of Multiple Sclerosis Lesions Using Generative Models. CCIA 2024: 52-53 - [c14]Ander Elkoroaristizabal, Francesc Vivó
Multiclass Lesion Detection Using Longitudinal MRI in Multiple Sclerosis. CCIA 2024: 113-121 - [c13]Francesco Galati, Rosa Cortese, Ferran Prados, Marco Lorenzi, Maria A. Zuluaga:
Federated Multi-centric Image Segmentation with Uneven Label Distribution. MICCAI (10) 2024: 350-360 - 2023
- [j14]Antonio Ricciardi, Francesco Grussu
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset. Frontiers Neuroinformatics 17 (2023) - [j13]Laura Calvet
On the role of metaheuristic optimization in bioinformatics. Int. Trans. Oper. Res. 30(6): 2909-2944 (2023) - [c12]Francesco Galati, Daniele Falcetta, Rosa Cortese, Barbara Casolla, Ferran Prados, Ninon Burgos, Maria A. Zuluaga:
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation. BMVC 2023: 750-751 - [c11]Vicent Caselles
Development of an Automated CBCT Nerve and Teeth Segmentation Tool Based on Deep Learning. CCIA 2023: 136-137 - [c10]Eloy Martínez-Heras
Longitudinal Segmentation of Multiple Sclerosis Lesions Using nnU-Net Architecture. CCIA 2023: 163-172 - [i4]Francesco Galati, Daniele Falcetta, Rosa Cortese, Barbara Casolla, Ferran Prados, Ninon Burgos, Maria A. Zuluaga:
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation. CoRR abs/2309.06075 (2023) - 2022
- [j12]Marta Gaviraghi
A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis. Frontiers Neuroinformatics 16 (2022) - [j11]Vien Ngoc Dang
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation. Medical Image Anal. 75: 102263 (2022) - [c9]Maider Abad, Jordi Casas-Roma
Reducing the Learning Domain by Using Image Processing to Diagnose COVID-19 from X-Ray Image. CCIA 2022: 229-238 - 2021
- [c8]Zachary M. C. Baum
Image quality assessment for closed-loop computer-assisted lung ultrasound. Medical Imaging: Image-Guided Procedures 2021 - [i3]Vien Ngoc Dang, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Rosa Cortese, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga:
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation. CoRR abs/2101.09321 (2021) - 2020
- [j10]Ferran Prados
Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy. NeuroImage 209: 116489 (2020) - [i2]Zachary M. C. Baum, Ester Bonmati, Lorenzo Cristoni, Andrew Walden, Ferran Prados, Baris Kanber, Dean C. Barratt, David J. Hawkes, Geoffrey J. M. Parker, Claudia A. M. Gandini Wheeler-Kingshott, Yipeng Hu:
Image quality assessment for closed-loop computer-assisted lung ultrasound. CoRR abs/2008.08840 (2020)
2010 – 2019
- 2019
- [j9]Baris Kanber, Parashkev Nachev, Frederik Barkhof
High-dimensional detection of imaging response to treatment in multiple sclerosis. npj Digit. Medicine 2 (2019) - [j8]Baris Kanber, Parashkev Nachev, Frederik Barkhof, Alberto Calvi, Jorge Cardoso, Rosa Cortese, Ferran Prados
Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis. npj Digit. Medicine 2 (2019) - 2018
- [j7]Michael Ebner
Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging. NeuroImage 165: 238-250 (2018) - [j6]Sebastiano Ferraris, Johannes L. van der Merwe
A magnetic resonance multi-atlas for the neonatal rabbit brain. NeuroImage 179: 187-198 (2018) - [i1]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:
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. CoRR abs/1805.06349 (2018) - 2017
- [j5]Aaron Carass
Longitudinal multiple sclerosis lesion segmentation: Resource and challenge. NeuroImage 148: 77-102 (2017) - [j4]Ferran Prados
Spinal cord grey matter segmentation challenge. NeuroImage 152: 312-329 (2017) - 2016
- [j3]Ferran Prados
A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis. NeuroImage 139: 376-384 (2016) - [c7]Ferran Prados
Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting. BrainLes@MICCAI 2016: 3-15 - 2014
- [c6]Ferran Prados
A Modality-Agnostic Patch-Based Technique for Lesion Filling in Multiple Sclerosis. MICCAI (2) 2014: 781-788 - 2012
- [b1]Ferran Prados Carrasco:
Visualitzation and processing of diffusion tensor MRI. University of Girona, Spain, 2012 - [j2]Ferran Prados
Information-Theoretic Approach for Automated White Matter Fiber Tracts Reconstruction. Neuroinformatics 10(3): 305-318 (2012) - 2011
- [c5]Ferran Prados
An automatic correction tool that can learn. FIE 2011: 1 - 2010
- [j1]Josep Soler, Imma Boada
A Formative Assessment Tool for Conceptual Database Design Using UML Class Diagram. Int. J. Emerg. Technol. Learn. 5(3): 27-33 (2010)
2000 – 2009
- 2007
- [c4]Ferran Prados
DTIWeb: A Web-Based Framework for DTI Data Visualization and Processing. ICCSA (2) 2007: 727-740 - [c3]Josep Soler, Imma Boada, Ferran Prados
An Automatic Correction Tool for Relational Algebra Queries. ICCSA (2) 2007: 861-872 - 2006
- [c2]Ferran Prados
A Monte Carlo-Based Fiber Tracking Algorithm using Diffusion Tensor MRI. CBMS 2006: 353-358 - [c1]Ferran Prados
A Web-Based Tool for Entity-Relationship Modeling. ICCSA (1) 2006: 364-372
Coauthor Index
aka: Claudia A. M. Wheeler-Kingshott
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 21:35 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: