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2020 – today
- 2022
[i11]Lidia Garrucho, Kaisar Kushibar, Socayna Jouide, Oliver Díaz, Laura Igual, Karim Lekadir:
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study. CoRR abs/2201.11620 (2022)- [i10]Zuzanna Szafranowska, Richard Osuala, Bennet Breier, Kaisar Kushibar, Karim Lekadir, Oliver Díaz:
Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification. CoRR abs/2203.04961 (2022) - [i9]Kaisar Kushibar, Víctor Manuel Campello, Lidia Garrucho Moras, Akis Linardos, Petia Radeva, Karim Lekadir:
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. CoRR abs/2203.08878 (2022) - 2021
- [j4]José Bernal
, Sergi Valverde, Kaisar Kushibar, Mariano Cabezas, Arnau Oliver, Xavier Lladó:
Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors. Neuroinformatics 19(3): 477-492 (2021) - [i8]Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir:
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease. CoRR abs/2107.03901 (2021) - [i7]Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir:
A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions. CoRR abs/2107.09543 (2021) - [i6]Karim Lekadir, Richard Osuala, Catherine Gallin, Noussair Lazrak, Kaisar Kushibar, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Konstantinos Marias, Manolis Tsiknakis, Sara Colantonio, Nickolas Papanikolaou, Zohaib Salahuddin, Henry C. Woodruff, Philippe Lambin, Luis Martí-Bonmatí:
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging. CoRR abs/2109.09658 (2021)
2010 – 2019
- 2019
- [j3]José Bernal, Kaisar Kushibar, Mariano Cabezas, Sergi Valverde, Arnau Oliver, Xavier Lladó:
Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging. IEEE Access 7: 89986-90002 (2019) - [j2]José Bernal, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Martí, Xavier Lladó:
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review. Artif. Intell. Medicine 95: 64-81 (2019) - [i5]Paola Ardón, Kaisar Kushibar, Songyou Peng:
A Hybrid SLAM and Object Recognition System for Pepper Robot. CoRR abs/1903.00675 (2019) - 2018
- [j1]Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, José Bernal, Mariano Cabezas, Arnau Oliver, Xavier Lladó:
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features. Medical Image Anal. 48: 177-186 (2018) - [i4]José Bernal, Kaisar Kushibar, Mariano Cabezas, Sergi Valverde, Arnau Oliver, Xavier Lladó:
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging. CoRR abs/1801.06457 (2018) - [i3]Mariano Cabezas, Sergi Valverde, Sandra González-Villà, Albert Clérigues, Mostafa Salem, Kaisar Kushibar, José Bernal, Arnau Oliver, Xavier Lladó:
Survival prediction using ensemble tumor segmentation and transfer learning. CoRR abs/1810.04274 (2018) - 2017
- [i2]Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, José Bernal, Mariano Cabezas, Arnau Oliver, Xavier Lladó:
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features. CoRR abs/1709.09075 (2017) - [i1]José Bernal, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Marti, Xavier Lladó:
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review. CoRR abs/1712.03747 (2017)
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