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ORCIDJosé V. Manjón
José Vicente Manjón
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2020 – today
- 2024
[j30]Javier Gurrola-Ramos
, Teresa E. Alarcón, Oscar S. Dalmau, José V. Manjón:
MRI Rician Noise Reduction Using Recurrent Convolutional Neural Networks. IEEE Access 12: 128272-128284 (2024)- [i12]Marina Ruiz-Perez, Sergio Morell-Ortega, Marien Gadea, Roberto Vivó Hernando, Gregorio Rubio, Fernando Aparici-Robles, María de la Iglesia-Vayá, Thomas Tourdias, Pierrick Coupé, José V. Manjón:
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI. CoRR abs/2401.07751 (2024) - [i11]Sergio Morell-Ortega, Marina Ruiz-Perez, Marien Gadea, Roberto Vivó Hernando, Gregorio Rubio, Fernando Aparici-Robles, María de la Iglesia-Vayá, Gwenaelle Catheline, Pierrick Coupé, José V. Manjón:
DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI. CoRR abs/2401.12074 (2024) - 2022
- [j29]José V. Manjón, José E. Romero, Roberto Vivó Hernando, Gregorio Rubio, Fernando Aparici-Robles, María de la Iglesia-Vayá, Pierrick Coupé:
vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis. Frontiers Neuroinformatics 16: 862805 (2022) - [j28]Reda Abdellah Kamraoui, Vinh-Thong Ta, Thomas Tourdias, Boris Mansencal, José V. Manjón, Pierrick Coupé:
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation. Medical Image Anal. 76: 102312 (2022) - [i10]Reda Abdellah Kamraoui, Boris Mansencal, José V. Manjón, Pierrick Coupé:
Longitudinal detection of new MS lesions using Deep Learning. CoRR abs/2206.08272 (2022) - 2021
- [j27]Kilian Hett, Vinh-Thong Ta, Ipek Oguz, José V. Manjón, Pierrick Coupé:
Multi-scale graph-based grading for Alzheimer's disease prediction. Medical Image Anal. 67: 101850 (2021) - [c21]Reda Abdellah Kamraoui, Vinh-Thong Ta, Nicolas Papadakis, Fanny Compaire, José V. Manjón, Pierrick Coupé:
POPCORN: Progressive Pseudo-Labeling with Consistency Regularization and Neighboring. MICCAI (2) 2021: 373-382 - [i9]Reda Abdellah Kamraoui, Vinh-Thong Ta, Nicolas Papadakis, Fanny Compaire, José V. Manjón, Pierrick Coupé:
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring. CoRR abs/2109.06361 (2021) - 2020
- [j26]Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón:
AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation. NeuroImage 219: 117026 (2020) - [c20]José V. Manjón, José E. Romero, Roberto Vivó Hernando, Gregorio Rubio, Fernando Aparici-Robles, María de la Iglesia-Vayá, Thomas Tourdias, Pierrick Coupé:
Blind MRI Brain Lesion Inpainting Using Deep Learning. SASHIMI@MICCAI 2020: 41-49 - [i8]Baudouin Denis de Senneville, José V. Manjón, Pierrick Coupé:
RegQCNET: Deep Quality Control for Image-to-template Brain MRI Registration. CoRR abs/2005.06835 (2020) - [i7]Reda Abdellah Kamraoui, Vinh-Thong Ta, Thomas Tourdias, Boris Mansencal, José V. Manjón, Pierrick Coupé:
Towards broader generalization of deep learning methods for multiple sclerosis lesion segmentation. CoRR abs/2012.07950 (2020)
2010 – 2019
- 2019
- [c19]Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón:
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation. MICCAI (3) 2019: 466-474 - [i6]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, D. Louis Collins, Pierrick Coupé, Alzheimer's Disease Neuroimaging Initiative:
An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion. CoRR abs/1903.07165 (2019) - [i5]Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón:
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation. CoRR abs/1906.01862 (2019) - [i4]Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé:
Multi-scale Graph-based Grading for Alzheimer's Disease Prediction. CoRR abs/1907.06625 (2019) - [i3]José V. Manjón, Pierrick Coupé:
MRI denoising using Deep Learning and Non-local averaging. CoRR abs/1911.04798 (2019) - [i2]Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón:
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation. CoRR abs/1911.09098 (2019) - 2018
- [j25]José V. Manjón, Pierrick Coupé, Parnesh Raniga, Ying Xia, Patricia M. Desmond, Jurgen Fripp, Olivier Salvado:
MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting. Comput. Medical Imaging Graph. 69: 43-51 (2018) - [j24]Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé, Alzheimer's Disease Neuroimaging Initiative:
Adaptive fusion of texture-based grading for Alzheimer's disease classification. Comput. Medical Imaging Graph. 70: 8-16 (2018) - [j23]José E. Romero, Pierrick Coupé, José V. Manjón:
Corrigendum to "HIPS: A new hippocampus subfield segmentation method" [NeuroImage 163 (2017) 286-295]. NeuroImage 172: 914 (2018) - [j22]Aaron Carass, Jennifer L. Cuzzocreo, Shuo Han, Carlos R. Hernandez-Castillo, Paul E. Rasser, Melanie Ganz, Vincent Beliveau, Jose Dolz, Ismail Ben Ayed, Christian Desrosiers, Benjamin Thyreau, José E. Romero, Pierrick Coupé, José V. Manjón, Vladimir S. Fonov, D. Louis Collins, Sarah H. Ying, Chiadi U. Onyike, Jerry L. Prince:
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. NeuroImage 183: 150-172 (2018) - [c18]José V. Manjón, Pierrick Coupé:
MRI Denoising Using Deep Learning. Patch-MI@MICCAI 2018: 12-19 - [c17]Lee B. Reid, Ashley Gillman, Alex M. Pagnozzi, José V. Manjón, Jurgen Fripp:
MRI Denoising and Artefact Removal Using Self-Organizing Maps for Fast Global Block-Matching. Patch-MI@MICCAI 2018: 20-27 - [c16]Pierrick Coupé, Thomas Tourdias, Pierre Linck, José E. Romero, José V. Manjón:
LesionBrain: An Online Tool for White Matter Lesion Segmentation. Patch-MI@MICCAI 2018: 95-103 - [c15]Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé:
Graph of Hippocampal Subfields Grading for Alzheimer's Disease Prediction. MLMI@MICCAI 2018: 259-266 - [c14]Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé:
Graph of Brain Structures Grading for Early Detection of Alzheimer's Disease. MICCAI (3) 2018: 429-436 - [i1]Kilian Hett, Vinh-Thong Ta, José Vicente Manjón, Pierrick Coupé:
Graph of brain structures grading for early detection of Alzheimer's disease. CoRR abs/1807.03173 (2018) - 2017
- [j21]Long Xie, John Pluta, Sandhitsu R. Das, Laura E. M. Wisse, Hongzhi Wang, Lauren Mancuso, Dasha Kliot, Brian B. Avants, Song-Lin Ding, José V. Manjón, David A. Wolk, Paul A. Yushkevich:
Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability. NeuroImage 144: 183-202 (2017) - [j20]José E. Romero, Pierrick Coupé, Rémi Giraud, Vinh-Thong Ta, Vladimir S. Fonov, Min Tae M. Park, M. Mallar Chakravarty, Aristotle N. Voineskos, José V. Manjón:
CERES: A new cerebellum lobule segmentation method. NeuroImage 147: 916-924 (2017) - [j19]José E. Romero, Pierrick Coupé, José V. Manjón:
HIPS: A new hippocampus subfield segmentation method. NeuroImage 163: 286-295 (2017) - [c13]Ying Xia, José V. Manjón, Craig Engstrom, Stuart Crozier, Olivier Salvado, Jurgen Fripp:
Automated cartilage segmentation from 3D MR images of hip joint using an ensemble of neural networks. ISBI 2017: 1070-1073 - [c12]José V. Manjón, Pierrick Coupé:
Hippocampus Subfield Segmentation Using a Patch-Based Boosted Ensemble of Autocontext Neural Networks. Patch-MI@MICCAI 2017: 29-36 - [c11]Gerard Sanroma, Víctor Andrea, Oualid M. Benkarim, José V. Manjón, Pierrick Coupé, Oscar Camara, Gemma Piella, Miguel Ángel González Ballester:
Early Prediction of Alzheimer's Disease with Non-local Patch-Based Longitudinal Descriptors. Patch-MI@MICCAI 2017: 74-81 - [c10]Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé:
Adaptive Fusion of Texture-Based Grading: Application to Alzheimer's Disease Detection. Patch-MI@MICCAI 2017: 82-89 - 2016
- [j18]Erhard T. Næss-Schmidt, Anna Tietze, Jakob Udby Blicher, Mikkel V. Petersen, Irene K. Mikkelsen, Pierrick Coupé, José V. Manjón, Simon F. Eskildsen:
Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantification. Int. J. Comput. Assist. Radiol. Surg. 11(11): 1979-1991 (2016) - [j17]José V. Manjón, Pierrick Coupé:
volBrain: An Online MRI Brain Volumetry System. Frontiers Neuroinformatics 10: 30 (2016) - [j16]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, D. Louis Collins, Pierrick Coupé:
An Optimized PatchMatch for multi-scale and multi-feature label fusion. NeuroImage 124: 770-782 (2016) - [c9]José E. Romero, Pierrick Coupé, José V. Manjón:
Non-local MRI Library-Based Super-Resolution: Application to Hippocampus Subfield Segmentation. Patch-MI@MICCAI 2016: 68-75 - [c8]Kilian Hett, Vinh-Thong Ta, Rémi Giraud, Mary Mondino, José V. Manjón, Pierrick Coupé:
Patch-Based DTI Grading: Application to Alzheimer's Disease Classification. Patch-MI@MICCAI 2016: 76-83 - [c7]José V. Manjón, Pierrick Coupé, Parnesh Raniga, Ying Xia, Jurgen Fripp, Olivier Salvado:
HIST: HyperIntensity Segmentation Tool. Patch-MI@MICCAI 2016: 92-99 - [c6]José E. Romero, Pierrick Coupé, José V. Manjón:
High Resolution Hippocampus Subfield Segmentation Using Multispectral Multiatlas Patch-Based Label Fusion. Patch-MI@MICCAI 2016: 117-124 - [c5]Long Xie, Laura E. M. Wisse, Sandhitsu R. Das, Hongzhi Wang, David A. Wolk, José V. Manjón, Paul A. Yushkevich:
Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI. MICCAI (2) 2016: 564-571 - 2015
- [j15]José V. Manjón, Pierrick Coupé, Antonio Buades:
MRI noise estimation and denoising using non-local PCA. Medical Image Anal. 22(1): 35-47 (2015) - [c4]Erhard T. Næss-Schmidt, Anna Tietze, Irene K. Mikkelsen, Mikkel V. Petersen, Jakob Udby Blicher, Pierrick Coupé, José V. Manjón, Simon F. Eskildsen:
Patch-Based Segmentation from MP2RAGE Images: Comparison to Conventional Techniques. Patch-MI@MICCAI 2015: 180-187 - 2014
- [j14]José V. Manjón, Simon F. Eskildsen, Pierrick Coupé, José E. Romero, D. Louis Collins, Montserrat Robles:
Nonlocal Intracranial Cavity Extraction. Int. J. Biomed. Imaging 2014: 820205:1-820205:11 (2014) - 2013
- [j13]Pierrick Coupé, José V. Manjón, Maxime Chamberland, Maxime Descoteaux, Bassem Hiba:
Collaborative patch-based super-resolution for diffusion-weighted images. NeuroImage 83: 245-261 (2013) - 2012
- [j12]José V. Manjón, Pierrick Coupé, Antonio Buades, D. Louis Collins, Montserrat Robles:
New methods for MRI denoising based on sparseness and self-similarity. Medical Image Anal. 16(1): 18-27 (2012) - [j11]Pierrick Coupé, Martin Munz, José V. Manjón, Edward S. Ruthazer, D. Louis Collins:
A CANDLE for a deeper in vivo insight. Medical Image Anal. 16(4): 849-864 (2012) - [j10]Simon F. Eskildsen, Pierrick Coupé, Vladimir S. Fonov, José V. Manjón, Kelvin K. Leung, Nicolas Guizard, Shafik N. Wassef, Lasse Riis Østergaard, D. Louis Collins:
BEaST: Brain extraction based on nonlocal segmentation technique. NeuroImage 59(3): 2362-2373 (2012) - [j9]Pierrick Coupé, Simon F. Eskildsen, José V. Manjón, Vladimir S. Fonov, D. Louis Collins:
Simultaneous segmentation and grading of anatomical structures for patient's classification: Application to Alzheimer's disease. NeuroImage 59(4): 3736-3747 (2012) - 2011
- [j8]Pierrick Coupé, José V. Manjón, Vladimir S. Fonov, Jens C. Pruessner, Montserrat Robles, D. Louis Collins:
Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation. NeuroImage 54(2): 940-954 (2011) - [c3]Pierrick Coupé, Simon F. Eskildsen, José V. Manjón, Vladimir S. Fonov, D. Louis Collins:
Simultaneous Segmentation and Grading of Hippocampus for Patient Classification with Alzheimer's Disease. MICCAI (3) 2011: 149-157 - 2010
- [j7]José V. Manjón, Pierrick Coupé, Antonio Buades, D. Louis Collins, Montserrat Robles:
MRI Superresolution Using Self-Similarity and Image Priors. Int. J. Biomed. Imaging 2010: 425891:1-425891:11 (2010) - [j6]Pierrick Coupé, José V. Manjón, Elias Gedamu, Douglas L. Arnold, Montserrat Robles, D. Louis Collins:
Robust Rician noise estimation for MR images. Medical Image Anal. 14(4): 483-493 (2010) - [j5]José V. Manjón, Pierrick Coupé, Antonio Buades, Vladimir S. Fonov, D. Louis Collins, Montserrat Robles:
Non-local MRI upsampling. Medical Image Anal. 14(6): 784-792 (2010) - [j4]José V. Manjón, Jussi Tohka, Montserrat Robles:
Improved estimates of partial volume coefficients from noisy brain MRI using spatial context. NeuroImage 53(2): 480-490 (2010) - [c2]Pierrick Coupé, José V. Manjón, Vladimir S. Fonov, Jens C. Pruessner, Montserrat Robles, D. Louis Collins:
Nonlocal Patch-Based Label Fusion for Hippocampus Segmentation. MICCAI (3) 2010: 129-136
2000 – 2009
- 2009
- [j3]José V. Manjón, Neil A. Thacker, Juan José Lull, Gracián García-Martí, Luis Martí-Bonmatí, Montserrat Robles:
Multicomponent MR Image Denoising. Int. J. Biomed. Imaging 2009: 756897:1-756897:10 (2009) - [c1]Pierrick Coupé, José V. Manjón, Elias Gedamu, Douglas L. Arnold, Montserrat Robles, D. Louis Collins:
An Object-Based Method for Rician Noise Estimation in MR Images. MICCAI (1) 2009: 601-608 - 2008
- [j2]José V. Manjón, José Carbonell-Caballero, Juan José Lull, Gracián García-Martí, Luis Martí-Bonmatí, Montserrat Robles:
MRI denoising using Non-Local Means. Medical Image Anal. 12(4): 514-523 (2008) - 2007
- [j1]José V. Manjón, Juan José Lull, José Carbonell-Caballero, Gracián García-Martí, Luis Martí-Bonmatí, Montserrat Robles:
A nonparametric MRI inhomogeneity correction method. Medical Image Anal. 11(4): 336-345 (2007)
Coauthor Index
[i12] [i11] [j29] [j28] [i10] [j27] [c21] [i9] [j26] [c20] [i8] [i7] [c19] [i6] [i5] [i4] [i3] [i2] [j25] [j24] [j23] [j22] [c18] [c16] [c15] [c14] [i1] [j20] [j19] [c12] [c11] [c10] [j18] [j17] [j16] [c9] [c8] [c7] [c6] [j15] [c4] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [c3] [j7] [j6] [j5] [c2] [c1]
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