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Maria A. Zuluaga
Maria Alejandra Zuluaga
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2020 – today
- 2024
- [c49]Lisa Guzzi, Maria A. Zuluaga, Fabien Lareyre, Gilles Di Lorenzo, Sébastien Goffart, Andrea Chierici, Juliette Raffort, Hervé Delingette:
Differentiable Soft Morphological Filters for Medical Image Segmentation. MICCAI (8) 2024: 177-187 - [c48]Valentin Septiers, Carlos Sosa Marrero, Renaud de Crevoisier, Aurélien Briens, Hilda Chourak, Maria A. Zuluaga, Oscar Acosta:
Improved Prediction of Recurrence After Prostate Cancer Radiotherapy Using Multimodal Data and in Silico simulations. CaPTion@MICCAI 2024: 211-220 - [c47]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 - [i26]Hava Chaptoukaev, Vincenzo Marcianó, Francesco Galati, Maria A. Zuluaga:
HyperMM : Robust Multimodal Learning with Varying-sized Inputs. CoRR abs/2407.20768 (2024) - 2023
- [j18]Yue Lu
, Renjie Wu
DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams. Data Min. Knowl. Discov. 37(2): 627-669 (2023) - [j17]Carlos Martín-Isla
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 27(7): 3302-3313 (2023) - [c46]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 - [c45]Natalia Valderrama, Ioannis Pitsiorlas, Luisa Vargas, Pablo Arbeláez
Job-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images. ISBI 2023: 1-5 - [c44]Hava Chaptoukaev, Valeriya Strizhkova, Michele Panariello, Bianca Dalpaos, Aglind Reka, Valeria Manera, Susanne Thümmler, Esma Ismailova, Nicholas W. D. Evans, François Brémond, Massimiliano Todisco, Maria A. Zuluaga, Laura M. Ferrari:
StressID: a Multimodal Dataset for Stress Identification. NeurIPS 2023 - [c43]Riccardo Schiavone
Binary Domain Generalization for Sparsifying Binary Neural Networks. ECML/PKDD (2) 2023: 123-140 - [i25]Natalia Valderrama, Ioannis Pitsiorlas, Luisa Vargas, Pablo Arbeláez, Maria A. Zuluaga:
JoB-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images. CoRR abs/2304.07744 (2023) - [i24]Riccardo Schiavone, Francesco Galati, Maria A. Zuluaga:
Binary domain generalization for sparsifying binary neural networks. CoRR abs/2306.13515 (2023) - [i23]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) - [i22]Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hämmerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, et al.:
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. CoRR abs/2312.17670 (2023) - 2022
- [j16]Vien Ngoc Dang
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation. Medical Image Anal. 75: 102263 (2022) - [j15]Julien Audibert
Do deep neural networks contribute to multivariate time series anomaly detection? Pattern Recognit. 132: 108945 (2022) - [c42]Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Class-wise Thresholding for Robust Out-of-Distribution Detection. CVPR Workshops 2022: 2836-2845 - [c41]Piera Riccio
Translating Emotions from EEG to Visual Arts. EvoMUSART 2022: 243-258 - [c40]Madhu R. Kamble, Jose Patino, Maria A. Zuluaga, Massimiliano Todisco:
Exploring Auditory Acoustic Features for The Diagnosis of Covid-19. ICASSP 2022: 566-570 - [c39]Yue Lu
Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams. KDD 2022: 1173-1182 - [c38]Wilfredo Joshua Robinson Moore
DTS: A Simulator to Estimate the Training Time of Distributed Deep Neural Networks. MASCOTS 2022: 17-24 - [i21]Madhu R. Kamble, Jose Patino, Maria A. Zuluaga, Massimiliano Todisco:
Exploring auditory acoustic features for the diagnosis of the Covid-19. CoRR abs/2201.09110 (2022) - [i20]Piera Riccio, Kristin Bergaust, Boel Christensen-Scheel, Juan Carlos De Martin, Maria A. Zuluaga, Stefano Nichele:
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics. CoRR abs/2202.03246 (2022) - [i19]Julien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga:
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection? CoRR abs/2204.01637 (2022) - [i18]Riccardo Schiavone, Maria A. Zuluaga:
Sparsifying Binary Networks. CoRR abs/2207.04974 (2022) - [i17]Vien Ngoc Dang, Anna Cascarano, Rosa H. Mulder, Charlotte Cecil, Maria A. Zuluaga, Jerónimo Hernández-González
Fairness and bias correction in machine learning for depression prediction: results from four different study populations. CoRR abs/2211.05321 (2022) - 2021
- [c37]Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga:
Maximum Roaming Multi-Task Learning. AAAI 2021: 9331-9341 - [c36]Julien Audibert, Sébastien Marti, Frédéric Guyard, Maria A. Zuluaga
From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information. AALTD@ECML/PKDD 2021: 186-194 - [c35]Laura M. Ferrari, Guy Abi Hanna, Paolo Volpe, Esma Ismailova, François Brémond, Maria A. Zuluaga:
One-class autoencoder approach for optimal electrode set identification in wearable EEG event monitoring*. EMBC 2021: 7128-7131 - [c34]Francesco Galati
Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation. FIMH 2021: 101-111 - [c33]Madhu R. Kamble, José Andrés González López, Teresa Grau, Juan M. Espín, Lorenzo Cascioli
PANACEA Cough Sound-Based Diagnosis of COVID-19 for the DiCOVA 2021 Challenge. Interspeech 2021: 906-910 - [c32]Francesco Galati
Using Out-of-Distribution Detection for Model Refinement in Cardiac Image Segmentation. STACOM@MICCAI 2021: 374-382 - [i16]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) - [i15]Maria A. Zuluaga, Alex F. Mendelson, M. Jorge Cardoso, Andrew Mayall Taylor, Sébastien Ourselin:
Multi-Atlas Based Pathological Stratification of d-TGA Congenital Heart Disease. CoRR abs/2104.01960 (2021) - [i14]Laura M. Ferrari, Guy Abi Hanna, Paolo Volpe, Esma Ismailova, François Brémond, Maria A. Zuluaga:
One-class Autoencoder Approach for Optimal Electrode Set-up Identification in Wearable EEG Event Monitoring. CoRR abs/2104.04546 (2021) - [i13]Francesco Galati, Maria A. Zuluaga:
Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation. CoRR abs/2104.05533 (2021) - [i12]Madhu R. Kamble, José Andrés González López, Teresa Grau, Juan M. Espín, Lorenzo Cascioli, Yiqing Huang, Alejandro Gómez Alanís, Jose Patino, Roberto Font, Antonio M. Peinado, Angel M. Gomez, Nicholas W. D. Evans, Maria A. Zuluaga, Massimiliano Todisco:
PANACEA cough sound-based diagnosis of COVID-19 for the DiCOVA 2021 Challenge. CoRR abs/2106.04423 (2021) - [i11]Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga:
Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses? CoRR abs/2109.11678 (2021) - [i10]Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Class-wise Thresholding for Detecting Out-of-Distribution Data. CoRR abs/2110.15292 (2021) - 2020
- [j14]Da Ma
Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome - a comprehensive morphometric analysis with active staining contrast-enhanced MRI. NeuroImage 223: 117271 (2020) - [c31]Julien Audibert
USAD: UnSupervised Anomaly Detection on Multivariate Time Series. KDD 2020: 3395-3404 - [c30]Rosa Candela, Pietro Michiardi, Maurizio Filippone, Maria A. Zuluaga:
Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting. ECML/PKDD (4) 2020: 513-529 - [e8]Anne L. Martel
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12261, Springer 2020, ISBN 978-3-030-59709-2 [contents] - [e7]Anne L. Martel
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12262, Springer 2020, ISBN 978-3-030-59712-2 [contents] - [e6]Anne L. Martel
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12263, Springer 2020, ISBN 978-3-030-59715-3 [contents] - [e5]Anne L. Martel
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV. Lecture Notes in Computer Science 12264, Springer 2020, ISBN 978-3-030-59718-4 [contents] - [e4]Anne L. Martel
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V. Lecture Notes in Computer Science 12265, Springer 2020, ISBN 978-3-030-59721-4 [contents] - [e3]Anne L. Martel
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VI. Lecture Notes in Computer Science 12266, Springer 2020, ISBN 978-3-030-59724-5 [contents] - [e2]Anne L. Martel
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII. Lecture Notes in Computer Science 12267, Springer 2020, ISBN 978-3-030-59727-6 [contents] - [i9]Sujoy Chatterjee, Nicolas Pasquier, Simon Nanty, Maria A. Zuluaga:
Multi-objective Consensus Clustering Framework for Flight Search Recommendation. CoRR abs/2002.10241 (2020) - [i8]Maria A. Zuluaga, M. Jorge Cardoso, Sébastien Ourselin:
Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI. CoRR abs/2004.02317 (2020) - [i7]Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga:
Maximum Roaming Multi-Task Learning. CoRR abs/2006.09762 (2020)
2010 – 2019
- 2019
- [j13]Guotai Wang
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1559-1572 (2019) - [j12]Stefano Moriconi
Inference of Cerebrovascular Topology With Geodesic Minimum Spanning Trees. IEEE Trans. Medical Imaging 38(1): 225-239 (2019) - [c29]Stefano Moriconi
Towards Quantifying Neurovascular Resilience. MLMECH/CVII-STENT@MICCAI 2019: 149-157 - [i6]Da Ma, Manuel Jorge Cardoso
Grey matter sublayer thickness estimation in themouse cerebellum. CoRR abs/1901.02499 (2019) - [i5]Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Towards Quantifying Neurovascular Resilience. CoRR abs/1910.13200 (2019) - 2018
- [j11]Guotai Wang
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. IEEE Trans. Medical Imaging 37(7): 1562-1573 (2018) - [c28]David Renaudie, Maria A. Zuluaga
Benchmarking Anomaly Detection Algorithms in an Industrial Context: Dealing with Scarce Labels and Multiple Positive Types. IEEE BigData 2018: 1228-1237 - [c27]Stefano Moriconi
Elastic Registration of Geodesic Vascular Graphs. MICCAI (1) 2018: 810-818 - [c26]Alejandro Mottini, Alix Lheritier, Rodrigo Acuna-Agost, Maria A. Zuluaga:
Understanding Customer Choices to Improve Recommendations in the Air Travel Industry. RecTour@RecSys 2018: 28-32 - [i4]Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
VTrails: Inferring Vessels with Geodesic Connectivity Trees. CoRR abs/1806.03111 (2018) - [i3]Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Elastic Registration of Geodesic Vascular Graphs. CoRR abs/1809.05499 (2018) - 2017
- [j10]Rachel Sparks
Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment. Int. J. Comput. Assist. Radiol. Surg. 12(1): 123-136 (2017) - [j9]Jan L. Bruse
Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches. IEEE Trans. Biomed. Eng. 64(10): 2373-2383 (2017) - [c25]Stefano Moriconi
VTrails: Inferring Vessels with Geodesic Connectivity Trees. IPMI 2017: 672-684 - [e1]Maria A. Zuluaga
Reconstruction, Segmentation, and Analysis of Medical Images - First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10129, 2017, ISBN 978-3-319-52279-1 [contents] - [i2]Guotai Wang, Maria A. Zuluaga, Wenqi Li, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. CoRR abs/1707.00652 (2017) - [i1]Guotai Wang, Wenqi Li, Maria A. Zuluaga, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning. CoRR abs/1710.04043 (2017) - 2016
- [j8]Guotai Wang
Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views. Medical Image Anal. 34: 137-147 (2016) - [c24]Maria A. Zuluaga
Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients. RAMBO+HVSMR@MICCAI 2016: 139-146 - [c23]Guotai Wang
Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation. MICCAI (2) 2016: 352-360 - [c22]Rachel Sparks
Efficient Anatomy Driven Automated Multiple Trajectory Planning for Intracranial Electrode Implantation. MICCAI (1) 2016: 542-550 - [c21]Angélica Maria Atehortúa Labrador
Automatic segmentation of 4D cardiac MR images for extraction of ventricular chambers using a spatio-temporal approach. Medical Imaging: Image Processing 2016: 978435 - 2015
- [j7]Maria A. Zuluaga
Stability, structure and scale: improvements in multi-modal vessel extraction for SEEG trajectory planning. Int. J. Comput. Assist. Radiol. Surg. 10(8): 1227-1237 (2015) - [j6]Caroline Petitjean
Right ventricle segmentation from cardiac MRI: A collation study. Medical Image Anal. 19(1): 187-202 (2015) - [j5]Maria A. Zuluaga
Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries. Medical Image Anal. 26(1): 185-194 (2015) - [j4]Catalina Tobon-Gomez, Arjan J. Geers, Jochen Peters, Jürgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Ján Margeta, Zulma L. Sandoval, Birgit Stender, Yefeng Zheng
Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Trans. Medical Imaging 34(7): 1460-1473 (2015) - [c20]Maria A. Zuluaga
Multi-atlas synthesis for computer assisted diagnosis: Application to cardiovascular diseases. ISBI 2015: 290-293 - [c19]Pei Dong, Sébastien Valette
Voronoi-based analysis of bone cell network from synchrotron radiation micro-CT images. ISBI 2015: 1522-1525 - [c18]Guotai Wang
Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning. MICCAI (3) 2015: 29-37 - [c17]Benedetta Biffi, Maria A. Zuluaga
Papillary Muscle Segmentation from a Multi-atlas Database: A Feasibility Study. STACOM@MICCAI 2015: 80-89 - [c16]Da Ma
Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum. MICCAI (3) 2015: 644-651 - [c15]Alex F. Mendelson, Maria A. Zuluaga
Bolstering Heuristics for Statistical Validation of Prediction Algorithms. PRNI 2015: 77-80 - 2014
- [c14]Gergely Zombori, Roman Rodionov, Mark Nowell, Maria A. Zuluaga
A Computer Assisted Planning System for the Placement of sEEG Electrodes in the Treatment of Epilepsy. IPCAI 2014: 118-127 - [c13]Maria A. Zuluaga, Alex F. Mendelson, Manuel Jorge Cardoso, Andrew Mayall Taylor, Sébastien Ourselin:
Multi-atlas based pathological stratification of D-TGA congenital heart disease. ISBI 2014: 109-112 - [c12]Alex F. Mendelson, Maria A. Zuluaga
The Empirical Variance Estimator for Computer Aided Diagnosis: Lessons for Algorithm Validation. MICCAI (2) 2014: 236-243 - [c11]Maria A. Zuluaga
SEEG Trajectory Planning: Combining Stability, Structure and Scale in Vessel Extraction. MICCAI (2) 2014: 651-658 - 2013
- [c10]Pei Dong, Alexandra Pacureanu
A new quantitative approach for estimating bone cell connections from nano-CT images. EMBC 2013: 3694-3697 - [c9]Maria A. Zuluaga
Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion. FIMH 2013: 174-181 - 2012
- [c8]Maria A. Zuluaga, Marcela Hernández Hoyos, Julio C. Dávila, Luis Felipe Uriza
A Fast Lesion Registration to Assist Coronary Heart Disease Diagnosis in CTA Images. ICCVG 2012: 710-717 - [c7]Françoise Peyrin
3D X-ray CT imaging of the bone Lacuno-Canalicular Network. ISBI 2012: 1788-1791 - 2011
- [j3]Maria A. Zuluaga
Automatic detection of abnormal vascular cross-sections based on density level detection and support vector machines. Int. J. Comput. Assist. Radiol. Surg. 6(2): 163-174 (2011) - [j2]K. Hameeteman, Maria A. Zuluaga
Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading. Medical Image Anal. 15(4): 477-488 (2011) - [c6]Maria A. Zuluaga
Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images. MICCAI (3) 2011: 9-16 - 2010
- [c5]Maria A. Zuluaga
Can the Coronary Artery Centerline Extraction in Computed Tomography Images Be Improved by Use of a Partial Volume Model? ICCVG (2) 2010: 385-392 - [c4]Maria A. Zuluaga
Feature Selection for SVM-Based Vascular Anomaly Detection. MCV 2010: 141-152
2000 – 2009
- 2009
- [j1]Oscar Acosta
Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian-Eulerian PDE approach using partial volume maps. Medical Image Anal. 13(5): 730-743 (2009) - 2008
- [c3]Pierrick Bourgeat
Improved cortical thickness measurement from MR images using partial volume estimation. ISBI 2008: 205-208 - [c2]Maria A. Zuluaga
Cortical thickness measurement from magnetic resonance images using partial volume estimation. Medical Imaging: Image Processing 2008: 69140J - 2007
- [c1]Olivier Salvado
Fuzzy classificationof brain MRI using a priori knowledge: weighted fuzzy C-means. ICCV 2007: 1-8
Coauthor Index
Manuel Jorge Cardoso
aka: M. Jorge Cardoso
aka: M. Jorge Cardoso
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