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52 résultats
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Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT ImagesMedical Image Computing and Computer Assisted Interventions - MICCAI, 2011, Toronto, Canada. pp.9-16, ⟨10.1007/978-3-642-23626-6_2⟩
Communication dans un congrès
hal-01825362v1
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Adaptación del algoritmo MARACAS para la segmentación de la bifurcación de la arteria carótida y cuantificación de estenosis en imágenes TACQuinto Seminario de Ingeniería Biomédica y Quinto Seminario Internacional de Procesamiento de y Análisis de Imágenes Médicas, 2009, Bogota, Colombia. 5 in electronic proc
Communication dans un congrès
hal-01825375v1
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Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentationMedical Image Analysis, In press
Article dans une revue
hal-03220957v1
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part III (CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis)Anne L. Martel; Purang Abolmaesumi; Danail Stoyanov; Diana Mateus; Maria A. Zuluaga; S. Kevin Zhou; Daniel Racoceanu; Leo Joskowicz. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Oct 2020, Lima, Peru. Lecture Notes in Computer Science, Part III - CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis (12263), 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 Proceedings, 978-3-030-59716-0. ⟨10.1007/978-3-030-59716-0⟩
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hal-03144839v1
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Mejoramiento de la segmentación arterial coronaria a traves del modelamiento del volumen parcial en imágenes TACRevista colombiana de radiología, 2009, 20 (3), pp.2702-2707
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hal-01825376v1
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Can the coronary artery centerline extraction in computed tomography images be improved by use of a partial volume model?Int Conf Comput Vision Graphics, 2010, Warsaw, Poland. pp.385-392, ⟨10.1007/978-3-642-15907-7⟩
Communication dans un congrès
hal-01825370v1
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Binary domain generalization for sparsifying binary neural networks ⋆ECML-PKDD 2023, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer, Sep 2023, Torino, Italy
Communication dans un congrès
hal-04139453v1
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Aprendizaje de máquinas basado en árboles aleatorios para la segmentación automática de la arteria carótida en imágenes de TACSeminario de Ingeniería Biomédica \textendash SIB, 2012, Bogotá, Colombia. pp.14-15
Communication dans un congrès
hal-01825357v1
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Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteriesMedical Image Analysis, 2015, 26 (1), pp.185--194. ⟨10.1016/j.media.2015.09.001⟩
Article dans une revue
hal-01827215v1
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Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian-Eulerian PDE approach using partial volume maps.Medical Image Analysis, 2009, 13 (5), pp.730-43. ⟨10.1016/j.media.2009.07.003⟩
Article dans une revue
hal-00911253v1
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Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI DatasetsIEEE Transactions on Medical Imaging, 2015, 34 (7), pp.1460--1473. ⟨10.1109/TMI.2015.2398818⟩
Article dans une revue
hal-01260607v1
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PANACEA Cough Sound-Based Diagnosis of COVID-19 for the DiCOVA 2021 ChallengeInterspeech 2021, Aug 2021, Brno, Czech Republic. pp.906-910, ⟨10.21437/Interspeech.2021-1062⟩
Communication dans un congrès
hal-03560821v1
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Telemedicine and Digital Health Applications in Vascular SurgeryJournal of Clinical Medicine, 2022, 11 (20), pp.6047. ⟨10.3390/jcm11206047⟩
Article dans une revue
hal-03824484v1
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A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography TranslationBMVC 2023, 34th British Machine Vision Conference, Nov 2023, Aberdeen, United Kingdom
Communication dans un congrès
hal-04195756v2
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Feature selection for SVM-based vascular anomaly detectionMICCAI Workshop on Medical Computer Vision, 2010, Beijing, China. pp.141-152, ⟨10.1007/978-3-642-18421-5⟩
Communication dans un congrès
hal-01825366v1
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VII (brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography)Anne L. Martel; Purang Abolmaesumi; Danail Stoyanov; Diana Mateus; Maria A. Zuluaga; S. Kevin Zhou; Daniel Racoceanu; Leo Joskowicz. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Oct 2020, Lima, Peru. Lecture Notes in Computer Science, Part VII - brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography (12267), pp.XXXVII, 817, 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 Proceedings, 978-3-030-59728-3
N°spécial de revue/special issue
hal-03144845v1
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Right Ventricle Segmentation From Cardiac MRI: A Collation StudyMedical Image Analysis, 2014, 19 (1), pp.43. ⟨10.1016/j.media.2014.10.004⟩
Article dans une revue
hal-01081337v1
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Multi-objective Consensus Clustering Framework for Flight Search Recommendation ExtendedArxiv, 2020
Article dans une revue
hal-02540834v1
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Maximum Roaming Multi-Task Learning35th AAAI Conference on Artificial Intelligence, Feb 2021, Virtuel, United States. pp.9331-9341
Communication dans un congrès
hal-03044386v1
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Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data StreamsKDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2022, Washington DC, United States. pp.1173-1182, ⟨10.1145/3534678.3539271⟩
Communication dans un congrès
hal-03763007v1
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Coronary centerline tracking in CT images with use of an elastic model and image momentsMICCAI Workshop - Grand Challenge Coronary Artery Tracking, 2008, New York City, USA, Unknown Region. 8 on-line: http://hdl.handle.net/10380/1401
Communication dans un congrès
hal-01825380v1
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Methods for automation of vascular lesions detection in computed tomography imagesHuman health and pathology. Université Claude Bernard - Lyon I; Universidad de los Andes (Mérida, Venezuela ; 1785-..), 2011. English. ⟨NNT : 2011LYO10010⟩
Thèse
tel-00860825v1
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Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation11th Biennial Meeting on Functional Imaging and Modeling of the Heart (FIMH-2021), Jun 2021, Virtuel, United States. pp.101-111, ⟨10.1007/978-3-030-78710-3_11⟩
Communication dans un congrès
hal-03368114v1
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Multi-task deep learning for glaucoma detection from color fundus imagesSCIENTIFIC REPORTS, 2022, 12 (12361), ⟨10.1038/s41598-022-16262-8⟩
Article dans une revue
hal-03590892v1
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StressID: a Multimodal Dataset for Stress IdentificationNeurIPS 2023 - 37th Conference on Neural Information Processing Systems, NIST, Dec 2023, New Orleans, United States
Communication dans un congrès
hal-04245507v2
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Adaptations of MARACAS algorithm to the segmentation of the carotid bifurcation and stenosis quantification in CTA imagesMICCAI Workshop - 3D Segmentation in the Clinic: A Grand Challenge III, 2009, London, GB, Unknown Region. pp.7 on-line
Communication dans un congrès
hal-01825374v1
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Evaluation of partial volume effects in computer tomography for the improvement of coronary artery segmentation23rd Computer Assisted Radiology and Surgery International Congress and Exhibition (CARS 2009), Jun 2009, Berlin, Germany. pp.S40-1
Communication dans un congrès
hal-01825373v1
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Adaptación del algoritmo MARACAS para la segmentación de la bifurcación de la arteria carótida y cuantificación de estenosis en imágenes TACActas Biol Colombianas, 2010, 15 (3), pp.195 - 210
Article dans une revue
hal-01825369v1
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Automatic detection of abnormal vascular cross-sections based on Density Level Detection and Support Vector MachinesInternational Journal of Computer Assisted Radiology and Surgery, 2011, 6 (2), pp.163-174. ⟨10.1007/s11548-010-0494-8⟩
Article dans une revue
istex
hal-01825360v1
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Detecting clinically meaningful shape clusters in medical image data: metrics analysis for hierarchical clustering applied to healthy and pathological aortic archesIEEE Transactions on Biomedical Engineering, 2017, pp.1 - 13. ⟨10.1109/TBME.2017.2655364⟩
Article dans une revue
hal-01421202v2
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