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Olivier Salvado
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2020 – today
- 2024
- [j31]Anthony Paproki
, Olivier Salvado
Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias. ACM Comput. Surv. 56(11): 271:1-271:37 (2024) - [c90]Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Léo Lebrat:
NeRF Director: Revisiting View Selection in Neural Volume Rendering. CVPR 2024: 20742-20751 - [c89]Léo Lebrat, Rodrigo Santa Cruz, Remi Chierchia, Yulia Arzhaeva, Mohammad Ali Armin, Joshua Goldsmith, Jeremy Oorloff, Prithvi Reddy, Chuong Nguyen, Lars Petersson, Michelle Barakat-Johnson, Georgina Luscombe, Clinton Fookes, Olivier Salvado, David Ahmedt-Aristizabal:
Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. ISBI 2024: 1-5 - [c88]Olivier Salvado, Salamata Konate, Rodrigo Santa Cruz, Andrew P. Bradley
Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. ISBI 2024: 1-4 - [i14]Rongkai Ma, Léo Lebrat, Rodrigo Santa Cruz, Gil Avraham, Yan Zuo, Clinton Fookes, Olivier Salvado:
Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields. CoRR abs/2401.16144 (2024) - [i13]Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Léo Lebrat:
NeRF Director: Revisiting View Selection in Neural Volume Rendering. CoRR abs/2406.08839 (2024) - [i12]Remi Chierchia, Léo Lebrat, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Rodrigo Santa Cruz:
SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-grade Videos. CoRR abs/2407.19652 (2024) - [i11]Chayan Banerjee, Kien Nguyen Thanh, Olivier Salvado, Truyen Tran, Clinton Fookes:
PINNs for Medical Image Analysis: A Survey. CoRR abs/2408.01026 (2024) - 2023
- [c87]Salamata Konate, Léo Lebrat
Bias Identification with RankPix Saliency. ICASSP 2023: 1-5 - [c86]Huaxi Huang
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels. ICCV 2023: 16673-16684 - [c85]Léo Lebrat
Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. ISBI 2023: 1-5 - [c84]Joshua Peters, Léo Lebrat
DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations. WACV 2023: 1958-1968 - [i10]Sung Une Lee, Harsha Perera, Boming Xia, Yue Liu, Qinghua Lu, Liming Zhu, Olivier Salvado, Jon Whittle:
QB4AIRA: A Question Bank for AI Risk Assessment. CoRR abs/2305.09300 (2023) - [i9]Léo Lebrat, Rodrigo Santa Cruz, Remi Chierchia, Yulia Arzhaeva, Mohammad Ali Armin, Joshua Goldsmith, Jeremy Oorloff, Prithvi Reddy, Chuong Nguyen, Lars Petersson, Michelle Barakat-Johnson, Georgina Luscombe, Clinton Fookes, Olivier Salvado
Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. CoRR abs/2311.15836 (2023) - 2022
- [c83]Rodrigo Santa Cruz
CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. MICCAI (5) 2022: 496-505 - [i8]Mithun Lal, Anthony Paproki, Nariman Habili, Lars Petersson, Olivier Salvado
Learning Dense Correspondence from Synthetic Environments. CoRR abs/2203.12919 (2022) - [i7]Léo Lebrat, Rodrigo Santa Cruz, Frédéric de Gournay, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction. CoRR abs/2206.02374 (2022) - [i6]Rodrigo Santa Cruz, Léo Lebrat, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. CoRR abs/2206.06598 (2022) - [i5]Huaxi Huang, Hui Kang, Sheng Liu, Olivier Salvado
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels. CoRR abs/2212.03462 (2022) - 2021
- [j30]Saba Momeni
Synthetic microbleeds generation for classifier training without ground truth. Comput. Methods Programs Biomed. 207: 106127 (2021) - [c82]Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado
MongeNet: Efficient Sampler for Geometric Deep Learning. CVPR 2021: 16664-16673 - [c81]Salamata Konate, Léo Lebrat
A Comparison of Saliency Methods for Deep Learning Explainability. DICTA 2021: 1-8 - [c80]Salamata Konate, Léo Lebrat
Smocam: Smooth Conditional Attention Mask For 3d-Regression Models. ISBI 2021: 362-366 - [c79]Rodrigo Santa Cruz
Going Deeper With Brain Morphometry Using Neural Networks. ISBI 2021: 711-715 - [c78]Abdullah Nazib
A Multiple Decoder Cnn For Inverse Consistent 3d Image Registration. ISBI 2021: 904-907 - [c77]Léo Lebrat, Rodrigo Santa Cruz, Frédéric de Gournay, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction. NeurIPS 2021: 29491-29505 - [c76]Rodrigo Santa Cruz, Léo Lebrat
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction. WACV 2021: 806-815 - [e1]Jun Zhou, Olivier Salvado, Ferdous Sohel, Paulo Borges, Shilin Wang:
2021 Digital Image Computing: Techniques and Applications, DICTA 2021, Gold Coast, Australia, November 29 - December 1, 2021. IEEE 2021, ISBN 978-1-6654-1709-9 [contents] - [i4]Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado:
MongeNet: Efficient Sampler for Geometric Deep Learning. CoRR abs/2104.14554 (2021) - 2020
- [c75]Filip Rusak, Rodrigo Santa Cruz, Pierrick Bourgeat
3D Brain MRI GAN-Based Synthesis Conditioned on Partial Volume Maps. SASHIMI@MICCAI 2020: 11-20 - [c74]Jiabo Xu, Saeed Anwar, Nick Barnes
OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos. MICCAI (3) 2020: 732-741 - [i3]Abdullah Nazib, Clinton Fookes, Olivier Salvado, Dimitri Perrin:
A Multiple Decoder CNN for Inverse Consistent 3D Image Registration. CoRR abs/2002.06468 (2020) - [i2]Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Vincent Doré, Jason Dowling, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
Going deeper with brain morphometry using neural networks. CoRR abs/2009.03303 (2020) - [i1]Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Olivier Salvado:
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction. CoRR abs/2010.11423 (2020)
2010 – 2019
- 2019
- [j29]Thomas B. Shaw
Non-linear realignment improves hippocampus subfield segmentation reliability. NeuroImage 203 (2019) - [c73]Jeremy Beaumont, Hervé Saint-Jalmes, Oscar Acosta
High Contrast T1-Weigthed Mri with Fluid and White Matter Suppression Using Mp2Rage. ISBI 2019: 701-704 - 2018
- [j28]José V. Manjón, Pierrick Coupé
MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting. Comput. Medical Imaging Graph. 69: 43-51 (2018) - [j27]Shekhar S. Chandra
A lightweight rapid application development framework for biomedical image analysis. Comput. Methods Programs Biomed. 164: 193-205 (2018) - [j26]Pierrick Bourgeat
Implementing the centiloid transformation for 11C-PiB and β-amyloid 18F-PET tracers using CapAIBL. NeuroImage 183: 387-393 (2018) - [c72]Saba Momeni, Amir Fazlollahi, Pierrick Bourgeat
Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI. SASHIMI@MICCAI 2018: 12-19 - [c71]Amir Fazlollahi
A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging. MICCAI (1) 2018: 65-72 - [c70]Mohammad Ali Armin, Nick Barnes
Unsupervised Learning of Endoscopy Video Frames' Correspondences from Global and Local Transformation. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 108-117 - 2017
- [j25]Nicholas D. H. Dowson
Federated optimisation of kinetic analysis problems. Medical Image Anal. 35: 116-132 (2017) - [c69]Amir Fazlollahi
A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping. ISBI 2017: 97-100 - [c68]Ying Xia
Automated cartilage segmentation from 3D MR images of hip joint using an ensemble of neural networks. ISBI 2017: 1070-1073 - [c67]Pierrick Bourgeat
PET-only 18F-AV1451 tau quantification. ISBI 2017: 1173-1176 - [c66]Mohammad Ali Armin, Nick Barnes, José M. Álvarez, Hongdong Li, Florian Grimpen, Olivier Salvado
Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN). CARE/CLIP@MICCAI 2017: 50-59 - 2016
- [j24]Mohammad Ali Armin
Automated visibility map of the internal colon surface from colonoscopy video. Int. J. Comput. Assist. Radiol. Surg. 11(9): 1599-1610 (2016) - [j23]Jhimli Mitra, Kai-Kai Shen
Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks. NeuroImage 129: 247-259 (2016) - [c65]Jhimli Mitra, Soumya Ghose, Pierrick Bourgeat
Anatomical hubs from spectral clustering of structural connectomes. ISBI 2016: 894-897 - [c64]José V. Manjón, Pierrick Coupé
HIST: HyperIntensity Segmentation Tool. Patch-MI@MICCAI 2016: 92-99 - [c63]Vincent Doré
CapAIBL: Automated Reporting of Cortical PET Quantification Without Need of MRI on Brain Surface Using a Patch-Based Method. Patch-MI@MICCAI 2016: 109-116 - 2015
- [j22]Amir Fazlollahi
Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging. Comput. Medical Imaging Graph. 46: 269-276 (2015) - [j21]Amir Fazlollahi
Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods. NeuroImage 117: 191-201 (2015) - [j20]David M. Cash
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage 123: 149-164 (2015) - [c62]Mohammad Ali Armin, Girija Chetty
Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features. CARE@MICCAI 2015: 153-162 - [c61]Mohammad Ali Armin, Hans de Visser, Girija Chetty
Visibility Map: A New Method in Evaluation Quality of Optical Colonoscopy. MICCAI (1) 2015: 396-404 - [c60]Kai-Kai Shen
Heritability analysis of surface-based cortical thickness estimation on a large twin cohort. Image Processing 2015: 94131Z - [c59]Pierrick Bourgeat
Computational analysis of PET by AIBL (CapAIBL): a cloud-based processing pipeline for the quantification of PET images. Image Processing 2015: 94132V - 2014
- [j19]Christopher Bell, Kerstin Pannek
Distance informed Track-Weighted Imaging (diTWI): A framework for sensitising streamline information to neuropathology. NeuroImage 86: 60-66 (2014) - [j18]Jhimli Mitra, Pierrick Bourgeat
Lesion segmentation from multimodal MRI using random forest following ischemic stroke. NeuroImage 98: 324-335 (2014) - [j17]Kai-Kai Shen
Investigating brain connectivity heritability in a twin study using diffusion imaging data. NeuroImage 100: 628-641 (2014) - [j16]Yaniv Gal, Nicholas D. H. Dowson
Amorphous Regions-of-Interest Projection Method for Simplified Longitudinal Comparison of Dynamic Regions in Cancer Imaging. IEEE Trans. Biomed. Eng. 61(2): 264-272 (2014) - [c58]Amir Fazlollahi
Efficient machine learning framework for computer-aided detection of cerebral microbleeds using the Radon transform. ISBI 2014: 113-116 - [c57]Quentin Duché, Parnesh Raniga
New Partial Volume Estimation Methods for MRI MP2RAGE. MICCAI (3) 2014: 129-136 - 2013
- [j15]Pierrick Bourgeat
Research and applications: MilxXplore: a web-based system to explore large imaging datasets. J. Am. Medical Informatics Assoc. 20(6): 1046-1052 (2013) - [c56]Amir Fazlollahi
Automatic detection of small spherical lesions using multiscale approach in 3D medical images. ICIP 2013: 1158-1162 - [c55]Jhimli Mitra, Pierrick Bourgeat
Classification Forests and Markov Random Field to Segment Chronic Ischemic Infarcts from Multimodal MRI. MBIA 2013: 107-118 - 2012
- [j14]Ales Neubert
Constrained reverse diffusion for thick slice interpolation of 3D volumetric MRI images. Comput. Medical Imaging Graph. 36(2): 130-138 (2012) - [j13]Kai-Kai Shen
Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models. NeuroImage 59(3): 2155-2166 (2012) - [j12]David Raffelt
Apparent Fibre Density: A novel measure for the analysis of diffusion-weighted magnetic resonance images. NeuroImage 59(4): 3976-3994 (2012) - [j11]Shekhar S. Chandra
Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images. IEEE Trans. Medical Imaging 31(10): 1955-1964 (2012) - [j10]Mario Cheng, Welber Marinovic
Abdominal Palpation Haptic Device for Colonoscopy Simulation Using Pneumatic Control. IEEE Trans. Haptics 5(2): 97-108 (2012) - [c54]Zhengyi Yang, Stuart Crozier
Morphology-Based Interslice Interpolation on Manual Segmentations of Joint Bones and Muscles in MRI. DICTA 2012: 1-8 - [c53]Shekhar Chandra
Unilateral hip joint segmentation with shape priors learned from missing data. ISBI 2012: 1711-1714 - [c52]Luping Zhou
MR-Less Surface-Based Amyloid Estimation by Subject-Specific Atlas Selection and Bayesian Fusion. MICCAI (2) 2012: 220-227 - [c51]Quentin Duché, Oscar Acosta
Bi-exponential Magnetic Resonance Signal Model for Partial Volume Computation. MICCAI (1) 2012: 231-238 - [c50]Kai-Kai Shen
Consistent estimation of shape parameters in statistical shape model by symmetric EM algorithm. Image Processing 2012: 83140R - [c49]Vincent Doré
A surface based approach for cortical thickness comparison between PiB+ and PiB- healthy control subjects. Image Processing 2012: 831413 - 2011
- [j9]David Raffelt
Symmetric diffeomorphic registration of fibre orientation distributions. NeuroImage 56(3): 1171-1180 (2011) - [j8]Nicholas D. H. Dowson
Hashed Nonlocal Means for Rapid Image Filtering. IEEE Trans. Pattern Anal. Mach. Intell. 33(3): 485-499 (2011) - [c48]Shekhar Chandra
Automatic Segmentation of the Prostate in 3D Magnetic Resonance Images Using Case Specific Deformable Models. DICTA 2011: 7-12 - [c47]Vincent Doré
Surface-Base Approach Using a Multi-scale EM-ICP Registration for Statistical Population Analysis. DICTA 2011: 13-18 - [c46]Ales Neubert
Automated 3D Segmentation of Vertebral Bodies and Intervertebral Discs from MRI. DICTA 2011: 19-24 - [c45]Ying Xia
Automated MR Hip Bone Segmentation. DICTA 2011: 25-30 - [c44]Luping Zhou
A Comparison Study of Ellipsoid Fitting for Pose Normalization of Hippocampal Shapes. DICTA 2011: 285-290 - [c43]Amir Fazlollahi
Automatic Brain Tumour Segmentation in 18F-FDOPA PET Using PET/MRI Fusion. DICTA 2011: 325-329 - [c42]Anthony Paproki
Automated 3D Segmentation and Analysis of Cotton Plants. DICTA 2011: 555-560 - [c41]Kai-Kai Shen
Atlas selection strategy using least angle regression in multi-atlas segmentation propagation. ISBI 2011: 1746-1749 - [c40]Parnesh Raniga
Local intensity model: An outlier detection framework with applications to white matter hyperintensity segmentation. ISBI 2011: 2057-2060 - [c39]Jason Dowling
Fast Automatic Multi-atlas Segmentation of the Prostate from 3D MR Images. Prostate Cancer Imaging 2011: 10-21 - [c38]Di Xiao, David Zahra, Pierrick Bourgeat
An accurate 3D shape context based non-rigid registration method for mouse whole-body skeleton registration. Image Processing 2011: 79620V - [c37]Kai-Kai Shen
Atlas selection strategy in multi-atlas segmentation propagation with locally weighted voting using diversity-based MMR re-ranking. Image Processing 2011: 79621B - [c36]Kai-Kai Shen
Detecting hippocampal shape changes in Alzheimer's disease using statistical shape models. Image Processing 2011: 796243 - 2010
- [j7]Di Xiao, David Zahra, Pierrick Bourgeat
An improved 3D shape context based non-rigid registration method and its application to small animal skeletons registration. Comput. Medical Imaging Graph. 34(4): 321-332 (2010) - [j6]Hans de Visser, Josh Passenger, David Conlan
Developing a Next Generation Colonoscopy Simulator. Int. J. Image Graph. 10(2): 203-217 (2010) - [c35]Neil Burdett, Jurgen Fripp, Pierrick Bourgeat
MILXView: A Medical Imaging, Analysis and Visualization Platform. E-HEALTH 2010: 177-186 - [c34]Oscar Acosta
3D shape context surface registration for cortical mapping. ISBI 2010: 1021-1024 - [c33]Kai-Kai Shen
Supervised method to build an atlas database for multi-atlas segmentation-propagation. Computer-Aided Diagnosis 2010: 76241N - [c32]Jason Dowling
Automatic MRI Atlas-Based External Beam Radiation Therapy Treatment Planning for Prostate Cancer. Prostate Cancer Imaging 2010: 25-33 - [c31]Oscar Acosta
Atlas Based Segmentation and Mapping of Organs at Risk from Planning CT for the Development of Voxel-Wise Predictive Models of Toxicity in Prostate Radiotherapy. Prostate Cancer Imaging 2010: 42-51 - [c30]Kelvin K. Leung, Kai-Kai Shen
Increasing Power to Predict Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Hippocampal Atrophy Rate and Statistical Shape Models. MICCAI (2) 2010: 125-132 - [c29]Di Xiao, David Zahra, Pierrick Bourgeat
An improved 3D shape context registration method for non-rigid surface registration. Image Processing 2010: 76232Q - [c28]Nicholas D. H. Dowson
Compact rotation invariant descriptor for non-local means. Image Processing 2010: 76233C - [c27]Florence Gris, Jean-Marie Favreau
A combined voxel and surface based method for topology correction of brain surfaces. Image Processing 2010: 76234T
2000 – 2009
- 2009
- [j5]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) - [c26]Tobias Reichl, Josh Passenger, Oscar Acosta
Echtzeit-Ultraschallsimulation auf Grafik-Prozessoren mit CUDA. Bildverarbeitung für die Medizin 2009: 157-161 - [c25]Mario Cheng, Josh Passenger, Olivier Salvado, Stephan Riek
Pneumatic haptic interface fuzzy controller for simulation of abdominal palpations during colonoscopy. WHC 2009: 250-255 - [c24]Andrea Rueda
Partial Volume Estimation of Brain Cortex from MRI Using Topology-Corrected Segmentation. ISBI 2009: 133-136 - [c23]Jurgen Fripp, Pierrick Bourgeat
Automated Segmentation of the Menisci from MR Images. ISBI 2009: 510-513 - [c22]Erik Bonner, Oscar Acosta
A Quantitative Comparison of Three Methods for Inflating Cortical Meshes. ISBI 2009: 1338-1341 - [c21]Tobias Reichl, Josh Passenger, Oscar Acosta
Ultrasound goes GPU: real-time simulation using CUDA. Image-Guided Procedures 2009: 726116 - [c20]Di Xiao, Pierrick Bourgeat
Non-rigid registration of small animal skeletons from micro-CT using 3D shape context. Image Processing 2009: 72591G - [c19]Jason Dowling
Nonrigid correction of interleaving artefacts in pelvic MRI. Image Processing 2009: 72592P - 2008
- [j4]Jurgen Fripp
Appearance modeling of 11C PiB PET images: Characterizing amyloid deposition in Alzheimer's disease, mild cognitive impairment and healthy aging. NeuroImage 43(3): 430-439 (2008) - [c18]David P. Hansen, Mohan Karunanithi, Michael Lawley, Anthony J. Maeder
Improving the Use, Analysis and Integration of Patient Health Data. APWeb Workshops 2008: 74-84 - [c17]Valer Jurcak, Jurgen Fripp, Craig Engstrom, Duncan Walker, Olivier Salvado, Sébastien Ourselin, Stuart Crozier
Atlas based automated segmentation of the quadratus lumborum muscle using non-rigid registration on magnetic resonance images of the thoracolumbar region. ISBI 2008: 113-116 - [c16]Pierrick Bourgeat
Improved cortical thickness measurement from MR images using partial volume estimation. ISBI 2008: 205-208 - [c15]Jurgen Fripp, Pierrick Bourgeat
Generative atlases and atlas selection for C11-PIB PET-PET registration of elderly, mild cognitive impaired and Alzheimer disease patients. ISBI 2008: 1155-1158 - [c14]Hans de Visser, Olivier Comas, David Conlan, Sébastien Ourselin
Deforming a High-Resolution Mesh in Real-Time by Mapping onto a Low-Resolution Physical Model. ISBMS 2008: 135-146 - [c13]Oscar Acosta
Automatic Delineation of Sulci and Improved Partial Volume Classification for Accurate 3D Voxel-Based Cortical Thickness Estimation from MR. MICCAI (1) 2008: 253-261 - [c12]Jurgen Fripp, Pierrick Bourgeat
MR-Less High Dimensional Spatial Normalization of 11C PiB PET Images on a Population of Elderly, Mild Cognitive Impaired and Alzheimer Disease Patients. MICCAI (1) 2008: 442-449 - [c11]Maria A. Zuluaga
Cortical thickness measurement from magnetic resonance images using partial volume estimation. Image Processing 2008: 69140J - [c10]Oscar Acosta
Pyramidal flux in an anisotropic diffusion scheme for enhancing structures in 3D images. Image Processing 2008: 691429 - 2007
- [j3]Olivier Salvado
Removal of local and biased global maxima in intensity-based registration. Medical Image Anal. 11(2): 183-196 (2007) - [c9]Olivier Salvado
Fuzzy classificationof brain MRI using a priori knowledge: weighted fuzzy C-means. ICCV 2007: 1-8 - [c8]Olivier Salvado
Parametrization of Level-Sets with B-Splines. ISBI 2007: 1228-1231 - 2006
- [j2]Olivier Salvado
Partial Volume Reduction by Interpolation with Reverse Diffusion. Int. J. Biomed. Imaging 2006: 92092:1-92092:13 (2006) - [j1]Olivier Salvado
Method to correct intensity inhomogeneity in MR images for atherosclerosis characterization. IEEE Trans. Medical Imaging 25(5): 539-552 (2006) - [c7]Olivier Salvado, David L. Wilson:
Thick slice interpolation using reverse anisotropic diffusion to reduce partial volume effect. ISBI 2006: 1000-1003 - [c6]Olivier Salvado
A new anisotropic diffusion method, application to partial volume effect reduction. Image Processing 2006: 614464 - [c5]Olivier Salvado
Removal of Interpolation Induced Artifacts in Similarity Surfaces. WBIR 2006: 43-49 - 2005
- [c4]Olivier Salvado
Partial volume correction using reverse diffusion. Image Processing 2005 - 2004
- [c3]Jasjit S. Suri, Vasanth Pappu, Olivier Salvado, Baowei Fei
Rotational Effect on ROI's for Accurate Lumen Quantification in Bifurcated MR Plaque Volumes. CBMS 2004: 414- - [c2]Olivier Salvado, David L. Wilson, Jasjit S. Suri, Claudia Hillenbrand, Shaoxiong Zhang:
MR Signal Inhomogeneity Correction for Visual And Computerized Atherosclerosis Lesion Assessment. ISBI 2004: 1143-1146 - [c1]Olivier Salvado
MR coil sensitivity inhomogeneity correction for plaque characterization in carotid arteries. Image Processing 2004
Coauthor Index
Oscar Acosta
aka: Oscar Acosta Tamayo
aka: Oscar Acosta Tamayo
[c85] [c84] [c83] [i7] [i6] [c80] [c79] [c77] [c76] [c75] [i2] [i1] [j26] [c72] [c71] [c69] [c67] [j23] [c65] [c63] [j22] [j21] [j20] [c59] [j19] [j18] [j16] [c58] [j15] [c56] [c55] [j14] [j13] [c52] [c50] [c49] [c47] [c43] [c41] [c40] [c38] [c37] [c36] [j7] [c35] [c34] [c33] [c30] [c29] [j5] [c24] [c23] [c20] [c19] [j4] [c16] [c15] [c13] [c12] [c11] [c9]
Jurgen Fripp
aka: Jurgen Mejan-Fripp
aka: Jurgen Mejan-Fripp
[c85] [c84] [c83] [i7] [i6] [c80] [c79] [c77] [c76] [c75] [i2] [i1] [j29] [c73] [j28] [j27] [j26] [c72] [c71] [c69] [c68] [c67] [j23] [c65] [c64] [c63] [j20] [c62] [c60] [c59] [j18] [j17] [j15] [c55] [j14] [j13] [j11] [c54] [c53] [c52] [c50] [c49] [j9] [c48] [c47] [c46] [c45] [c42] [c40] [c39] [c36] [c35] [c34] [c33] [c32] [c30] [j5] [c24] [c23] [c22] [c20] [c19] [j4] [c17] [c16] [c15] [c13] [c12]
Christopher Rowe
aka: Christopher C. Rowe
aka: Christopher C. Rowe
Victor Villemagne
aka: Victor L. Villemagne
aka: Victor L. Villemagne
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