Nikos Paragios | Academic Influence

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Nikos Paragios

Computer Science

#2506

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#2617

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Information Management

#39

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#40

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Nikos Paragios

Mathematics

#4824

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#6824

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Applied Mathematics

#112

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#127

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Measure Theory

#870

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#1144

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mathematics Degrees

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Computer Science
Mathematics

Nikos Paragios's Degrees

PhD Computer Science Côte d'Azur University
Masters Applied Mathematics Côte d'Azur University

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Why Is Nikos Paragios Influential?

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According to Wikipedia, Nikos Paragios is a distinguished professor of Applied mathematics at CentraleSupélec, the school of engineering of the Paris-Saclay_University and founder, president and chief executive officer of TheraPanacea, an information technology company targeting precision medicine in oncology, neurology and beyond through holistic treatment pathways optimization.

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Nikos Paragios's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Deformable Medical Image Registration: A Survey (2013) (1327)
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects (2000) (1205)
Geometric Level Set Methods in Imaging, Vision, and Graphics (2011) (1003)
Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation (2002) (926)
Motion-based background subtraction using adaptive kernel density estimation (2004) (701)
Handbook of Mathematical Models in Computer Vision (2005) (695)
Shape Priors for Level Set Representations (2002) (605)
A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study. (2018) (603)
Background modeling and subtraction of dynamic scenes (2003) (474)
Dense image registration through MRFs and efficient linear programming (2008) (465)
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge (2011) (442)
Data fusion through cross-modality metric learning using similarity-sensitive hashing (2010) (432)
Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology (2017) (421)
Geodesic Active Regions: A New Framework to Deal with Frame Partition Problems in Computer Vision (2002) (418)
DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting (2011) (395)
A level set approach for shape-driven segmentation and tracking of the left ventricle (2003) (366)
MRF Optimization via Dual Decomposition: Message-Passing Revisited (2007) (338)
MRF Energy Minimization and Beyond via Dual Decomposition (2011) (325)
Gradient vector flow fast geometric active contours (2004) (269)
A MRF-based approach for real-time subway monitoring (2001) (265)
Building detection in very high resolution multispectral data with deep learning features (2015) (259)
Topology free hidden Markov models: application to background modeling (2001) (245)
Shape registration in implicit spaces using information theory and free form deformations (2006) (239)
Beyond pairwise energies: Efficient optimization for higher-order MRFs (2009) (237)
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies (2008) (233)
Fast, Approximately Optimal Solutions for Single and Dynamic MRFs (2007) (228)
Geodesic active regions for supervised texture segmentation (1999) (227)
Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach (2000) (224)
Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey (2013) (223)
Deformable medical image registration: setting the state of the art with discrete methods. (2011) (208)
Scale Space and Variational Methods in Computer Vision (2007) (202)
Segmentation of building facades using procedural shape priors (2010) (202)
A Variational Approach for the Segmentation of the Left Ventricle in Cardiac Image Analysis (2002) (192)
Dense non-rigid surface registration using high-order graph matching (2010) (184)
Geodesic active regions and level set methods for motion estimation and tracking (2005) (172)
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance (2018) (171)
A PDE-based level-set approach for detection and tracking of moving objects (1998) (169)
Geodesic active regions for motion estimation and tracking (1999) (166)
Model-based hand tracking with texture, shading and self-occlusions (2008) (165)
Non-rigid registration using distance functions (2003) (154)
Shape grammar parsing via Reinforcement Learning (2011) (150)
Unsupervised co-segmentation through region matching (2012) (150)
Implicit Active Shape Models for 3D Segmentation in MR Imaging (2004) (144)
Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration (2002) (144)
Prior Knowledge, Level Set Representations & Visual Grouping (2008) (136)
Video-Based Surveillance Systems: Computer Vision and Distributed Processing (2001) (125)
Particle Filters, a Quasi-Monte Carlo Solution for Segmentation of Coronaries (2005) (115)
Slice-to-volume medical image registration: a survey (2017) (114)
Gradient vector flow fast geodesic active contours (2001) (113)
Sub-cortical brain structure segmentation using F-CNN'S (2016) (112)
Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles (2008) (112)
Unifying boundary and region-based information for geodesic active tracking (1999) (109)
Recognition-Driven Two-Dimensional Competing Priors Toward Automatic and Accurate Building Detection (2009) (109)
Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics (2020) (96)
Optical flow estimation with uncertainties through dynamic MRFs (2008) (94)
Geodesic active contours for supervised texture segmentation (1999) (93)
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia (2020) (86)
Single view reconstruction using shape grammars for urban environments (2009) (86)
Demystification of AI-driven medical image interpretation: past, present and future (2018) (82)
Assessment of calf muscle contraction by diffusion tensor imaging (2008) (81)
Adaptive detection and localization of moving objects in image sequences (1999) (80)
Model-Based 3D Hand Pose Estimation from Monocular Video (2011) (80)
Artificial intelligence applications for thoracic imaging. (2019) (79)
Prior Knowledge, Random Walks and Human Skeletal Muscle Segmentation (2012) (78)
Segmentation, ordering and multi-object tracking using graphical models (2009) (73)
Illumination estimation and cast shadow detection through a higher-order graphical model (2011) (71)
Parsing Facades with Shape Grammars and Reinforcement Learning (2013) (70)
Robust shadow and illumination estimation using a mixture model (2009) (70)
Video-Based Surveillance Systems (2002) (65)
EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation (2017) (62)
Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming (2007) (62)
Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel Segmentation (2006) (61)
Linear intensity-based image registration by Markov random fields and discrete optimization (2010) (61)
Joint Tumor Segmentation and Dense Deformable Registration of Brain MR Images (2012) (60)
Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest (2017) (58)
Establishing Local Correspondences towards Compact Representations of Anatomical Structures (2003) (57)
Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching (2011) (56)
Shape priors and discrete MRFs for knowledge-based segmentation (2009) (56)
Image Denoising Based on Adapted Dictionary Computation (2007) (54)
Automatic inference of articulated spine models in CT images using high-order Markov Random Fields (2011) (52)
Fast illumination-invariant background subtraction using two views: error analysis, sensor placement and applications (2005) (52)
3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs (2010) (52)
Large-Scale Building Reconstruction Through Information Fusion and 3-D Priors (2010) (51)
A variational approach for the segmentation of the left ventricle in MR cardiac images (2001) (51)
Scene modeling and change detection in dynamic scenes: A subspace approach (2009) (50)
Clustering via LP-based Stabilities (2008) (50)
Active Shape Models and Segmentation of the Left Ventricle in Echocardiography (2005) (49)
Weakly supervised multiple instance learning histopathological tumor segmentation (2020) (49)
Registration with Uncertainties and Statistical Modeling of Shapes with Variable Metric Kernels (2009) (49)
A Probabilistic Atlas of Diffuse WHO Grade II Glioma Locations in the Brain (2016) (47)
Discrete tracking of parametrized curves (2009) (47)
Variational, Geometric, and Level Set Methods in Computer Vision, Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005, Proceedings (2005) (47)
Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs (2014) (46)
Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support (2007) (45)
Alternating Direction Graph Matching (2016) (45)
Graph-based detection, segmentation & characterization of brain tumors (2012) (44)
AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation (2018) (44)
Learning Grammars for Architecture-Specific Facade Parsing (2016) (43)
Knowledge-based registration & segmentation of the left ventricle: a level set approach (2002) (43)
Automatic detection of liver tumors (2008) (42)
Graph commute times for image representation (2008) (42)
Random Exploration of the Procedural Space for Single-View 3D Modeling of Buildings (2011) (41)
Hierarchical 3D diffusion wavelet shape priors (2009) (39)
Deep learning: definition and perspectives for thoracic imaging (2019) (38)
Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo Sampling (2005) (38)
Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation (2007) (37)
Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data (2015) (37)
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets (2019) (36)
Simultaneous Geometric - Iconic Registration (2010) (36)
A high-quality video denoising algorithm based on reliable motion estimation (2010) (36)
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention (2020) (35)
Dense Registration with Deformation Priors (2009) (35)
Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics (2009) (35)
Linear and Deformable Image Registration with 3D Convolutional Neural Networks (2018) (34)
Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs (2013) (33)
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution (2020) (33)
Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells (2020) (32)
Boosted metric learning for 3D multi-modal deformable registration (2011) (32)
Estimating Shadows with the Bright Channel Cue (2010) (30)
Automatic skeletal muscle segmentation through random walks and graph-based seed placement (2012) (30)
Variable Bandwidth Image Denoising Using Image-based Noise Models (2007) (30)
Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images (2010) (30)
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement (2006) (29)
Intrinsic dense 3D surface tracking (2011) (29)
Non-rigid Registration using Discrete MRFs: Application to Thoracic CT Images (2010) (28)
Automatic single- and multi-label enzymatic function prediction by machine learning (2017) (28)
Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs (2009) (28)
A variational approach to monocular hand-pose estimation (2010) (28)
Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields (2013) (28)
Deformable Mosaicing for Whole-Body MRI (2008) (28)
Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences (2012) (26)
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia (2020) (26)
Context Aware 3D CNNs for Brain Tumor Segmentation (2018) (26)
Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising (2007) (26)
Sparse and Locally Constant Gaussian Graphical Models (2009) (26)
Wavelet-driven knowledge-based MRI calf muscle segmentation (2009) (26)
Detection and location of moving objects using deterministic relaxation algorithms (1996) (26)
Landmark-based segmentation of lungs while handling partial correspondences using sparse graph-based priors (2011) (26)
Modeling the structure of multivariate manifolds: Shape maps (2008) (25)
Trajectory-Based Representation of Human Actions (2007) (25)
MRF-Based Blind Image Deconvolution (2012) (25)
Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data (2016) (25)
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation (2020) (24)
Graph-Based Geometric-Iconic Guide-Wire Tracking (2011) (23)
Graph Based Spatial Position Mapping of Low-Grade Gliomas (2011) (23)
Deformable Image Registration: A Survey (2012) (23)
Variational methods and partial differential equations in cardiac image analysis (2004) (22)
An Explicit Shape-Constrained MRF-Based Contour Evolution Method for 2-D Medical Image Segmentation (2014) (21)
Deep Learning-based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images. (2020) (21)
Markov random field optimization for intensity-based 2D-3D registration (2010) (20)
Reinventing Radiation Therapy with Machine Learning and Imaging Bio-markers (Radiomics): state-of-the-art, challenges and perspectives. (2020) (19)
A Framework for Efficient Structured Max-Margin Learning of High-Order MRF Models (2015) (19)
A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation (2016) (19)
Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors (2011) (19)
Landmark/image-based deformable registration of gene expression data (2011) (19)
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology (2021) (18)
Discrete symmetric image registration (2012) (18)
Bag-of-multimedia-words for image classification (2012) (18)
Elastic Registration-driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT. (2020) (18)
Comparing morphological levelings constrained by different markers (2007) (18)
Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration (2018) (18)
Detecting mutually-salient landmark pairs with MRF regularization (2010) (18)
Discrete Multi Atlas Segmentation using Agreement Constraints (2014) (18)
Efficient and Automated Multimodal Satellite Data Registration through MRFs and Linear Programming (2014) (17)
An automated computed tomography score for the cystic fibrosis lung (2018) (17)
Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs (2016) (17)
Manifold-enhanced Segmentation through Random Walks on Linear Subspace Priors (2012) (17)
Image transport regression using mixture of experts and discrete Markov Random Fields (2010) (17)
Slice-to-volume deformable registration: efficient one-shot consensus between plane selection and in-plane deformation (2015) (17)
Recognition-Driven 2D Competing Priors Towards Automatic And Accurate Building Detection (2008) (16)
(Hyper)-graphical models in biomedical image analysis (2016) (16)
Handbook of Biomedical Imaging (2015) (16)
High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images (2012) (16)
Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI (2016) (16)
Linear image registration through MRF optimization (2009) (16)
Detecting multiple moving targets using deformable contours (1997) (16)
Border Detection on Short Axis Echocardiographic Views Using a Region Based Ellipse-Driven Framework (2004) (16)
Surface/Volume-Based Articulated 3D Spine Inference through Markov Random Fields (2009) (15)
On the Representation of Shapes Using Implicit Functions (2006) (15)
A Generic Deformation Model for Dense Non-rigid Surface Registration: A Higher-Order MRF-Based Approach (2013) (15)
Learning deformation and structure simultaneously: In situ endograft deformation analysis (2011) (15)
Robust guidewire segmentation through boosting, clustering and linear programming (2010) (15)
Adaptive detection of moving objects using multiscale techniques (1996) (15)
Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing (2010) (14)
A Machine Learning Methodology for Enzyme Functional Classification Combining Structural and Protein Sequence Descriptors (2016) (14)
Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I (2010) (14)
AUTOMATIC MODEL-BASED BUILDING DETECTION FROM SINGLE PANCHROMATIC HIGH RESOLUTION IMAGES (2008) (14)
Higher-Order Graph Principles towards Non-Rigid Surface Registration (2016) (14)
Compressed Sensing Based 3D Tomographic Reconstruction for Rotational Angiography (2011) (14)
Joint Object Segmentation and Behavior Classification in Image Sequences (2007) (14)
Discriminative Parameter Estimation for Random Walks Segmentation (2013) (14)
Modelling shapes with uncertainties: higher order polynomials, variable bandwidth kernels and non parametric density estimation (2005) (13)
Extraction of Layers of Similar Motion Through Combinatorial Techniques (2005) (13)
Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case (2005) (13)
Deformable Registration Through Learning of Context-Specific Metric Aggregation (2017) (13)
MRF Energy Minimization & Beyond via Dual Decomposition (2010) (13)
Use of Elastic Registration in Pulmonary MRI for the Assessment of Pulmonary Fibrosis in Patients with Systemic Sclerosis. (2019) (13)
Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part IV (2010) (12)
Image Renaissance Using Discrete Optimization (2006) (12)
Computer vision -- ECCV 2010 : 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5 - 11, 2010 : proceedings (2010) (12)
Atlas-based deformable mutual population segmentation (2009) (12)
Dosimetry-driven quality measure of brain pseudo Computed Tomography generated from deep learning for MRI-only radiotherapy treatment planning. (2020) (12)
A Convex Semi-definite Positive Framework for DTI Estimation and Regularization (2007) (12)
Compressed-sensing-based content-driven hierarchical reconstruction: Theory and application to C-arm cone-beam tomography. (2015) (12)
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs (2010) (12)
Prior-Based Coregistration and Cosegmentation (2016) (12)
Cooperative Object Segmentation and Behavior Inference in Image Sequences (2009) (12)
3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images (2011) (11)
Corrections to 'Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects' (2000) (11)
Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics (2009) (11)
Monocular Hand Pose Estimation Using Variable Metric Gradient-Descent (2006) (11)
Postarthroplasty Examination Using X-Ray Images (2009) (11)
Curve Propagation, Level Set Methods and Grouping (2006) (11)
Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration (2013) (10)
Left Ventricle Segmentation Using Diffusion Wavelets and Boosting (2009) (10)
Discriminative learning of deformable contour models (2014) (10)
User-Aided Boundary Delineation through the Propagation of Implicit Representations (2003) (10)
Markov Random Field-based fitting of a subdivision-based geometric atlas (2011) (10)
Uncalibrated stereo rectification for automatic 3D surveillance (2004) (10)
From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle (2007) (10)
Tagged cardiac MR image segmentation using boundary & regional-support and graph-based deformable priors (2011) (10)
Graph-based knowledge-driven discrete segmentation of the left ventricle (2009) (10)
Image Registration of Satellite Imagery with Deep Convolutional Neural Networks (2019) (10)
Efficient parallel message computation for MAP inference (2011) (10)
3D cardiac segmentation with pose-invariant higher-order MRFs (2012) (10)
Geodesic Active Regions for Tracking (1999) (9)
Top 10 BraTS 2020 challenge solution: Brain tumor segmentation with self-ensembled, deeply-supervised 3D-Unet like neural networks (2020) (9)
Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels (2020) (9)
Motion Analysis of Endovascular Stent-Grafts by MDL Based Registration (2007) (9)
Radiomics to predict response to immunotherapy, bridging the gap from proof of concept to clinical applicability? (2019) (8)
Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis (2020) (8)
(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision (2016) (8)
Registration of Structures in Arbitrary Dimensions: Implicit Representations, Mutual Information & Free form Deformations (2003) (8)
Manifold-constrained embeddings for the detection of white matter lesions in brain MRI (2012) (8)
Graph-based deformable image registration (2015) (8)
Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used? (2021) (8)
Knee reconstruction through efficient linear programming (2008) (8)
Sparse convolutional context-aware multiple instance learning for whole slide image classification (2021) (8)
Post-Arthroplasty Examination Using X-Ray Images (2008) (7)
Joint Model-Pixel Segmentation with Pose-Invariant Deformable Graph-Priors (2013) (7)
Unsupervised classification of skeletal fibers using diffusion maps (2009) (7)
Shape Analysis towards Model-based Segmentation (2003) (7)
Finger-spelling recognition within a collaborative segmentation/behavior inference framework (2008) (7)
A Kernel-based graphical model for diffusion tensor registration (2010) (7)
Markov Random Fields in Vision Perception: A Survey (2012) (7)
Model-Based Multi-view Fusion of Cinematic Flow and Optical Imaging (2010) (7)
Implicit Free-Form-Deformations for Multi-frame Segmentation and Tracking (2005) (7)
PH-0532: Standardization of brain MRI across machines and protocols: bridging the gap for MRI-based radiomics (2020) (7)
Curvilinear structures extraction in cluttered bioimaging data with discrete optimization methods (2011) (7)
Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields (2016) (7)
Holistic AI-Driven Quantification, Staging and Prognosis of COVID-19 Pneumonia (2020) (7)
Task-Specific Functional Brain Geometry from Model Maps (2008) (7)
Local atlas selection for discrete multi-atlas segmentation (2015) (7)
Spatio-temporal speckle reduction in ultrasound sequences. (2008) (6)
Motion-based enhancement of optical imaging (2009) (6)
Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation (2013) (6)
Graph-Based Slice-to-Volume Deformable Registration (2017) (6)
Integrating edge/boundary priors with classification scores for building detection in very high resolution data (2017) (6)
Higher order polynomials, free form deformations and optical flow estimation (2005) (5)
Multimodal inference of articulated spine models from higher order energy functions of discrete MRFS (2010) (5)
Graph-based guide-wire segmentation through fusion of contrast-enhanced and fluoroscopic images (2012) (5)
MULTI-VIEW STEREO RECONSTRUCTION OF TOTAL KNEE REPLACEMENT FROM X-RAYS (2007) (5)
[Computational medical imaging (radiomics) and potential for immuno-oncology]. (2017) (5)
Compressed Sensing Dynamic Reconstruction in Rotational Angiography (2012) (5)
Sparsity, redundancy and optimal image support towards knowledge-based segmentation (2008) (5)
Optimal similarity registration of volumetric images (2011) (5)
Implicit planar and in-plane deformable mapping in medical images through high order graphs (2015) (5)
Discrete Visual Perception (2014) (5)
Needle tracking through higher-order MRF optimization (2010) (5)
Similarity-Based Appearance-Prior for Fitting a Subdivision Mesh in Gene Expression Images (2012) (5)
Application of Particle Filtering to Image Enhancement (2005) (4)
PO-1002 Pseudo Computed Tomography generation using 3D deep learning – Application to brain radiotherapy (2019) (4)
Biomedical image analysis using markov random fields & efficient linear programing (2009) (4)
Deformable group-wise registration using a physiological model: Application to diffusion-weighted MRI (2016) (4)
Bioluminescence enhancement through fusion of optical imaging and cinematic video flow (2010) (4)
Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization (2013) (4)
Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences (2015) (4)
Multimodal brain tumor classification (2020) (4)
MRI Composing for Whole Body Imaging (2009) (4)
Expression Mimicking : From 2D Monocular Sequences to 3D Animations (2007) (4)
Implicit Representations for Recovery and Reconstruction of Motion Layers (2003) (4)
Improving Radiotherapy Workflow Through Implementation of Delineation Guidelines & AI-Based Annotation (2020) (4)
A Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences (2007) (4)
Modular linear iconic matching using higher order graphs (2015) (4)
4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization (2007) (4)
Fast Primal-Dual Strategies for MRF Optimization (2007) (4)
Quantification of Cystic Fibrosis Lung Disease with Radiomics-based CT Scores. (2020) (4)
Image Renaissance Using Discrete Optimization and the α-Expansion Algorithm (2005) (3)
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network (2021) (3)
Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle (2008) (3)
Newton-Type Methods for Inference in Higher-Order Markov Random Fields (2017) (3)
Guest Editorial: Special Issue on Variational and Level Set Methods in Computer Vision (2002) (3)
Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information (2009) (3)
A Blinded Prospective Evaluation Of Clinical Applicability Of Deep Learning-Based Auto Contouring Of OAR For Head and Neck Radiotherapy (2020) (3)
Pose Invariant Deformable Shape Priors Using L 1 Higher Order Sparse Graphs (2013) (3)
Non-rigid 2 D-3 D Medical Image Registration using Markov Random Fields (2017) (3)
An Application of Graph Commute Times to Image Indexing (2008) (3)
Region-guided CycleGANs for Stain Transfer in Whole Slide Images (2022) (3)
[Adaptive radiation therapy for non-small cell lung cancer]. (2015) (3)
A Kernel-based Approach to Diffusion Tensor and Fiber Clustering in the Human Skeletal Muscle (2008) (3)
Continuous Relaxation of MAP Inference: A Nonconvex Perspective (2018) (3)
Pose-Invariant 3D Proximal Femur Estimation through Bi-planar Image Segmentation with Hierarchical Higher-Order Graph-Based Priors (2011) (3)
Optimal Estimation of Diffusion in DW-MRI by High-Order MRF-Based Joint Deformable Registration and Diffusion Modeling (2016) (2)
Monte-carlo Sampling, Particle Filters and Segmentation of Coronaries (2005) (2)
Weakly supervised pan-cancer segmentation tool (2021) (2)
Spatio-temporal Motion Estimation & Segmentation in Layers: Robust Estimators, Markov Random Fields, Visual Grouping and Graph-based Optimization (2005) (2)
COMPETING 3D PRIORS FOR OBJECT EXTRACTION IN REMOTE SENSING DATA (2009) (2)
Graph-Based Multi-resolution Temporal-Based Face Reconstruction (2006) (2)
Image contextual representation and matching through hierarchies and higher order graphs (2012) (2)
Real-Time Video Analysis at Siemens Corporate Research (2002) (2)
Variational Principles in Optical Flow Estimation and Tracking (2003) (2)
Group-wise MDL based registration of small animals in video sequences (2008) (2)
Conjoint use of coded-aperture collimators and MLEM algorithm: Towards large blood vessels reconstruction at 511 KEV (2008) (2)
A Functional Geometry of fMRI BOLD Signal Interactions (2009) (2)
Hand Poste Estimation with Constrained Multi-hypotheses Gradient-Descent (2005) (2)
A Probabilistic Temporal Model for Joint Attribute Extraction and Behavior Recognition (2009) (2)
Fast Dichotomic Multiple Search Algorithm for Shortest Cirular Path (2006) (2)
Local Appearance Knowledge and Shape Variation Models for Muscle Segmentation (2009) (2)
Discrete optimization in computer vision (2008) (2)
Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature (2019) (2)
Proceedings of the 11th European conference on Computer vision: Part IV (2010) (2)
Radon space and Adaboost for Pose Estimation (2006) (2)
Variational model-based 3d building extraction from remote sensing data (2009) (2)
Modeling Shapes with Higher-Order Graphs: Methodology and Applications (2013) (2)
Tighter continuous relaxations for MAP inference in discrete MRFs: A survey (2019) (2)
Guest Editors' Introduction: Special Section on Higher Order Graphical Models in Computer Vision (2015) (2)
Inverse Problem and Imaging Journal Special Issue on Medical Image Analysis (2010) (1)
Understanding 3D Emotions Through Compact Anthropometric Autoregressive Models (2006) (1)
Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis (2016) (1)
Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets (2018) (1)
Monte Carlo Sampling for the Segmentation of Tubular Structures (2015) (1)
Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision (2005) (1)
Variational and Statistical Methods in Computational Vision : Contributions & Applications (2005) (1)
Quasi real-time sub-space 3D deformable fusion (2015) (1)
Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation (2018) (1)
Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III (2010) (1)
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment (2021) (1)
Nonlinear diffusion constraints for reconstructing subsampled rotational angiography data (2013) (1)
Cue Integration and Discrete MRFs towards Knowledge-based Segmentation and Tracking (2009) (1)
Feature vector similarity based on local structure (2007) (1)
Deformable groupwise registration using a physiological model : application to DIffusion-Weighted MRI (2019) (1)
Editorial: Special Issue on Vision and Medical Imaging Activities at Siemens Corporate Research (2006) (1)
Special issue on spatial coherence for visual motion analysis (2007) (1)
Deformable Image Registration : A Survey Aristeidis Sotiras (2012) (1)
Compressed sensing subtracted rotational angiography with multiple sparse penalty (2012) (1)
Introducing error estimation in the shape learning framework : Spline based registration and non-parametric density estimator in the space of higher order polynomials (2005) (1)
Uncertainties-driven Surface Morphing: The case of Photo-realistic Transitions between Facial Expressions (2006) (1)
Spatiotemporal Decomposition in Object-Space along Reconstruction in Emission Tomography (2008) (1)
COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures (2021) (0)
PH-0408: Assessment of the generalizability to pediatric protontherapy of a 3D network generating pseudo-CT (2020) (0)
ArTemis : A Level Set Geodesic Active Tracker (2007) (0)
Dosimetric impact of an AI-based delineation software satisfying international guidelines in breast cancer radiotherapy (2020) (0)
Preface [Special issue on inverse problem and imaging in medical image analysis] (2010) (0)
Discrete Methods for Guide-wire Segmentation and Tracking (2011) (0)
Novel Representations, Methods, and Algorithms in Computer Vision (2013) (0)
PO-1702: Optimizing the generation of brain pseudo-CT from MRI based on a highly efficient 3D neural network (2020) (0)
End-to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation (2022) (0)
Computer Vision and Image Understanding, Special issue on Optimization for vision, graphics and medical imaging: Theory and applications (2011) (0)
COMPETING 3 D PRIORS FOR OBJECT EXTRACTION IN REMOTE SENSING DATA (2009) (0)
Dual Decomposition with Accelerated First-Order Scheme for Discrete Markov Random Field Optimization Applied to Locally Affine Image Registration (2016) (0)
Radiomics-based Unsupervised Clustering of Acute Multiple Sclerosis Lesions (P10-3.015) (2023) (0)
Simultaneous Linear and Deformable Registration Through a Higher Order MRF Model (2015) (0)
Deep Learning Reconstruction of Lesion-Free Representations of the Brain in Multiple Sclerosis Patients (P11-3.006) (2023) (0)
Simultaneous Linear and Deformable Registration (2015) (0)
Learning Grammars for Architecture-Specific Facade Parsing (2016) (0)
Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning (2022) (0)
PO-1753: Full-body delineation of ROIs through anatomy-preserving deep learning ensemble networks (2020) (0)
New Results - Shape, Landmark & Image-based Deformable Registration (2009) (0)
adiothérapie adaptative du carcinome bronchique non à petites ellules daptive radiation therapy for non-small cell lung cancer (2015) (0)
AERIAL AND SATELLITE IMAGE SEGMENTATION BASED ON SHAPE- CONSTRAINED GEODESIC ACTIVE CONTOURS (2007) (0)
High-Particle Simulation of Monte-Carlo Dose Distribution with 3D ConvLSTMs (2021) (0)
Optimization of Discrete Markov Random Fields via Dual Decomposition ∗ (2007) (0)
Time-Varying Linear Autoregressive Models for Segmentation (2007) (0)
Dosimetric Evaluation of Dose Calculation Uncertainties for MR-Only Approaches in Prostate MR-Guided Radiotherapy (2022) (0)
Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report (2013) (0)
Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images (2011) (0)
3 D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images (2017) (0)
State of the Journal (2016) (0)
LOCALLY ADAPTIVE AUTOREGRESSIVE ACTIVE MODELS FOR SEGMENTATION OF 3D ANATOMICAL STRUCTURES (2007) (0)
PD-0425: Radiomics for selection of patients treated with immuno-radiotherapy: pooled analysis from 6 studies (2020) (0)
PO-1839 End-to-end Treatment Planning Optimization through Dose/Anatomy-based Metric-learning kNN Embeddings (2021) (0)
Joint Deformable Image Registration and ADC Map Regularization: Application to DWI-Based Lymphoma Classification (2022) (0)
PO-1722: AI-driven quality insurance for delineation in radiotherapy breast clinical trials (2020) (0)
Novel Representations, Methods, and Algorithms in Computer Vision (2013) (0)
44 Assessing the impact of key preprocessing concepts on the pseudo CT generation (2019) (0)
Cancer Gene Profiling through Unsupervised Discovery (2021) (0)
Special issue on Optimization for vision, graphics and medical imaging: Theory and applications (2011) (0)
Manifold-driven Grouping of Skeletal Muscle Fibers (2009) (0)
Spatio-temporal speckle reduction in ultrasound sequences (2010) (0)
Graph-Based Slice-to-Volume Deformable Registration (2017) (0)
A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation (2016) (0)
Abstract P1-10-12: AI-based cardiac sub-structures segmentation for safer radiotherapy planning (2023) (0)
PO-1667: Are current margins in locally advanced cervical cancers treated by tomotherapy appropriate? (2020) (0)
OC-0681: Deep learning auto contouring of OAR for HN radiotherapy: a blinded evaluation by clinical experts (2020) (0)
Medical image computing to assess tumor infiltrating CD8 T cells, tumor immune phenotype and response to anti-PD-1/PD-L1 immunotherapy in prospective phase 1 trials. (2018) (0)
OC-0504 Quality Assurance and Clinical Acceptability for AI-driven Automatic Contouring of Organs at Risk (2021) (0)
Magnetic Resonance Imaging Virtual Histopathology from Weakly Paired Data (2021) (0)
Direct 3D-reconstruction from a single 2D-image obtained through a coded-aperture (2007) (0)
Dissemination - Scientific Community animation (2009) (0)
Automatic skeletal muscle segmentation through Random Walks with shape prior information (2012) (0)
Corrigendum to "Discrete optimization in computer vision" [Comput. Vis. Image Understanding 112 (2008) 1-2] (2009) (0)
Deep Learning for Image Matching and Co‐registration (2021) (0)
Abstract PS5-13: Holistic artificial intelligence-driven predictor in HER2-positive (HER2+) early breast cancer (BC) treated with neoadjuvant lapatinib and trastuzumab without chemotherapy: A correlative analysis from SOLTI-1114 PAMELA (2021) (0)
Message from the General & Program Chairs (2019) (0)
Organizing Committee and Area Chairs (2018) (0)
Markov Random Field modeling , inference & learning in computer vision & image understanding : A survey q (2013) (0)
Evaluation of a radiomic signature of CD8 cells in patients treated with immunotherapy-radiotherapy in three clinical trials (2019) (0)
Texture Synthesis and Modification with a Patch-Valued Wavelet Transform (2018) (0)
Scale spaces on Lie groups (2007) (0)
Shape-driven Knowledge-based Segmentation and Tracking in Medical Image Analysis Accept with Revisions (2003) (0)
New Results - Model-free and Model-based Segmentation, Tracking (2008) (0)
Registration of Articulated Spine Models Using Markov Random Fields (2009) (0)
Keynote lecture 4: computer aided-visual perception : challenges and perspectives (2009) (0)
SIMSEB: Unlocking the Dosimetric Potential of Sequential Boost Plans in VMAT Through Simultaneous Optimization (2020) (0)
BraTS 2020 challenge solution : Brain tumor segmentation with self-ensembled , deeply-supervised 3 D-Unet like neural networks (2020) (0)
Uniform and textured Regions Separation in Natural images towards Better Denoising (2006) (0)
Modeling Foveal Vision (2007) (0)
Tomographic Reconstruction with L1-Minimization Strategy for Rotational Angiography (2012) (0)
Diffusion Tensor Registration Using Probability Kernels and Discrete Optimization (2009) (0)
Editorial (2006) (0)
OC-0085 Development and quantitative evaluation of AI-based pelvic MRI autocontouring for adaptive MRgRT (2021) (0)
Globally optimal volume registration using DC programming (2009) (0)
New Results - Fusion/Registration (2011) (0)
Diffusion Tensor Estimation, Regularization and Classification (2015) (0)
Exploring Deep Registration Latent Spaces (2021) (0)
Edinburgh Research Explorer Localizing Objects While Learning Their Appearance (2010) (0)

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