Journals starting with mlm

MLMI11 * *Machine Learning in Medical Imaging
* 3D Segmentation in CT Imagery with Conditional Random Fields and Histograms of Oriented Gradients
* Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices
* Anatomical Regularization on Statistical Manifolds for the Classification of Patients with Alzheimer's Disease
* Automated Cephalometric Landmark Localization Using Sparse Shape and Appearance Models
* Automated Detection of Major Thoracic Structures with a Novel Online Learning Method
* Automated Identification of Thoracolumbar Vertebrae Using Orthogonal Matching Pursuit
* Automated Nuclear Segmentation of Coherent Anti-Stokes Raman Scattering Microscopy Images by Coupling Superpixel Context Information with Artificial Neural Networks
* Automated Selection of Standardized Planes from Ultrasound Volume
* Automatic Human Knee Cartilage Segmentation from Multi-contrast MR Images Using Extreme Learning Machines and Discriminative Random Fields
* Automatic Morphological Classification of Lung Cancer Subtypes with Boosting Algorithms for Optimizing Therapy
* Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach
* Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization
* Comparison Study of Inferences on Graphical Model for Registering Surface Model to 3D Image, A
* Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques
* Computer-Assisted Intramedullary Nailing Using Real-Time Bone Detection in 2D Ultrasound Images
* DCE-MRI Analysis Using Sparse Adaptive Representations
* Directed Graph Based Image Registration
* Effective Supervised Framework for Retinal Blood Vessel Segmentation Using Local Standardisation and Bagging, An
* Faster Segmentation Algorithm for Optical Coherence Tomography Images with Guaranteed Smoothness
* Fuzzy Statistical Unsupervised Learning Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images
* Hot Spots Conjecture and Its Application to Modeling Tubular Structures
* Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image Segmentation
* Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction, A
* Learning Optical Flow Propagation Strategies Using Random Forests for Fast Segmentation in Dynamic 2D and 3D Echocardiography
* Learning Statistical Correlation of Prostate Deformations for Fast Registration
* Locally Deformable Statistical Shape Model, A
* Machine Learning Approach to Tongue Motion Analysis in 2D Ultrasound Image Sequences, A
* Maximum Likelihood and James-Stein Edge Estimators for Left Ventricle Tracking in 3D Echocardiography
* Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI
* Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults
* MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease
* Network-Based Classification Using Cortical Thickness of AD Patients
* Non-rigid Registration Framework That Accommodates Pathology Detection, A
* Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression
* Probabilistic Graphical Model of SPECT/MRI
* Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia
* Rapidly Adaptive Cell Detection Using Transfer Learning with a Global Parameter
* Segmentation Based Features for Lymph Node Detection from 3-D Chest CT
* Segmentation of Skull Base Tumors from MRI Using a Hybrid Support Vector Machine-Based Method
* Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models
* Spatial Nonparametric Mixed-Effects Model with Spatial-Varying Coefficients for Analysis of Populations
* Subject-Specific Cardiac Segmentation Based on Reinforcement Learning with Shape Instantiation
* Texture Analysis by a PLS Based Method for Combined Feature Extraction and Selection
* Tree Structured Model of Skin Lesion Growth Pattern via Color Based Cluster Analysis
45 for MLMI11

MLMI12 * *Machine Learning in Medical Imaging
* Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability
* Cardiac LV and RV Segmentation Using Mutual Context Information
* Combining Multiple Image Segmentations by Maximizing Expert Agreement
* Computer Aided Skin Lesion Diagnosis with Humans in the Loop
* Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets
* Data Driven Constraints for the SVM
* Dense Deformation Reconstruction via Sparse Coding
* Description and Classification of Confocal Endomicroscopic Images for the Automatic Diagnosis of Inflammatory Bowel Disease
* Finding Deformable Shapes by Correspondence-Free Instantiation and Registration of Statistical Shape Models
* Gradient Projection Learning for Parametric Nonrigid Registration
* Graph-Based Inter-subject Classification of Local fMRI Patterns
* Group Sparsity Constrained Automatic Brain Label Propagation
* Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease
* Human Age Estimation with Surface-Based Features from MRI Images
* Integrating Statistical Shape Models into a Graph Cut Framework for Tooth Segmentation
* Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative
* Learning to Locate Cortical Bone in MRI
* Learning to Rank from Medical Imaging Data
* Localized MKL Method for Brain Classification with Known Intra-class Variability, A
* Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries
* MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra
* Non-parametric Density Modeling and Outlier-Detection in Medical Imaging Datasets
* Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI
* Novel 3D Joint MGRF Framework for Precise Lung Segmentation, A
* On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants
* Quality Classification of Microscopic Imagery with Weakly Supervised Learning
* Random Forest Based Approach for One Class Classification in Medical Imaging, A
* Simultaneous Registration and Segmentation by L1 Minimization
* Sparse Patch-Guided Deformation Estimation for Improved Image Registration
* Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach
* Towards Improving the Accuracy of Sensorless Freehand 3D Ultrasound by Learning
* Transductive Prostate Segmentation for CT Image Guided Radiotherapy
* Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination
34 for MLMI12

MLMotion08 * *Machine Learning for Vision-based Motion Analysis
* Approximate RBF kernel SVM and its applications in pedestrian classification
* Capturing Video Structure with Mixture of Probabilistic Index Maps
* Combination of supervised and unsupervised methods for navigation path mining
* Facial motion analysis using clustered shortest path tree registration
* Flexible dictionaries for action classification
* framework for indexing human actions in video, A
* From learning individual actions to 3D animation of team sports
* From local temporal correlation to global anomaly detection
* Human motion tracking using a color-based particle filter driven by optical flow
* Independent viewpoint silhouette-based human action modeling and recognition
* Learning Bayesian tracking for motion estimation
* Learning Pullback metrics for linear models
* Linear and Non-Linear Models for Monocular 3D Motion Capture
* new spatio-temporal MRF framework for video-based object segmentation, A
* Optimizing trajectories clustering for activity recognition
* Self-similar regularization of optic-flow for turbulent motion estimation
* Simultaneous learning of motion and appearance
* Spatio-temporal feature recognition using randomised Ferns
* Spatio-temporal motion pattern modeling of extremely crowded scenes
* Super-resolved digests of humans in video
* Unsupervised learning of behavioural patterns for video-surveillance
22 for MLMotion08

MLMotion09 * *Machine Learning for Vision-based Motion Analysis
* Action exemplar based real-time action detection
* Combining discriminative appearance and segmentation cues for articulated human pose estimation
* Evaluation of threshold model HMMS and Conditional Random Fields for recognition of spatiotemporal gestures in sign language
* Fitting parametric road models to spatio-temporal derivatives
* H-APF: Using hierarchical representation of human body for 3-D articulated tracking and action classification
* Human action recognition from a single clip per action
* improved local descriptor and threshold learning for unsupervised dynamic texture segmentation, An
* Learning mixed-state Markov models for statistical motion texture tracking
* On-line learning of the transition model for Recursive Bayesian Estimation
* Randomized algorithm of spectral clustering and image/video segmentation using a minority of pixels
* Sparse learning approach to the problem of robust estimation of camera locations
* Supervised Neighborhood Topology Learning for Human Action Recognition
* Two-layer generative models for estimating unknown gait kinematics
14 for MLMotion09

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