Defect Classification and Detection Using a Multitask Deep One-Class CNN | 0 | 0.34 | 2022 |
Fully automated age-weighted expression classification using real and apparent age | 0 | 0.34 | 2022 |
Automation of Clinical Measurements on Radiographs of Children’s Hips | 0 | 0.34 | 2022 |
Automatic aerospace weld inspection using unsupervised local deep feature learning | 1 | 0.35 | 2021 |
MASC-Units:Training Oriented Filters for Segmenting Curvilinear Structures | 0 | 0.34 | 2021 |
Estimation of Cell Cycle States of Human Melanoma Cells with Quantitative Phase Imaging and Deep Learning | 0 | 0.34 | 2020 |
Not all points are created equal - an anisotropic cost function for facial landmark location. | 0 | 0.34 | 2020 |
An End to End System for Measuring Axon Growth. | 0 | 0.34 | 2020 |
ChoiceNet: CNN learning through choice of multiple feature map representations | 0 | 0.34 | 2019 |
Automatic Inspection Of Aerospace Welds Using X-Ray Images | 0 | 0.34 | 2018 |
Segmentating Nucleus Membranes in SBFSEM Volume Data with Deep Neural Networks. | 0 | 0.34 | 2018 |
Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models. | 0 | 0.34 | 2018 |
Combination of lateral and PA view radiographs to study development of knee OA and associated pain. | 1 | 0.39 | 2017 |
Adaptable Landmark Localisation: Applying Model Transfer Learning to a Shape Model Matching System. | 0 | 0.34 | 2017 |
Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression Voting. | 0 | 0.34 | 2016 |
Detecting Osteophytes in Radiographs of the Knee to Diagnose Osteoarthritis. | 1 | 0.35 | 2016 |
Ensemble Registration: Combining Groupwise Registration and Segmentation. | 0 | 0.34 | 2016 |
A benchmark for comparison of dental radiography analysis algorithms. | 17 | 0.92 | 2016 |
Overview of research on facial ageing using the FG-NET ageing database. | 35 | 0.80 | 2016 |
Multi-point Regression Voting for Shape Model Matching. | 0 | 0.34 | 2016 |
Robust and Accurate Shape Model Matching using Random Forest Regression-Voting | 100 | 3.58 | 2015 |
Automated Shape and Texture Analysis for Detection of Osteoarthritis from Radiographs of the Knee | 6 | 0.64 | 2015 |
Learning-Based Shape Model Matching: Training Accurate Models with Minimal Manual Input | 3 | 0.41 | 2015 |
Tracking Collagen Fibres through Image Volumes from SBFSEM. | 0 | 0.34 | 2015 |
A parts-and-geometry initialiser for 3D non-rigid registration using features derived from spin images. | 3 | 0.40 | 2013 |
Accurate Bone Segmentation in 2D Radiographs Using Fully Automatic Shape Model Matching Based On Regression-Voting | 6 | 0.78 | 2013 |
Automatic Location of Vertebrae on DXA Images Using Random Forest Regression. | 10 | 0.67 | 2012 |
Accurate Fully Automatic Femur Segmentation in Pelvic Radiographs Using Regression Voting | 12 | 0.87 | 2012 |
Using Detailed Independent 3D Sub-models to Improve Facial Feature Localisation and Pose Estimation. | 1 | 0.34 | 2012 |
Automatic construction of parts+geometry models for initializing groupwise registration. | 6 | 0.48 | 2012 |
Initialising groupwise non-rigid registration using multiple parts+geometry models. | 2 | 0.37 | 2012 |
Real Time Feature Point Tracking With Automatic Model Selection | 5 | 0.47 | 2011 |
Accurate Regression Procedures For Active Appearance Models | 47 | 2.67 | 2011 |
Automatic part selection for groupwise registration. | 4 | 0.41 | 2011 |
Short-term variability of proximal femur shape in anteroposterior pelvic radiographs. | 0 | 0.34 | 2011 |
Deformable Object Modelling and Matching | 1 | 0.37 | 2010 |
Additive Update Predictors in Active Appearance Models | 27 | 1.72 | 2010 |
Automatic learning sparse correspondences for initialising groupwise registration. | 10 | 0.61 | 2010 |
Computing Accurate Correspondences across Groups of Images | 34 | 1.07 | 2010 |
Using parts and geometry models to initialise Active Appearance Models for automated segmentation of 3D medical images | 5 | 0.43 | 2010 |
Improved 3D Model Search for Facial Feature Location and Pose Estimation in 2D images | 5 | 0.57 | 2010 |
Constructing part-based models for groupwise registration | 6 | 0.48 | 2010 |
Building 3-D Statistical Shape Models by Direct Optimization. | 60 | 2.03 | 2010 |
Combining Local and Global Shape Models for Deformable Object Matching | 18 | 1.03 | 2009 |
Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI | 24 | 1.47 | 2008 |
Robust Active Appearance Models with Iteratively Rescaled Kernels | 3 | 0.91 | 2007 |
Boosted Regression Active Shape Models | 86 | 4.61 | 2007 |
Texture enhanced appearance models | 19 | 1.11 | 2007 |
Automated Analysis of Deformable Structure in Groups of Images | 3 | 0.83 | 2007 |
SIMULTANEOUS REGISTRATION, SEGMENTATION AND MODELLING OF STRUCTURE IN GROUPS OF MEDICAL IMAGES | 3 | 0.57 | 2007 |