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[PDF] Top 20 Distance metric learning for medical image registration

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Distance metric learning for medical image registration

Distance metric learning for medical image registration

... in medical image registration. Medical images can be characterized as points living in a high dimensional ...MR image is a point in 2 27 = 134217728 dimensional ...either ... See full document

48

A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval

A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval

... for distance metric learning typically address only one goal without consideration of the ...for medical image retrieval where the goal is to assist doctors in decision ...query ... See full document

15

Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms

Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms

... for metric optimization in the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework, by treating the induced Riemannian metric on the space of diffeomorphisms as a kernel in a machine ... See full document

9

Semi-supervised distance metric learning for collaborative image retrieval

Semi-supervised distance metric learning for collaborative image retrieval

... In sum, the compared schemes include 2 standard metrics, 3 unsupervised metrics, 4 supervised DML with side infor- mation, and the proposed semi-supervised DML method. For the setup of experiments, we follow a standard ... See full document

7

Online multimodal distance metric learning with application to image retrieval

Online multimodal distance metric learning with application to image retrieval

... online learning scheme by (i) learning a flexible nonlinear similarity function for each indi- vidual modality, and (ii) learning to find the optimal combination of multiple modalities simultaneously ... See full document

12

Semi-supervised distance metric learning for collaborative image retrieval

Semi-supervised distance metric learning for collaborative image retrieval

... In sum, the compared schemes include 2 standard metrics, 3 unsupervised metrics, 4 supervised DML with side infor- mation, and the proposed semi-supervised DML method. For the setup of experiments, we follow a standard ... See full document

8

Multiple Kernel Learning via Distance Metric Learning for Interactive Image Retrieval

Multiple Kernel Learning via Distance Metric Learning for Interactive Image Retrieval

... query image, we start with a uniform weighting of the base kernels, and ask the user to annotate a small number of retrieved ...for learning a set of kernel weights for this particular query ...local ... See full document

10

Learning Rigid Image Registration - Utilizing Convolutional Neural Networks for Medical Image Registration

Learning Rigid Image Registration - Utilizing Convolutional Neural Networks for Medical Image Registration

... Murphy, K., Ginneken, B. V., Reinhardt, J. M., Member, S., Kabus, S., Ding, K., Deng, X., Cao, K., Du, K., Christensen, G. E., Garcia, V., Vercauteren, T., Ay- ache, N., Commowick, O., Malandain, G., Glocker, B., ... See full document

11

Online multi-modal distance metric learning with application to image retrieval

Online multi-modal distance metric learning with application to image retrieval

... or learning effective distance/similarity measures based on some extracted low-level ...machine learning techniques to automatically combine multiple types of diverse features and their respective ... See full document

15

Semi-supervised distance metric learning for collaborative image retrieval and clustering

Semi-supervised distance metric learning for collaborative image retrieval and clustering

... For of all, we evaluate the compared schemes on the normal log data. This is to examine if the proposed algorithm is comparable or better than the previous DML techniques in a normal situation. Table II shows the ... See full document

26

Online multi-modal distance metric learning with application to image retrieval

Online multi-modal distance metric learning with application to image retrieval

... or learning effective distance/similarity measures based on some extracted low-level ...machine learning techniques to automatically combine multiple types of diverse features and their respective ... See full document

16

Hamming Distance Metric Learning

Hamming Distance Metric Learning

... Each image belongs to one of 10 classes, namely airplane, automobile, bird, cat, deer, dog, frog, horse, ship, and ...per image quadrant, the codewords of which are learned from 6×6 image ...for ... See full document

9

Optimization of Image Registration for Medical
          Image Analysis

Optimization of Image Registration for Medical Image Analysis

... Abstract— Image registration has vital applications in medical image ...of registration methods, a popular category is the one, which uses the whole image content to derive a ... See full document

5

Distance Metric Learning for Conditional Anomaly Detection

Distance Metric Learning for Conditional Anomaly Detection

... Conclusions Summing up, our conditional anomaly detection is a very promising methodology for detecting unusual events such as network attacks or medical errors. We have demonstrated its potential by exploring and ... See full document

7

Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets

Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets

... used distance functions. Therefore, we cast our classifier learning problem as one of learning a low-rank Mahalanobis distance which is shared across all ...for learning such a ...novel ... See full document

38

Deformable Medical Image Registration: A Survey

Deformable Medical Image Registration: A Survey

... the learning step is representative of the population that will be ...statistically-constrained registration framework is limited by previously-observed ...conventional registration has been proposed ... See full document

72

Robust Discriminative Metric Learning for Image Representation

Robust Discriminative Metric Learning for Image Representation

... Abstract—Metric learning has attracted significant attentions in the past decades, for the appealing advances in various real- world applications such as person re-identification and face ...supervised ... See full document

11

Medical Image Registration and 3D Object Matching

Medical Image Registration and 3D Object Matching

... 31 , 28 , 29 ]. For example, Siddiqi HW DO [ 28 ] introduced a shock detection approach based on singularity theory to generate a skeletal shape model. Also, Siddiqi HW DO [ 32 ] recently proposed a directed acyclic ... See full document

92

A Review of Different Medical Image Registration Techniques

A Review of Different Medical Image Registration Techniques

... The distance between the each pixel to each cluster centers are ...The distance is of simple Euclidean ...Euclidean distance between data and the corresponding cluster centroid. The image ... See full document

8

Medical Image Registration : A Matlab Based Approach

Medical Image Registration : A Matlab Based Approach

... Step 2: Set up the Initial Registration The imregconfig function makes it easy to pick the correct optimizer and metric configuration to use with imregister. These two images are from two different ... See full document

6

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