ISSN: 1361-8415

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Medical Image Analysis Q1 Unclaimed

Elsevier Netherlands

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Medical Image Analysis is a journal indexed in SJR in Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging with an H index of 122. It has an SJR impact factor of 3,877 and it has a best quartile of Q1. It is published in English.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Categories: Computer Graphics and Computer-Aided Design (Q1) Computer Vision and Pattern Recognition (Q1) Health Informatics (Q1) Radiological and Ultrasound Technology (Q1) Radiology, Nuclear Medicine and Imaging (Q1)

Price

- €

Gold OA

-

Green OA

- €

Non OA

Metrics

3,877

SJR Impact factor

122

H Index

149

Total Docs (Last Year)

371

Total Docs (3 years)

8308

Total Refs

4903

Total Cites (3 years)

334

Citable Docs (3 years)

15,58

Cites/Doc (2 years)

55,76

Ref/Doc

Aims and Scope

Other journals with similar parameters

IEEE Transactions on Pattern Analysis and Machine Intelligence Q1
International Journal of Computer Vision Q1
Pattern Recognition Q1
Advances in Computer Vision and Pattern Recognition Q1
IEEE Robotics and Automation Letters Q1

Best articles

3D image segmentation of deformable objects with joint shape-intensity prior models using level sets

4D deformable models with temporal constraints: application to 4D cardiac image segmentation

A 3-D model-based registration approach for the PET, MR and MCG cardiac data fusion

A CAD system for the 3D location of lesions in mammograms

A high-throughput active contour scheme for segmentation of histopathological imagery

A layered model of a virtual human intestine for surgery simulation

A procedure to average 3D anatomical structures

A quality-guided displacement tracking algorithm for ultrasonic elasticity imaging

A rule-based method for predicting the electrical activation of the heart with cardiac resynchronization therapy from non-invasive clinical data

A statistically based flow for image segmentation

Algorithmic tools for real-time microsurgery simulation††This paper is based on earlier work appearing in (Brown et al., 2001a,b).

An efficient conditional random field approach for automatic and interactive neuron segmentation

SHOW MORE ARTICLES

An EM algorithm for shape classification based on level sets

An Image Overlay system for medical data visualization

Analyzing attributes of vessel populations

Analyzing the neocortical fine-structure

Automated classification of lung bronchovascular anatomy in CT using AdaBoost

Automatic inference of articulated spine models in CT images using high-order Markov Random Fields

Cerebrovascular segmentation from TOF using stochastic models

Characterization of frequency-dependent material properties of human liver and its pathologies using an impact hammer

Congenital aortic disease: 4D magnetic resonance segmentation and quantitative analysis

Cortical sulci recognition and spatial normalization

Creases as local features of deformation grids

Creating a high-resolution spatial/symbolic model of the inner organs based on the Visible Human

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