Literature DB >> 25382956

Machine Learning in Medical Imaging.

Miles N Wernick, Yongyi Yang, Jovan G Brankov, Grigori Yourganov, Stephen C Strother.   

Abstract

Entities:  

Year:  2010        PMID： 25382956      PMCID： PMC4220564          DOI： 10.1109/MSP.2010.936730

Source DB:  PubMed          Journal:  IEEE Signal Process Mag        ISSN： 1053-5888            Impact factor:   12.551


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  36 in total

1.  A support vector machine approach for detection of microcalcifications.

Authors:  Issam El-Naqa; Yongyi Yang; Miles N Wernick; Nikolas P Galatsanos; Robert M Nishikawa
Journal:  IEEE Trans Med Imaging       Date:  2002-12       Impact factor: 10.048

2.  A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications.

Authors:  Liyang Wei; Yongyi Yang; Robert M Nishikawa; Yulei Jiang
Journal:  IEEE Trans Med Imaging       Date:  2005-03       Impact factor: 10.048

3.  Relevance vector machine for automatic detection of clustered microcalcifications.

Authors:  Liyang Wei; Yongyi Yang; Robert M Nishikawa; Miles N Wernick; Alexandra Edwards
Journal:  IEEE Trans Med Imaging       Date:  2005-10       Impact factor: 10.048

Review 4.  Functional MRI today.

Authors:  Peter Bandettini
Journal:  Int J Psychophysiol       Date:  2006-07-13       Impact factor: 2.997

5.  Image quality assessment based on a degradation model.

Authors:  N Damera-Venkata; T D Kite; W S Geisler; B L Evans; A C Bovik
Journal:  IEEE Trans Image Process       Date:  2000       Impact factor: 10.856

Review 6.  Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging.

Authors:  Michael D Fox; Marcus E Raichle
Journal:  Nat Rev Neurosci       Date:  2007-09       Impact factor: 34.870

7.  Unsupervised analysis of fMRI data using kernel canonical correlation.

Authors:  David R Hardoon; Janaina Mourão-Miranda; Michael Brammer; John Shawe-Taylor
Journal:  Neuroimage       Date:  2007-07-03       Impact factor: 6.556

8.  Evaluation and comparison of GLM- and CVA-based fMRI processing pipelines with Java-based fMRI processing pipeline evaluation system.

Authors:  Jing Zhang; Lichen Liang; Jon R Anderson; Lael Gatewood; David A Rottenberg; Stephen C Strother
Journal:  Neuroimage       Date:  2008-04-03       Impact factor: 6.556

9.  Addition of a channel mechanism to the ideal-observer model.

Authors:  K J Myers; H H Barrett
Journal:  J Opt Soc Am A       Date:  1987-12       Impact factor: 2.129

10.  Canonical Correlation Analysis for Data Fusion and Group Inferences: Examining applications of medical imaging data.

Authors:  Nicolle M Correa; Tülay Adali; Yi-Ou Li; Vince D Calhoun
Journal:  IEEE Signal Process Mag       Date:  2010       Impact factor: 12.551
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  56 in total

Review 1.  Role of deep learning in infant brain MRI analysis.

Authors:  Mahmoud Mostapha; Martin Styner
Journal:  Magn Reson Imaging       Date:  2019-06-20       Impact factor: 2.546

2.  Connectivity strength-weighted sparse group representation-based brain network construction for MCI classification.

Authors:  Renping Yu; Han Zhang; Le An; Xiaobo Chen; Zhihui Wei; Dinggang Shen
Journal:  Hum Brain Mapp       Date:  2017-02-02       Impact factor: 5.038

3.  Reagent-Free and Rapid Assessment of T Cell Activation State Using Diffraction Phase Microscopy and Deep Learning.

Authors:  Sukrut Hemant Karandikar; Chi Zhang; Akilan Meiyappan; Ishan Barman; Christine Finck; Pramod Kumar Srivastava; Rishikesh Pandey
Journal:  Anal Chem       Date:  2019-02-22       Impact factor: 6.986

4.  Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease.

Authors:  Xi Zhang; Lifang He; Kun Chen; Yuan Luo; Jiayu Zhou; Fei Wang
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

Review 5.  Current Applications and Future Impact of Machine Learning in Radiology.

Authors:  Garry Choy; Omid Khalilzadeh; Mark Michalski; Synho Do; Anthony E Samir; Oleg S Pianykh; J Raymond Geis; Pari V Pandharipande; James A Brink; Keith J Dreyer
Journal:  Radiology       Date:  2018-06-26       Impact factor: 11.105

6.  Full receiver operating characteristic curve estimation using two alternative forced choice studies.

Authors:  Francesc Massanes; Jovan G Brankov
Journal:  J Med Imaging (Bellingham)       Date:  2016-02-05

7.  Weighted Graph Regularized Sparse Brain Network Construction for MCI Identification.

Authors:  Renping Yu; Lishan Qiao; Mingming Chen; Seong-Whan Lee; Xuan Fei; Dinggang Shen
Journal:  Pattern Recognit       Date:  2019-01-08       Impact factor: 7.740

Review 8.  Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine.

Authors:  Omer Adir; Maria Poley; Gal Chen; Sahar Froim; Nitzan Krinsky; Jeny Shklover; Janna Shainsky-Roitman; Twan Lammers; Avi Schroeder
Journal:  Adv Mater       Date:  2019-07-09       Impact factor: 30.849

9.  Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI.

Authors:  Joshua M Goldenberg; Julio Cárdenas-Rodríguez; Mark D Pagel
Journal:  Magn Reson Med       Date:  2018-09-17       Impact factor: 4.668

10.  Prediction of cardiac death after adenosine myocardial perfusion SPECT based on machine learning.

Authors:  David Haro Alonso; Miles N Wernick; Yongyi Yang; Guido Germano; Daniel S Berman; Piotr Slomka
Journal:  J Nucl Cardiol       Date:  2018-03-14       Impact factor: 5.952
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