Miles N. Wernick

Research.com Recognitions

• 2015 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Best Publications

• A support vector machine approach for detection of microcalcifications

  I. El-Naqa;Yongyi Yang;M.N. Wernick;N.P. Galatsanos

  748
  Citations

• Machine Learning in Medical Imaging

  Miles Wernick;Yongyi Yang;Jovan Brankov;Grigori Yourganov

  453
  Citations

• SPATIAL RELATIONSHIPS IN EARLY SIGNALING EVENTS OF FLOW-MEDIATED ENDOTHELIAL MECHANOTRANSDUCTION

  Peter F. Davies;Kenneth A. Barbee;Michael V. Volin;Andre Robotewskyj

  433
  Citations

• A similarity learning approach to content-based image retrieval: application to digital mammography

  I. El-Naqa;Yongyi Yang;N.P. Galatsanos;R.M. Nishikawa

  367
  Citations

• Multiple-image radiography

  Miles N Wernick;Oliver Wirjadi;Oliver Wirjadi;Dean Chapman;Zhong Zhong

  301
  Citations

• Relevance vector machine for automatic detection of clustered microcalcifications

  Liyang Wei;Yongyi Yang;R.M. Nishikawa;M.N. Wernick

  212
  Citations

• Prostate Cancer Localization With Multispectral MRI Using Cost-Sensitive Support Vector Machines and Conditional Random Fields

  Yusuf Artan;Masoom A Haider;Deanna L Langer;Theodorus H van der Kwast

  182
  Citations

• Prostate Cancer Segmentation With Simultaneous Estimation of Markov Random Field Parameters and Class

  Xin Liu;D.L. Langer;M.A. Haider;Y. Yang

  176
  Citations

• Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI.

  Sedat Ozer;Deanna L. Langer;Xin Liu;Masoom A. Haider

  169
  Citations

• Fast spatio-temporal image reconstruction for dynamic PET

  M.N. Wernick;E.J. Infusino;M. Milosevic

  156
  Citations

• Tomographic image reconstruction based on a content-adaptive mesh model

  J.G. Brankov;Yongyi Yang;M.N. Wernick

  129
  Citations

• A fast approach for accurate content-adaptive mesh generation

  Yongyi Yang;M.N. Wernick;J.G. Brankov

  127
  Citations

• A physical model of multiple-image radiography

  Gocha Khelashvili;Jovan G Brankov;Dean Chapman;Mark A Anastasio

  103
  Citations

• Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging With Convolutional Denoising Networks

  Albert Juan Ramon;Yongyi Yang;P. Hendrik Pretorius;Karen L. Johnson

  85
  Citations

• FDG PET Parkinson's disease-related pattern as a biomarker for clinical trials in early stage disease.

  Dawn C. Matthews;Hedva Lerman;Ana Lukic;Randolph D. Andrews

  84
  Citations

• A computed tomography implementation of multiple-image radiography.

  Jovan G. Brankov;Miles N. Wernick;Yongyi Yang;Jun Li

  83
  Citations

• An evaluation of methods for detecting brain activations from functional neuroimages

  Ana S. Lukic;Miles N. Wernick;Stephen C. Strother

  82
  Citations

• An extended diffraction-enhanced imaging method for implementing multiple-image radiography.

  Cheng Ying Chou;Mark A. Anastasio;Jovan G. Brankov;Miles N. Wernick

  78
  Citations

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

  David Haro Alonso;Miles N. Wernick;Yongyi Yang;Guido Germano

  77
  Citations

• Application of the Karhunen-Loeve transform to 4D reconstruction of cardiac gated SPECT images

  M.V. Narayanan;M.A. King;E.J. Soares;C.L. Byrne

  76
  Citations

• Image reconstruction for dynamic PET based on low-order approximation and restoration of the sinogram

  Chien-Min Kao;J.T. Yap;J. Mukherjee;M.N. Wernick

  72
  Citations

• Optimization of iterative reconstructions of /sup 99m/Tc cardiac SPECT studies using numerical observers

  M.V. Narayanan;H.C. Gifford;M.A. King;P.H. Pretorius

  71
  Citations

• A computational model to generate simulated three-dimensional breast masses.

  Luis de Sisternes;Jovan G. Brankov;Adam M. Zysk;Robert A. Schmidt

  59
  Citations