Faculty

Institution

Unit

Venue

Jing Zhang

Associate Professor

Lamar University

Affiliations

College of Arts and Sciences

Computer Science

Jing Zhang is currently serving as a College Of Arts And Sciences Associate Professor at Lamar University.

Honors

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Experiences

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Education

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Jing Zhang

Lamar University

Associate Professor

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computer vision radiology medical imaging medical image analysis computer science machine learning image analysis cancer imaging neurology neuroimaging oncology neuro-oncology deep learning computational imaging neuroradiology brain tumor research medical image computing feature detection glioblastoma patients mammographic masses computer-extracted image features computer engineering magnetic resonance biomedical imaging nuclear medicine localization machine vision image representation clinical neuroscience magnetic resonance imaging brain imaging medical technology medical biophysics feature extraction breast imaging optical engineering computer-aided diagnosis shape analysis breast oncology tumor heterogeneity sign language text recognition character recognition text detection edge gradient graph spectrum energy-based text extraction character energy scene images link energies error-making patterns preliminary experiments resident error-making patterns weighted boundary points radiogenomic analysis enhancement dynamics pattern recognition image processing video processing

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Fully Automatic Extraction of Magnetic Resonance Image Features in Glioblastoma Patients. Medical Physics (2014)

Jing ZhangDaniel P. BarboriakHasan HobbsMaciej A. Mazurowski

neurologyfeature extractionradiologyneuroimagingradiation oncologybrain tumor researchmedical biophysicsneuroradiologymedical imagingcancer imagingoncologymedical image computingneuro-oncologyimage analysisglioblastoma patientsmedical image analysismedical technology

A Novel Text Detection System Based on Character and Link Energies. IEEE Transactions on Image Processing (2014)

Jing ZhangRangachar Kasturi

link energiescomputer sciencecomputer vision

Computer-Extracted Mr Imaging Features Are Associated With Survival in Glioblastoma Patients. Journal of Neuro-Oncology (2014)

Maciej A. MazurowskiJing ZhangKatherine B. PetersHasan Hobbs

computational imagingneurologymagnetic resonance imagingradiologymagnetic resonanceneuroimagingbrain tumor researchsurvival analysisbrain imagingneuroradiologyclinical neurosciencemedical imagingcancer imagingoncologyglioblastoma patientsneuro-oncologymedical image analysisneuroscience

Modeling Resident Error-Making Patterns in Detection of Mammographic Masses Using Computer-Extracted Image Features: Preliminary Experiments. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2014)

Maciej A. MazurowskiJing ZhangJoseph Y. LoCherie M. KuzmiakSujata V. GhateSora Yoon

computational imagingresident error-making patternscomputer-extracted image featuresdeep learningmammographic massespreliminary experimentsoptical engineeringcomputer-aided diagnosisimage analysismachine learninghealth sciencescomputer visionmedical imagingmedical image computingbiomedical imagingmedical image analysisbreast imagingsystems engineeringradiologyfeature detection

Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype is Associated With Enhancement Dynamics in Mri. (2014)

radiologyenhancement dynamicsradiation oncologycancer imagingbreast cancertumor heterogeneitynuclear medicineradiogenomic analysistumor biologybreast oncology

Using Computer‐Extracted Image Features for Modeling of Error‐Making Patterns in Detection of Mammographic Masses Among Radiology Residents. Medical Physics (2014)

Jing ZhangJoseph Y. LoCherie M. KuzmiakSujata V. GhateSora C. YoonMaciej A. Mazurowski

radiologycomputer-extracted image featuresdeep learningmedical imagingmammographic masseserror-making patternsmedical image analysisfeature detection

Sign Detection Based Text Localization in Scene Images. (2013)

text recognitionamerican sign languagecomputer visioncharacter recognitionmachine visionpattern recognitionimage analysissign detectionimage representationlocalizationsign language

Character Energy and Link Energy-Based Text Extraction in Scene Images. Lecture notes in computer science (2011)

Jing ZhangRangachar Kasturi

informaticsmachine learningcomputer engineeringcomputer visioninformation retrievalscene imagescharacter energyenergy-based text extractioncomputer science

Text Detection Using Edge Gradient and Graph Spectrum. International Conference on Pattern Recognition (2010)

Jing ZhangRangachar Kasturi

text detectionmachine learningcomputer visiongraph spectrumnatural language processingedge gradientpattern recognitioncomputer science

Weighted Boundary Points for Shape Analysis. (2010)

Jing ZhangRangachar Kasturi

shape analysisweighted boundary pointscomputer visionpattern recognition

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Jing Zhang

Associate Professor

Lamar University

Affiliations

College of Arts and Sciences

Computer Science

Jing Zhang is currently serving as a College Of Arts And Sciences Associate Professor at Lamar University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jing Zhang

Lamar University

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Fully Automatic Extraction of Magnetic Resonance Image Features in Glioblastoma Patients. Medical Physics (2014)

Jing ZhangDaniel P. BarboriakHasan HobbsMaciej A. Mazurowski

A Novel Text Detection System Based on Character and Link Energies. IEEE Transactions on Image Processing (2014)

Jing ZhangRangachar Kasturi

link energiescomputer sciencecomputer vision

Computer-Extracted Mr Imaging Features Are Associated With Survival in Glioblastoma Patients. Journal of Neuro-Oncology (2014)

Maciej A. MazurowskiJing ZhangKatherine B. PetersHasan Hobbs

Maciej A. MazurowskiJing ZhangJoseph Y. LoCherie M. KuzmiakSujata V. GhateSora Yoon

Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype is Associated With Enhancement Dynamics in Mri. (2014)

radiologyenhancement dynamicsradiation oncologycancer imagingbreast cancertumor heterogeneitynuclear medicineradiogenomic analysistumor biologybreast oncology

Using Computer‐Extracted Image Features for Modeling of Error‐Making Patterns in Detection of Mammographic Masses Among Radiology Residents. Medical Physics (2014)

Jing ZhangJoseph Y. LoCherie M. KuzmiakSujata V. GhateSora C. YoonMaciej A. Mazurowski

radiologycomputer-extracted image featuresdeep learningmedical imagingmammographic masseserror-making patternsmedical image analysisfeature detection

Sign Detection Based Text Localization in Scene Images. (2013)

text recognitionamerican sign languagecomputer visioncharacter recognitionmachine visionpattern recognitionimage analysissign detectionimage representationlocalizationsign language

Character Energy and Link Energy-Based Text Extraction in Scene Images. Lecture notes in computer science (2011)

Jing ZhangRangachar Kasturi

informaticsmachine learningcomputer engineeringcomputer visioninformation retrievalscene imagescharacter energyenergy-based text extractioncomputer science

Text Detection Using Edge Gradient and Graph Spectrum. International Conference on Pattern Recognition (2010)

Jing ZhangRangachar Kasturi

text detectionmachine learningcomputer visiongraph spectrumnatural language processingedge gradientpattern recognitioncomputer science

Weighted Boundary Points for Shape Analysis. (2010)

Jing ZhangRangachar Kasturi

shape analysisweighted boundary pointscomputer visionpattern recognition

1
10 / page

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Similar Faculty Members

Peter Chang

Institution

University of California, Irvine

radiology

quality technology

Sachin Jambawalikar

Institution

Columbia University

medical imaging

radiology

Pallavi Tiwari

Institution

University of Wisconsin–Madison

radiology

pattern recognition

Khan Iftekharuddin

Institution

Old Dominion University

digital image processing

image processor

Murray Loew

Institution

George Washington University

radiology

biomedical imaging

Khan Iftekharuddin

Institution

University of Memphis

signal processing

biomedical imaging

Bahram Parvin

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pathology

cancer cell

Fusheng Wang

Institution

Stony Brook University

big data

biomedical informatics

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radiology

pattern recognition

Jun Kong

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computer science

machine learning