Faculty

Institution

Unit

Venue

Lin-Ching Chang

Professor & Director of Data Analytics Full Professor

Catholic University of America

Affiliations

School of Engineering

Department of Electrical Engineering and Computer Science

Lin-ching Chang is currently serving as an Electrical Engineering And Computer Science Professor & Director of Data Analytics Full Professor at Catholic University of America.

Honors

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Experiences

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Education

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Lin-Ching Chang

Catholic University of America

Professor & Director of Data Analytics Full Professor

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medical imaging biomedical imaging neuroscience neuroimaging machine learning health sciences computer science medical image analysis image analysis computational imaging magnetic resonance imaging computed tomography cardiology computer vision medicine scientific computing magnetic resonance medical image computing microscopy image segmentation stroke stroke rehabilitation information technology respiratory medicine space weather brain imaging upper extremity 3d imaging optical engineering image reconstruction photomedicine electronic commerce neurorehabilitation early detection independent component analysis robust estimation saudi arabia machine learning techniques mild cognitive impairment digital holographic microscopy spgr signals biomedical analysis cancer imaging cancer cells online information estimation theory brain organization beam optics digital imaging optical metrology optical information processing data sets benchmark datasets accelerometers method validation cancer biology biomedical optics quantitative phase imaging oncologic imaging mobile commerce social medium monitoring online customer behavior technology acceptance models mobile marketing image denoising technology adoption outlier rejection least squares methods algorithmic framework developmental changes structural brain networks novel framework diffusion tensor mri physiological noise artifacts low redundancy datasets diffusion tensor pattern recognition biomedical data analysis biomedical informatics computer-aided diagnosis medical image processing computational intelligence biomedical data science data science biomedical computing radiology ai healthcare

Notable Scholarly Works

Notable Federal Grants

Collaborators

Automated Assessment of Global Left Ventricular Strain Versus Ejection Fraction Using Contrast-Enhanced Cine Computed Tomography Angiography. Journal of cardiovascular computed tomography (2024)

A. SunL. HsuL. ChangW. BandettiniM. Chen

cardiologycontrast-enhanced cineradiologyct scancardiovascular imagingmedical imagingcomputed tomographytomography angiographyrespiratory medicineejection fractionmedical image analysis

Automated Estimation of Left Myocardial Strain From Cine Cta: A Comparison With Cine Mri. 2021 IEEE International Conference on Big Data (Big Data) (2024)

An-Yu SunLi-Yueh HsuLin-Ching ChangW Patricia BandettiniMarcus Y. Chen

computational imagingmagnetic resonance imagingdata sciencebig datacine ctaneuroimagingcardiovascular imagingimage reconstructionimage analysismachine learningcine mriscientific computingmedical imagingmedical image computingbiomedical imagingmedical image analysisradiologycomputed tomographyleft myocardial strainradiomicsneuroscience

Classifying Upper Extremity Motor Function Using Deep Learning and Third-Person Video Data. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Tan TranLin-Ching ChangPeter Lum

rehabilitationvideo understandingupper extremitydeep learningmachine learning researchdata sciencethird-person video databig datadigital medicinemotor controlmachine learningscientific computinghuman pose estimationneurorehabilitationcomputer visionvideo interpretationmachine visiongesture recognitionkinesiology

Detection and Remediation of Ghost Artifacts in Low B-Value Diffusion Mri With Ghost Re-Synthetization and 4-Way Phase-Encoded Data. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024)

Anh ThaiCarlo PierpaoliLin-Ching ChangM. Okan Irfanoglu

magnetic resonance imagingradiologymagnetic resonancemedical imagingghost re-synthetization

Exploiting Four-Way Phase-Encoding Benefits for Robust Detection and Correction of Epi Artifacts: Application to Residual Ghosts in Diffusion Mri. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Anh ThaiLin Ching ChangCarlo PierpaoliM. Okan Irfanoglu

computational imagingmagnetic resonance imagingimage restorationepi artifactsdiffusion mrimagnetic resonancerobust detectionfour-way phase-encoding benefitsneuroimagingbrain imagingresidual ghostsmedical imagingimage analysisbiomedical imagingneuroscience

How Accurate Are Machine Learning Models in Predicting Anti-Seizure Medication Responses: A Systematic Review. Epilepsy & Behavior (2024)

Ahmed AbdaltawabLin-Ching ChangMohammed MansourMohamad Koubeissi

public healthanti-seizure medication responsessystematic reviewmachine learningbehavioral sciencesepilepsy

Performance Evaluation of Multi-Contrast Dixon Mri and Ct for Abdominal Fat and Muscle Segmentation Using a Unet CNN. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Andrew HellerAndrew LiuLin-Ching ChangGregg CohenElizabeth C. JonesLi-Yueh Hsu

computational imagingmagnetic resonance imagingdeep learningbig datadigital medicineunet cnndiagnostic imagingimage reconstructionmulti-contrast dixon mriabdominal fatmachine learningscientific computingmedical imagingmedical image computingdigital image processingbiomedical imagingmedical image analysisradiologybiomedical engineeringcomputed tomographymuscle segmentationcomputer science

Classification of Functional and Nonfunctional Hand Movement Using Deep Learning and First-Person View Video. (2023)

Tan TranLin-Ching ChangPeter S. Lum

rehabilitationkinesiologynonfunctional hand movementmotion analysiscomputer visionmovement analysishuman movementdeep learningpattern recognitionmotor controlfirst-person view videoactivity recognitionneuroscience

EDITORIAL: Women in AI Medicine and Public Health 2022. Frontiers in Big Data (2023)

Lin-Ching ChangAnastasia Angelopoulou

public healthgender studiesai medicinebig datawomen's studieswomen's healthgender inequality

Enhanced Arrhythmia Classification Through Feature Engineering and Hierarchical Modeling. 2021 IEEE International Conference on Big Data (Big Data) (2023)

Fahad HakamiLin-Ching Chang

cardiologyarrhythmia classificationhierarchical modelingfeature engineeringdata science

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Lin-Ching Chang

Professor & Director of Data Analytics Full Professor

Catholic University of America

Affiliations

School of Engineering

Department of Electrical Engineering and Computer Science

Lin-ching Chang is currently serving as an Electrical Engineering And Computer Science Professor & Director of Data Analytics Full Professor at Catholic University of America.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Lin-Ching Chang

Catholic University of America

Professor & Director of Data Analytics Full Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Automated Assessment of Global Left Ventricular Strain Versus Ejection Fraction Using Contrast-Enhanced Cine Computed Tomography Angiography. Journal of cardiovascular computed tomography (2024)

A. SunL. HsuL. ChangW. BandettiniM. Chen

cardiologycontrast-enhanced cineradiologyct scancardiovascular imagingmedical imagingcomputed tomographytomography angiographyrespiratory medicineejection fractionmedical image analysis

Automated Estimation of Left Myocardial Strain From Cine Cta: A Comparison With Cine Mri. 2021 IEEE International Conference on Big Data (Big Data) (2024)

An-Yu SunLi-Yueh HsuLin-Ching ChangW Patricia BandettiniMarcus Y. Chen

Classifying Upper Extremity Motor Function Using Deep Learning and Third-Person Video Data. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Tan TranLin-Ching ChangPeter Lum

Anh ThaiCarlo PierpaoliLin-Ching ChangM. Okan Irfanoglu

magnetic resonance imagingradiologymagnetic resonancemedical imagingghost re-synthetization

Exploiting Four-Way Phase-Encoding Benefits for Robust Detection and Correction of Epi Artifacts: Application to Residual Ghosts in Diffusion Mri. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Anh ThaiLin Ching ChangCarlo PierpaoliM. Okan Irfanoglu

How Accurate Are Machine Learning Models in Predicting Anti-Seizure Medication Responses: A Systematic Review. Epilepsy & Behavior (2024)

Ahmed AbdaltawabLin-Ching ChangMohammed MansourMohamad Koubeissi

public healthanti-seizure medication responsessystematic reviewmachine learningbehavioral sciencesepilepsy

Performance Evaluation of Multi-Contrast Dixon Mri and Ct for Abdominal Fat and Muscle Segmentation Using a Unet CNN. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Andrew HellerAndrew LiuLin-Ching ChangGregg CohenElizabeth C. JonesLi-Yueh Hsu

Classification of Functional and Nonfunctional Hand Movement Using Deep Learning and First-Person View Video. (2023)

Tan TranLin-Ching ChangPeter S. Lum

EDITORIAL: Women in AI Medicine and Public Health 2022. Frontiers in Big Data (2023)

Lin-Ching ChangAnastasia Angelopoulou

public healthgender studiesai medicinebig datawomen's studieswomen's healthgender inequality

Enhanced Arrhythmia Classification Through Feature Engineering and Hierarchical Modeling. 2021 IEEE International Conference on Big Data (Big Data) (2023)

Fahad HakamiLin-Ching Chang

cardiologyarrhythmia classificationhierarchical modelingfeature engineeringdata science

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neural networks

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biomedical imaging

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biomedical imaging

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deep learning

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medical imaging

neuroscience

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biomedical image analysis

visualization

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applied artificial intelligence

intelligent computing

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digital image processing

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fmri pattern separation

brain mapping