| Case School of Engineering

Graduate Certificates : Applied Data Science

Data science is an area of specialization in the core fields of computer science, statistics and epidemiology. The transformations seen from data science advances have become so broad that they now cut across all areas of endeavor and are seeing transformative impact in a breadth of disciplines including science, engineering, medicine, and business.

Characterization of Ultra-widefield Angiographic Vascular Features in Diabetic 2 Retinopathy with Automated Severity Classification

Read more about Characterization of Ultra-widefield Angiographic Vascular Features in Diabetic 2 Retinopathy with Automated Severity Classification

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

Read more about A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT

Read more about A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT

Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation

Read more about Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation

Harnessing non-destructive 3D pathology

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Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma

Read more about Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma

Prospective Evaluation of Repeatability and Robustness of Radiomic Descriptors in Healthy Brain Tissue Regions In Vivo Across Systematic Variations in T2-Weighted Magnetic Resonance Imaging Acquisition Parameters

Read more about Prospective Evaluation of Repeatability and Robustness of Radiomic Descriptors in Healthy Brain Tissue Regions In Vivo Across Systematic Variations in T2-Weighted Magnetic Resonance Imaging Acquisition Parameters

Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans

Read more about Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans

Amyloid Deposition Is Greater in Cerebral Gyri than in Cerebral Sulci with Worsening Clinical Diagnosis Across the Alzheimer’s Disease Spectrum

Read more about Amyloid Deposition Is Greater in Cerebral Gyri than in Cerebral Sulci with Worsening Clinical Diagnosis Across the Alzheimer’s Disease Spectrum