Search Results - jae+shin

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M11-093L: Development of a Highly Efficient and User-Friendly Software System for Carotid Intima-Media Thickness- Researchers at Arizona State University have developed a highly user-friendly system for semiautomatic CIMT image interpretation. Their contribution is the application of active contour models (snake models) with hard constraints, leading...

Published: 7/29/2024 | Inventor(s): Zongwei Zhou, Jae Shin, Jianming Liang

Keywords(s):

Category(s): Computing & Information Technology, Imaging, Life Science (All LS Techs), Medical Imaging

Fine Tuning of Convolutional Neural Networks for Biomedical Image Analysis

Deep convolutional neural networks (CNN) are useful in a variety of applications ranging from computer vision to signal processing. There is increasing interest in applying CNN to biomedical image analysis, but success is impeded by the lack of large annotated datasets in biomedical imaging. Expert annotation is tedious, time consuming and expensive...

Published: 2/23/2023 | Inventor(s): Jianming Liang, Jae Shin, Zongwei Zhou

Keywords(s):

Category(s): Life Science (All LS Techs), Computing & Information Technology, Medical Imaging, Imaging

Computer-Aided Detection & Visualization of Pulmonary Embolism

Pulmonary embolism (PE) is a common cardiovascular emergency. Mortality rates approaching 30% are common with undiagnosed PE, but they fall to 2% with early diagnosis and treatment, thus, quick and accurate diagnosis is critical. Suspected PE is typically diagnosed with CT pulmonary angiography (CTPA), but this technique has issues with interpretation...

Published: 2/23/2023 | Inventor(s): Jianming Liang, Nima Tajbakhsh, Jae Shin

Keywords(s): Medical Devices and Imaging, Networks, IT, Software and Communication

Category(s): Computing & Information Technology, Imaging, Life Science (All LS Techs), Medical Imaging, Medical Diagnostics/Sensors

Fine Tuning of Convolutional Neural Networks for Biomedical Image Analysis

Deep convolutional neural networks (CNN) are tremendously successful in a variety of applications ranging from computer vision to signal processing. There is increasing interest in applying CNN to biomedical image analysis, but success is impeded by the lack of large annotated datasets in biomedical imaging. Expert annotation is tedious, time consuming...

Published: 2/23/2023 | Inventor(s): Zongwei Zhou, Jae Shin, Jianming Liang

Keywords(s):

Category(s): Computing & Information Technology, Life Science (All LS Techs), Medical Imaging, Imaging

Methods for Rapidly Interpreting Carotid Intima-Media Thickness Videos

Carotid Intima-Media Thickness (CIMT) measurement is a non-invasive, sensitive, and highly reproducible technique for cardiovascular risk stratification. Interpreting a CIMT video involves three operations: (1) select three end-diastolic ultrasound frames (EUFs) in each video; (2) localize a region of interest (ROI) approximately 1 cm distal from the...

Published: 2/23/2023 | Inventor(s): Jianming Liang, Jae Shin, Nima Tajbakhsh

Keywords(s):

Category(s): Life Science (All LS Techs), Computing & Information Technology, Medical Imaging