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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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quality of life, support preventative medicine, and reduce healthcare burdens. Specific objectives include the development of wearable ultrasound imaging systems for doing cardiovascular echography, AI
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such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection, classification, keypoint recognition, image registration, and image synthesis, with the goal of improving
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to improve the clinical care of inpatients with a focus on snakebite envenoming and implementation of Point-Of-Care Ultrasound (POCUS) in Southeast Asia and Africa. Information on the group's main research
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pertaining to the use of low-intensity focused ultrasound in human subjects. The Postdoctoral Research Associate will utilize the skills and expertise granted to them by their education and experience
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Responsibilities: Develop and apply computational models of uterine vascular growth and remodeling (G&R). Integrate Doppler ultrasound data with hemodynamic simulations to test hypotheses related to uterine vascular
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, and scale-up of clean/green extraction and purification technologies, including supercritical fluid extraction, ultrasound-assisted extraction, and microwave-assisted extraction amongst others
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the development of novel reconstruction methods that can concurrently estimate the sound speed and initial pressure distributions within tissue from PACT data. Reconstruction methods for ultrasound computed
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transplantation research, leveraging pulsed focused ultrasound (pFUS) to modulate the tissue microenvironment, optimize islet delivery, and improve engraftment and function in both preclinical and clinical settings
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candidate will contribute to an institutionally supported project aimed at developing a dynamic, real-time treatment planning system for ultrasound-guided high-dose-rate (HDR) prostate brachytherapy