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Project Descriptions
Spring 2025

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Showing 4 projects out of 4 found. On page 1 out of 1.
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Machine learning approaches to image processing for alpha-particle radiopharmaceutical microdosimetry

Youngho Seo - Professor, UC San Francisco

Status: Full- no new appr needed     Weekly Hours: 6-8 hrs     Location: Off Campus

Keywords: cancer, radiopharmaceutical therapy, targeted alpha therapy, alpha particles, image processing, dosimetry, machine learning, digital autoradiography Radiopharmaceutical therapy with alpha-particle emitters (⍺RPT) is an emerging cancer treatment method that has demonstrated high efficacy in clinical trials for several types of cancer. Improvement of these drugs requires thorough pre-clinical...

 Biological & Health Sciences   Engineering, Design & Technologies

Internship in Molecular Imaging Research

Youngho Seo - Professor, UC San Francisco

Status: Current Term Now Closed     Weekly Hours: 9-11 hrs     Location: Off Campus

Molecular imaging is a powerful method of interrogating biochemical properties of imaging subjects. Particularly in research, we use small animal positron emission tomography (PET) and single photon emission computed tomography (SPECT), which are combined with x-ray computed tomography (CT). More commonly, these imaging modalities are known as microPET/CT...

 Biological & Health Sciences   Engineering, Design & Technologies

Development of new radiation detector concept for imaging of alpha radiotherapy

Youngho Seo - Professor, UC San Francisco

Status: Full- no new appr needed     Weekly Hours: 6-8 hrs     Location: Off Campus

Radiotherapy with alpha-emitting nuclides is an extremely promising technique in cancer therapy. The very short range of alpha particles compared to beta particles allows to deliver a much higher therapeutical dose to the lesion, sparing healthy tissue. A fundamental problem with this technique is the inability of current radiation...

 Biological & Health Sciences   Engineering, Design & Technologies

Deep learning approaches to predicting Alzheimer's disease progression using both metabolic and amyloid PET imaging data

Youngho Seo - Professor, UC San Francisco

Status: Full- no new appr needed     Weekly Hours: 6-8 hrs     Location: Off Campus

Keywords: deep learning, artificial intelligence, prediction, Alzheimer's disease, positron emission tomography, PET, image processing, FDG, glucose metabolism, amyloid Alzheimer's disease (AD) is the most common type of dementia, and a debilitating condition that affects a large number of aging populations. When symptoms occur, there are a very limited set of...

 Biological & Health Sciences   Engineering, Design & Technologies

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