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DTSTART;TZID=America/Los_Angeles:20260301T000000
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DTSTAMP:20260421T152904
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UID:10009248-1772323200-1775001599@events.ucsc.edu
SUMMARY:March is Hummingbird Month at the UCSC Arboretum & Botanic Garden
DESCRIPTION:March is Hummingbird Month at the UCSC Arboretum & Botanic Garden \nThis time of year\, the Arboretum hosts both Anna’s and Allen’s hummingbirds\, the two most common species in Northern California. “The density of hummingbirds—the number per area in the Arboretum—is ridiculously high\,” says Bruce Lyon\, Professor Emeriti of Ecology and Evolutionary Biology at UCSC. “You can watch them feeding on ﬂowers\, you can watch their courtship\, you can watch them chasing different species. It’s a great opportunity to see some pretty amazing hummingbird biology.” \nIn celebration of this special time of year\, we invite you to visit the garden as much as possible! We will have presentations\, workshops\, and tours throughout the month. See our webpage for a schedule of activities and more information about hummingbirds and the abundance of plants at the Arboretum that attract them. \nWe will also feature hummingbird merchandise and hummingbird-attracting plants at our gift shop and nursery. Visit Norrie’s Gift & Garden Shop\, Tuesdays thru Sundays from 10 – 4. For more information visit: https://arboretum.ucsc.edu/garden-shop/ \nAll events are free with paid admission: Adults: $10\, Seniors $8 and Youth 4-17 $5. Current UCSC students are free. Rain cancels outdoor activities. \nCurrent Arboretum members are always free and enjoy other great benefits year-round!  Join Today at https://arboretum.ucsc.edu/get-involved/join-us/    \n  \n 
URL:https://events.ucsc.edu/event/march-is-hummingbird-month-at-the-ucsc-arboretum-botanic-garden/
LOCATION:Arboretum\, 122 Arboretum Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20260310T163000
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DTSTAMP:20260421T152904
CREATED:20260217T184921Z
LAST-MODIFIED:20260217T184921Z
UID:10009240-1773160200-1773163800@events.ucsc.edu
SUMMARY:Mashhadi\, N. (CSE) - Compositional\, Clinically Conditioned\, and Confound-Aware Deep Learning for Alzheimer’s Disease Neuroimaging
DESCRIPTION:Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and a leading cause of dementia. Neuroimaging and clinical biomarkers can reveal early disease changes\, but building reliable machine learning models is difficult because data come from different scanners and sites\, some modalities are missing\, labeled cohorts are limited\, and factors such as age and scanner/site effects can bias results. \nThis dissertation develops machine learning methods for robust\, interpretable\, and controllable analysis of AD-related neuroimaging data. First\, I introduce a modular\, graph-based framework for multimodal AD detection that treats datasets and models as nodes and directed edges that can be combined to build more complex predictors. Second\, I propose a clinically conditioned 3D VAE-GAN to synthesize brain MRI\, enhanced with diffusion-driven sampling in clinical feature space to improve realism and control\, supporting data augmentation. Third\, I present a disentangled 3D masked autoencoder (MAE) that learns separated representations for age\, pathology\, and scanner effects\, making it possible to isolate and adjust age\, pathology\, or scanner effects\, while remaining reliable across sites. \nTogether\, these contributions advance practical methods for modular prediction\, controllable image generation\, and confound-aware representation learning in neuroimaging\, with an emphasis on generalization and interpretability for clinically relevant applications. \nEvent Host: Najmeh Mashhadi\, Ph.D. Candidate\, Computer Science and Engineering \nAdvisor: Razvan Marinescu \nZoom- https://ucsc.zoom.us/j/98195204428?pwd=nyfvbmd9t81Xj5Z3yPPVtu4R58CXHq.1 \nPasscode- 688069
URL:https://events.ucsc.edu/event/mashhadi-n-cse-compositional-clinically-conditioned-and-confound-aware-deep-learning-for-alzheimers-disease-neuroimaging/
CATEGORIES:Ph.D. Presentations
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