Difference between revisions of "SOCR AmStat SII 2023"

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=== Data Science and Predictive Analytics (DSPA2)===
 
=== Data Science and Predictive Analytics (DSPA2)===
[[Image:Data_Science_and_Predictive_Analytics_2ed(book_cover).png|100px|thumbnail|right| [https://community.amstat.org/statisticsinimagingsection/home AmStats SII Session] ]]
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[[Image:Data_Science_and_Predictive_Analytics_2ed(book_cover).png|100px|thumbnail|right| [https://dspa2.predictive.space/ DSPA2] ]]
  
 
* Speaker: [https://www.socr.umich.edu/people/dinov/ Ivo Dinov]
 
* Speaker: [https://www.socr.umich.edu/people/dinov/ Ivo Dinov]

Revision as of 08:47, 3 March 2023

SOCR News & Events: 2023 AmStat SII Section Seminar Data Science and Predictive Analytics (DSPA2)

AmStats SII Session

Overview

This monthly webinar is part of the ongoing Statistics in Imaging (SII) section of the American Statistical Association (AmStat).

Organizers

Session Logistics

Presentations

Data Science and Predictive Analytics (DSPA2)

Denoising Diffusion Models in Medical Imaging

  • Speaker: Ali Bilgin
  • Title: Denoising Diffusion Models in Medical Imaging
  • Abstract: Over the past decade, generative modeling using neural networks has received significant attention. Denoising diffusion models are the latest generation of generative models and over the last two years, they have been used in various image processing applications. In this talk, I will provide an introduction to these models and discuss their use in some medical imaging applications.





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