The Statistical Methods in Imaging Conference 2020

May 18-21, 2020

The Statistical Methods in Imaging (SMI) conference is the annual meeting of the American Statistical Association (ASA) Statistics in Imaging Section.

The SMI 2020 conference invites submissions of proposals for invited oral sessions and collaborative case study sessions. 

Conference Sessions

The SMI 2020 conference invites submissions of proposals for invited oral sessions and collaborative case study sessions. 

Invited oral sessions: 3 speakers per session. Please include a session title, names and affiliations of the speakers, and titles of the talks.

The collaborative case-studies: Please include a session title, titles of the talks, names and affiliations of 2-3 speakers. The session can feature a multidisciplinary team of a statistician and the field collaborators or feature 2-3 imaging scientists.

Please submit the proposals to smi2020emory@gmail.com 

The submission deadline is extended to November 18, 2019.

Please also be on the lookout for upcoming announcements for the Poster Session and SMI2020 Student Paper Competition!

Accommodation

Emory Conference Center Hotel

The SMI 2020 Conference has negotiated a courtesy rate with the Emory conference center hotel for $176 per night (tax and fees not included) for the nights of May 17-May 22, 2020 upon availability. Please click here to reserve a room. Reservations with the courtesy rate will be accepted based upon availability up until Sunday, April 6, 2020. Reservations can be canceled up to 72 hours before the stay at no charge.

Student Housing:  SMI2020 has arranged student housing with the newly renovated Clifton Tower at Emory which is across the street from the RSPH. The rates will range between $25-$50 per night.

Please visit our conference website scholarblogs.emory.edu/smi2020 for more information on accommodation and reservations.


Agenda

Keynote Speaker

Tom Nichols

Wellcome Trust Senior Research Fellow at the Big Data Institute, and 
Professor of Neuroimaging Statistics, Nuffield Department of Population Health,
University of Oxford

Short Course

Introduction to Deep Learning (8:30am-12:30pm on 05/18/2020)

This workshop will introduce the fundamentals of the main types of deep learning models.  You will also learn use cases of deep learning through hands-on exercises using R and Python in the cloud environment. Everything is done through an internet browser in Databricks free cloud environment. Topics include:  Feedforward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Deep Learning Hands-on (Python and R).

Instructor: Hui Lin, Head of Data Science at Netlify, she is the co-founder of Central Iowa R User Group, blogger of https://scientistcafe.com/, and 2018 Program Chair of ASA Statistics in Marketing Section. She holds an MS and Ph.D. in statistics from Iowa State University.

 

 

Event Type

Host

Emory Department of Biostatistics and Bioinformatics

Sponsor

Statistics in Imaging Section of the American Statistical Association
Emory Woodruff Health Sciences Center
Emory Center for Biomedical Imaging Statistics (CBIS)
Emory RSPH and Department of Biostatistics and Bioinformatics
Georgia Clinical & Translational Science Alliance
National Institute of Statistical Sciences

Location

Rollins Auditorium of the Claudia Nance Rollins Building
The Rollins School of Public Health
Emory University
Atlanta
,
Georgia
,
30303
United States
Keynote Speaker Tom Nichols, University of Oxford