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Statistical Methods in Imaging Conference 2024

The annual meeting of the ASA Statistics in Imaging Section

May 29-31, 2024

It is our great pleasure to host the 2024 annual meeting of the ASA Statistics in Imaging Section. Statistical Methods in Imaging (SMI) aims to bring together investigators from students to established researchers who are working on methods and applications in a diverse array of imaging science, including but not limited to biomedical imaging, immunofluorescence imaging and geospatial imaging.

The conference will be held on May 29–31 at JW Marriott Indianapolis, with an evening social event and poster session on Wednesday, May 29, 2024.

View the conference schedule and program

Register Now

Registration is open for the 2024 Statistical Methods in Imaging Conference.

Faculty attendee: $400
Student or postdoc attendee: $200

Keynote Speakers

portrait of bin yu, an asian woman wearing glass in front of a leafy plant

Bin Yu, PhD
 Chancellor’s Distinguished Professor
Class of 1936 Second Chair
Department of Statistics and Electrical Engineering and Computer Sciences
University of California, Berkeley

portrait of robert kass, a white man in glasses with grey hair

Robert E. Kass, PhD
 Maurice Falk Professor of Statistics and Computational Neuroscience
Department of Statistics and Data Science, Machine Learning Department, and Neuroscience Institute
Carnegie Mellon University 

portrait of andy saykin, a white man wearing glasses with gray hair and beard

Andrew J. Saykin, PsyD
Raymond C. Beeler Professor of Radiology
Director, Center for Neuroimaging and Indiana Alzheimer’s Disease Research Center
Departments of Radiology and Imaging Sciences, Psychiatry, Neurology, and Medical and Molecular Genetics
Indiana University School of Medicine

Haoda Fu, Eli Lilly 
Tutorial on Deep Learning and Generative AI

Ivo Dinov, University of Michigan 
Complex-Time Representation of Spatiotemporal Processes and Spacekime Analytics

Haochang Shou, Ren Zhang and George Aidinis, University of Pennsylvania
NiChart: A Software Tool for Building Machine Learning Oriented Neuroimaging Brain Chart

The SMI 2024 organizing committee welcomes your submission of proposals for invited oral sessions. Each session consists of four speakers or three speakers and one discussant. To facilitate the organization of the parallel sessions, we ask that each session has an emphasis on either “Statistical Methods” or “Collaborative Case Study.”

“Statical Methods” includes presentations that focus on new developments in statistical theory and methodologies.

“Collaborative Case Study” includes presentations that focus on the analyses of imaging data and the statistical challenges present in the analyses.

The submission deadline is March 23, 2024.

Submit a proposal

Poster abstract submission is open until Friday, April 12, 2024.

Submit poster abstracts

There will be two tracks for the student paper competition: Theory and Methods, and Case Studies and Applications. The selected winners for each track will be invited to present their papers in a session at the conference. The first-place winner and runner-up for each track will receive a cash prize of $1,000 and $500, respectively.

Eligibility

To be eligible for the student paper competition, the student must satisfy the following criteria:

  • Be a degree candidate at an accredited institute in any term during 2023 and 2024.

  • Be the first author of the paper. The paper must not be published or accepted for publication at the time of submission.

  • Be a current member of the ASA Statistics in Imaging Section.

  • Be able to present the paper at SMI 2024.

Submission details

The deadline for submission to the student paper competition is April 5, 2024. Submission should be sent to Dr. Yi Zhao (yz125@iu.edu) with subject line either “SMI 2024: Theory and Methods” or “SMI 2024: Case Studies and Applications” depending on the intended track of the submission. The email should contain the following four attachments in PDF format:

  • The applicant’s curriculum vitae.

  • An unblinded version of the manuscript with no more than 26 pages, including the abstract, figures, tables, and references. The manuscript must be double-space with at least 11-point font size.

  • A blinded version of the manuscript.

  • A letter from a faculty member familiar with the student’s work. The faculty letter must include a verification of the applicant’s student status and, in the case of joint authorship, should indicate what is the contribution of the application to the paper.

A room block from May 28-June 1, 2024 is available at JW Marriott Indianapolis (10 S West St., Indianapolis, IN 46204) and the Courtyard by Marriott Indianapolis Downtown (601 West Washington Street, Indianapolis, IN 46204).

Prices start at $207 per night at JW Marriott Indianapolis and $145 per night at the Courtyard by Marriott Indianapolis Downtown.

Make a reservation

IU Research and Creative Activity Conference Grant

 

IU trident with Biostatistics and Health Data Science text

 

Indiana Alzheimer’s Disease Research Center (IADRC) Data Core

 

IU trident with Center for Computational Biology and Informatics text

 

Gaston Lab

Questions?

Please contact Yi Zhao, PhD, at yz125@iu.edu.

Conference Schedule


Wednesday, May 29

8:30–10:00 a.m. Tutorial: Complex-time representation of spatiotemporal processes and spacekime analytics
Instructor: Ivo Dinov
Location: Room 101		 Tutorial: Deep learning and generative AI
Instructor: Haoda Fu
Location: Room 102
10:00–10:10 a.m. Break
10:10–11:40 a.m. Tutorial: NiChart: a software tool for building machine learning oriented neuroimaging brain chart
Instructors: George Aidinis, Haochang Shou and Ren Zheng
Location: Room 101		 Tutorial: Deep learning and generative AI
Instructor: Haoda Fu
Location: Room 102
11:40 a.m.–1:10 p.m. Lunch break
1:10–2:40 p.m.
 Student Paper Competition Winners
Location: Room 101/102
2:40–2:50 p.m. Break
2:50–3:50 p.m. Keynote: Dr. Bin Yu
Location: Room 101/102
3:50–6:00 p.m. Poster Presentations/Mixer
Location: Room 103/104

 

Thursday, May 30

8:00–8:30 a.m. Breakfast 
8:30–10:10 a.m. Longitudinal imaging and biostatistical methods
Organizer: Ivo Dinov
Speakers: Sharmistha Guha, Hossein Moradi, Ranjan Maitra, Dan Rowe
Location: Room 103/104		 Expanding neuroimaging research: integrating insights from biomedical sciences
Organizer: Jun Young Park
Speakers: Sarah M. Weinstein, Andrew An Chen, Bingxin Zhao, Jun Young Park
Location: Room 102
10:10–10:20 a.m. Break
10:20–11:20 a.m. Keynote: Dr. Andrew J. Saykin
Location: Room 103/104
11:20 a.m.–1:00 p.m. Lunch break
1:00–2:15 p.m. Statistical learning methods for neuroscience
Organizer: Shuheng Zhou
Speakers: Jian Kang, Chunming Zhang, Shuheng Zhou
Location: Room 103/104		 Recent developments in statistical methodology for neuroimaging data analysis
Organizer: Dayu Sun
Speakers: Xin Ma, Shuo Chen, Joshua Lukemire
Location: Room 102
2:15–2:25 p.m. Break
2:25–4:05 p.m. Statistical inference in neuroimaging
Organizer: Eardi Lila
Speakers: Benjamin Risk, Raphiel Murden, Daniel Kessler, Simon Vandekar
Location: Room 103/104		 New developments for harmonization, processing and modeling for imaging data
Organizer: Yize Zhao
Speakers: Dana Tudorascu, Selena Wang, Zhengwu Zhang, Tsung-Hung Yao
Location: Room 102
4:05–4:15 p.m. Break
4:15–5:30 p.m. Invariance and distribution/density objects in neuroimaging studies
Organizer: Yi Zhao
Speakers: Bonnie Smith, Changbo Zhu, Yi Zhao
Location: Room 103/104		 Advances in statistical methods for neuroimaging data
Organizer: Selena Wang
Speakers: Dayu Sun, Yaotian Wang, Zhiling Gu
Location: Room 102

 

Friday, May 31

8:00–8:30 a.m. Breakfast
8:30–10:10 a.m. Graph-based network connectomes analysis
Organizer: Simon Vandekar
Speakers: Eardi Lila, Sean L. Simpson, Panpan Zhang, Tingting Zhang
Location: Room 103/104		 Statistical methods for dissecting tumor microenvironment based on spatial proteomics datasets
Organizer: Souvik Seal
Speakers: Thao Vu, Jiangmei Xiong, Julia Wrobel, Junsouk Choi
Location: Room 102
10:10–10:20 a.m. Break
10:20–11:20 a.m. Keynote: Dr. Robert E. Kass
Location: Room 103/104
11:20 a.m.–1:00 p.m. Lunch break
1:00–2:40 p.m. When machine learning and generative models meet imaging, network and point cloud data
Organizer: Zhengwu Zhang
Speakers: Mingxia Liu, Maoran Xu, Yuexuan Wu, Xinyi Li
Location: Room 103/104		 Novel statistical inference methods with applications
Organizer: Julia Fisher
Speakers: Fatma Parlak, Daniel Adrian, Yueyang Shen, Jose Rodriguez-Acosta
Location: Room 102
2:40–2:50 p.m. Break
2:50–4:30 p.m. Frontiers in medical imaging: harnessing artificial intelligence and statistical analysis for breakthrough insights
Organizer: Lei Liu
Speakers: Yize Zhao, Yifan Peng, Lei Liu, Haoda Fu
Location: Room 103/104
4:30–4:40 p.m. Closing remarks
Location: Room 103/104