CTSI/TDAI Medical Imageomics Workshop

Complicated xray of a human brain with rows and rows of images
March 24, 2025
8:30AM - 4:30PM
301 Pomerene Hall

Date Range
2025-03-24 08:30:00 2025-03-24 16:30:00 CTSI/TDAI Medical Imageomics Workshop OSU’s Clinical and Translational Science Institute and Translational Data Analytics Institute are co-hosting a workshop with Ohio State researchers on opportunities for translational uses of cutting-edge imageomics in the clinical setting.Imageomics, a new scientific field established by the NSF-funded Imageomics Institute led by Dr. Tanya Berger-Wolf at Ohio State, uses knowledge-guided machine learning to accelerate scientific understanding of organisms through the use of images. Participants in this workshop will explore the incredible opportunities at Ohio State to develop innovative applications of this approach with medical images. Presenters will give 10-minute talks on research ideas, potential use cases, methods and/or resources, as well as visions and strategies for pursuing extramural funding.Presentation signups and lunch RSVPs are closed, but drop-ins are welcome, as is BYO lunch.SCHEDULE8:00 – 8:30 Coffee and Networking 8:30 – 8:45 WelcomeLang Li, Biomedical Informatics, PharmacyTanya Berger-Wolf, Computer Science and Engineering; Electrical and Computing Engineering; Evolution, Ecology and Organismal Biology8:45Introduction to ImageomicsTanya Berger-Wolf, Computer Science and Engineering; Electrical and Computing Engineering; Evolution, Ecology and Organismal Biology9:15An Imageomics Approach for Computer Vision: Insights from the Real WorldWei-Lun Chao, Computer Science and Engineering9:35BioClip and Sparse AutoencodersSam Stevens, Computer Science and Engineering9:55Leveraging Prominence Maps to enhance Multimodal Electrocardiogram AnalysisAitazaz Khan, Rensselaer Polytechnic Institute10:15MRI of the aging brainScott Hayes, Psychology10:35Early Detection of Advanced Neoplasia in IPMNs Using Confocal Laser Endomicroscopy and Artificial IntelligenceAhmed Abdelbaki, Gastroenterology, Hepatology and Nutrition10:55Networking break 11:15Generative AI and Multimodal Learning for Medical ImagingYuan Xue, Biomedical Informatics11:35Multiomics data for precision oncologySimeng Zhu, Radiation Oncology11:55Uncertainty Quantification in Inverse Imaging Problems via Conformal PredictionPhilip Schniter, Electrical and Computing Engineering12:15 – 12:30Networking break 12:30 – 1:30Lunch with whiteboards 1:30Collaborative Connections: Facilitated and Open Space Discussions2:30 Action Items and Closing   301 Pomerene Hall America/New_York public

OSU’s Clinical and Translational Science Institute and Translational Data Analytics Institute are co-hosting a workshop with Ohio State researchers on opportunities for translational uses of cutting-edge imageomics in the clinical setting.

Imageomics, a new scientific field established by the NSF-funded Imageomics Institute led by Dr. Tanya Berger-Wolf at Ohio State, uses knowledge-guided machine learning to accelerate scientific understanding of organisms through the use of images. Participants in this workshop will explore the incredible opportunities at Ohio State to develop innovative applications of this approach with medical images. Presenters will give 10-minute talks on research ideas, potential use cases, methods and/or resources, as well as visions and strategies for pursuing extramural funding.

Presentation signups and lunch RSVPs are closed, but drop-ins are welcome, as is BYO lunch.

SCHEDULE

8:00 – 8:30 Coffee and Networking 
8:30 – 8:45 Welcome

Lang Li, Biomedical Informatics, Pharmacy

Tanya Berger-Wolf, Computer Science and Engineering; Electrical and Computing Engineering; Evolution, Ecology and Organismal Biology

8:45Introduction to ImageomicsTanya Berger-Wolf, Computer Science and Engineering; Electrical and Computing Engineering; Evolution, Ecology and Organismal Biology
9:15An Imageomics Approach for Computer Vision: Insights from the Real WorldWei-Lun Chao, Computer Science and Engineering
9:35BioClip and Sparse AutoencodersSam Stevens, Computer Science and Engineering
9:55Leveraging Prominence Maps to enhance 
Multimodal Electrocardiogram Analysis
Aitazaz Khan, Rensselaer Polytechnic Institute
10:15MRI of the aging brainScott Hayes, Psychology
10:35Early Detection of Advanced Neoplasia in IPMNs Using Confocal Laser Endomicroscopy and Artificial IntelligenceAhmed Abdelbaki, Gastroenterology, Hepatology and Nutrition
10:55Networking break 
11:15Generative AI and Multimodal Learning for Medical ImagingYuan Xue, Biomedical Informatics
11:35Multiomics data for precision oncologySimeng Zhu, Radiation Oncology
11:55Uncertainty Quantification in Inverse Imaging Problems 
via Conformal Prediction
Philip Schniter, Electrical and Computing Engineering
12:15 – 12:30Networking break 
12:30 – 1:30Lunch with whiteboards 
1:30Collaborative Connections: Facilitated and Open Space Discussions
2:30 Action Items and Closing