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