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Explore Recognize Celebrate! SCIENTIFIC SESSIONS
UCSF & FAU Workshops
MARCH 29-30, 2023
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Scientific Sessions represent one of the first collaborative projects between the Friedrich-Alexander Universität of Erlangen-Nürnberg (FAU) and the Center for Intelligent Imaging (ci2) at UCSF.


8:30 AM 9:15 AM Meet & Greet / Light Breakfast All Helen Diller Cancer Research Building, HD 160
9:00 AM 9:15 AM Welcome and Introduction
9:15 AM 9:30 AM Friedrich-Alexander Universität of Erlangen-Nürnberg (FAU)
Christopher Hess, MD, PhD
Sharmila Majumdar, PhD
Andreas Rauschecker, MD, PhD
Joachim Hornegger, PhD
9:30 AM 3:45 PM SCIENTIFIC TALKS
9:30 AM 9:50 AM Machine Learning for MR Image Acquisition and Reconstruction
9:50 AM 10:10 AM Inline AI for Automated and Quantitative CMR Imaging
Florian Knoll, PhD
Marc Vornehm
Erik Goesche
Yang Yang, PhD
10:10 AM 10:30 AM Task-Based Reduced k-Space Image Reconstruction with AI Aniket Tolpadi
10:30 AM 10:50 AM Multi-scale AI Driven Imaging of Aging: from Cells to Human Valentina Pedoia, PhD
10:50 AM 11:10 AM Mapping Brain Structure at Cellular Resolution
11:10 AM 11:15 AM BREAK
11:15 AM 11:35 AM Domain Generalization and Label-Efficient Learning in Digital Pathology and Beyond
11:35 AM 11:55 AM Cracking the Black Box of Deep Sequenced-Based Protein-Protein Interaction Prediction
11:55 AM 12:15 PM Automated Generation of Radiology Report Impressions from FreeText Findings Using Sentence Transformers
12:15 PM 12:35 PM Information Commons
12:35 PM 1:40 PM Lunch Break – Boxed lunches
1:40 PM 2:00 PM Long-Tail Problems in Medical Image Analysis
2:00 PM 2:20 PM Image Processing for Neuroradiologic Diagnosis
2:20 PM 2:40 PM Robust and Ultralow-Parameter Denoising in Computed Tomography
2:40 PM 3:00 PM Geometry Gradients for CT Motion Compensation
3:00 PM 3:20 PM Assessment of Musculoskeletal Health at the Micro-scale by Photon Counting Computed Tomography
3:20 PM 3:40 PM Prostate Cancer Assessment with mpMRI, PSMA PET, and Federated Learning
Christoph Kirst, PhD
Katharina Breininger, PhD
David Blumenthal, MD
Jana Kiederle
Nicolai Meyerhoefer
Jae Ho Sohn, MD, MS
Jason Crane, PhD
Bernhard Kainz, PhD
Johanna Mueller
Andreas Rauschecker, MD, PhD
Andreas Maier, PhD
Fabian Wagner
Mareike Thiess
Andrew Burghardt
Peder Larson, PhD
Abhejit Rajagopal, PhD (co-presenter)
3:40 PM 4:00 PM BREAK 4:00 PM 5:00 PM Keynote Address - Artificial Intelligence for Healthcare: The Road Ahead Dorin Comaniciu, PhD Helen Diller Cancer Research Building, HD 160
5:00 PM 6:00 PM Dinner Reception
UNCONFERENCE ITINERARY, THURSDAY, MARCH 30
Breakout Sessions
The UnConference breakout sessions on Thursday, March 30, are your opportunity to engage more fully with the topics presented in Wednesday’s scientific talks. We hope the UnConference format will be energizing and collaborative, generative of conversation and fresh ideas, and potentially inspire new projects. The ‘rules’ are few and simple –
• The breakout sessions are participant-driven, unscripted and interactive. Our Lunch and Dinner Reception on March 29 are opportunities for you to identify breakout session topics or groups.
• The Titles in the program are placeholders and should evolve to reflect the individuals who participate in each breakout session.
• The Format is flexible. You may interact in group discussions or 1:1.
• The desired Outcome of the sessions is to reach a consensus on whether or not there is a collaborative project. Collaborations are between FAU and UCSF. Siemens may be involved if appropriate.
• Leaders will guide breakout session discussions if needed.
• Mobility is encouraged. If you observe that you are not contributing, learning, or having fun – move to another session.
Breakout Session Leaders
Florian Knoll, PhD, Peder Larson, PhD, David Saloner, PhD, Galateia Kazakia, PhD, Andy Burghardt, Youngho Seo, PhD, Yang Yang, PhD, Andreas Rauschecker, MD, PhD, David Blumenthal, PhD, and Benjamin Polacco, PhD
Reserved Meeting Rooms
We have reserved meeting rooms in Mission Hall and Byers Hall for the breakout sessions. Please let Annie (peiting.liu@ucsf.edu) know if you’d like a room.