J. Haimson & S. S. Donaldson Professor, Director of Med. Phys. Division, Depts of Radiation Oncology, Elec. Eng. & ICME (adjunct), Stanford Univ.Joined February 2014
Learn more about our upcoming AI Medicine Symposium (September 26-27) bit.ly/250926-ai-medi… and Modern Proton Therapy Symposium (September 27) bit.ly/250927-mpro
Register early online!
Just a friendly reminder: The early registration deadline for our upcoming AI Medicine Symposium (September 26-27) and Modern Proton Therapy Symposium (September 27) is July 25. Be sure to pre-register here: app.smartsheet.com/b/form/43272b6…
Here is the URL for registration of our CME symposia. The first symposium will focus on AI Foundation Models and Agentic AI for Radiation Oncology and Healthcare. The second, held exclusively on Saturday, will cover Modern Proton Radiation Therapy app.smartsheet.com/b/form/43272b6…
We're thrilled to announce that our Medical Physics PhD and Certificate Programs have been granted CAMPEP accreditation! Huge kudos to our faculty and staff for their diligent commitment in achieving this significant milestone in medical physics education.
campep.org/campeplstgrad.…
What an amazing achievement! Congratulations to Rachel Yan @ruiyan01 on her PhD and winning the prestigious Gene Golub Dissertation Award from Stanford ICME! So proud of you!
A symposium focusing on AI foundation models, generative models, and agentic AI will be held on Stanford campus before ASTRO annual meeting in SF. Please mark your calendars; detailed program and registration website for the symposium will be made available online soon.
A symposium on Modern Proton Therapy will be held on Stanford campus before ASTRO annual meeting in SF. Please mark your calendars for this unique opportunity; detailed program and registration website for the symposium will be made available online soon.
The ICME Research Symposium on Tue, May 20, 2025 from 10:00 AM to 5:00 PM at the Jen-Hsun Huang Engineering Center at Stanford for a day filled with exciting research presentations and discussions. Don't miss this opportunity to learn, and collaborate with experts in the field.
Thank you to the NIH and the National Academies of Sciences, Engineering, and Medicine for organizing this timely and informative symposium. It's an honor to discuss our multi-omics and imaging integration research for precision medicine!
Honored and grateful to receive a grant from @StanfordHAI(Human-Centered Artificial Intelligence). Our project promises to advance personalized neuroscience through AI. Kudos to Drs. Zixia Zhou and Md Tauhidul Islam for spearheading the research.
hai.stanford.edu/seed-research-…
Pleased to provide a high-performance and broadly applicable AI solution for solving bionetwork & other graph problems @ScienceAdvances. A big shout-out to R. Yan and @tauhid_stanford! Be an early adopter of this AI technique—science.org/doi/10.1126/sc…
Deep representation learning of protein-protein interaction networks for enhanced pattern discovery @ScienceAdvances
1. Introducing DNE (Discriminative Network Embedding), a self-supervised learning framework that redefines protein-protein interaction (PPI) network analysis by…
SCI member @lx2015 & others found that reconfiguring tabular data into 2D topographic maps (TabMaps) enhanced predictive performance and interpretability across multiple biomedical applications, outperforming traditional methods. #DeepLearninggo.nature.com/49AmeB2
Honored to speak at the 2024 Dr. Robert Gillies Machine Learning Workshop in Cancer — a fantastic way to honor the memory of a pioneer in our field! Great to catching up with many friends and colleagues at the meeting. Thank you, @ielnaqa, for organizing such a wonderful workshop
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185 Followers 191 FollowingAssistant Professor, Department of Computer Science, Virginia Tech @VT_CS @SanghaniCtrVT, PhD UIUC CS @UofIllinois, BS THU @Tsinghua_Uni
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