Lei Xing

@lx2015

J. Haimson & S. S. Donaldson Professor, Director of Med. Phys. Division, Depts of Radiation Oncology, Elec. Eng. & ICME (adjunct), Stanford Univ.

Joined February 2014

317Following

522Followers

Lei Xing@lx2015 · Jul 16

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…

lx2015's tweet image. 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…

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Lei Xing@lx2015 · Jun 30

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…

lx2015's tweet image. 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…

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Lei Xing Retweeted

Stanford Medical Physics@SUMedPhysics · Jun 23

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.…

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Lei Xing@lx2015 · Jun 16

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!

lx2015's tweet image. 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!

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Lei Xing@lx2015 · Jun 3

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.

lx2015's tweet image. 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.

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Lei Xing@lx2015 · May 30

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.

lx2015's tweet image. 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.

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Lei Xing@lx2015 · May 28

linkedin.com/posts/shandong…

lx2015's tweet card. Please consider submitting your work to The Fourth International Workshop on Applications of Medical AI (AMAI2025), to be held on September 23 - 27, 2025, at Daejeon, Republic of Korea, as a satell...

Lei Xing@lx2015 · May 21

linkedin.com/posts/ospastor…

lx2015's tweet card. Last week, Nataliya Kovalchuk took the stage at ESTRO to show what our GPT‑RadPlan model can do inside Eclipse. With a single click, the large language model (LLM) auto‑tunes treatment planning...

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Lei Xing@lx2015 · May 19

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.

lx2015's tweet image. 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.

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Lei Xing Retweeted

Stanford Medical Physics@SUMedPhysics · Mar 31

Congratulations to our newly matched residents, Megan Clark and Jeffrey Zabel! Please join us in welcoming them to the Stanford family!

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Lei Xing@lx2015 · Mar 16

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!

lx2015's tweet image. 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!

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Lei Xing@lx2015 · Feb 22

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-…

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Lei Xing@lx2015 · Feb 8

NIH slashes overhead payments for research, sparking outrage | Science | AAAS science.org/content/articl…

lx2015's tweet card. Move to cut indirect cost rate to 15% could cost universities billions of dollars

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Lei Xing@lx2015 · Jan 15

We have a few openings for medical physics faculty! Please see the link for more details: facultypositions.stanford.edu/en-us/job/4948….

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Lei Xing@lx2015 · Dec 19

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…

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Lei Xing Retweeted

Biology+AI Daily@BiologyAIDaily · Dec 19

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…

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Lei Xing Retweeted

Steven Artandi, MD, PhD@SCIDirector · Dec 13

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. #DeepLearning go.nature.com/49AmeB2

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Lei Xing@lx2015 · Nov 15

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

lx2015's tweet image. 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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Lei Xing Retweeted

Stanford Radiation Oncology@StanfordRadOnc · Nov 14

@SUMedPhysics seeks two ABR board-eligible or board-certified medical physicists to join the Division as Assistant Professors in the University Medical Line! Learn more here: facultypositions.stanford.edu/en-us/job/4948… #Careers #Hiring #CareersInMedicine #Stanfordcancer #stanford #radonc

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Lei Xing@lx2015 · Oct 16

Tabular data are used ubiquitously across disciplines. I'm excited to share that our @nBME paper on using deep learning for this important form of data is now published: rdcu.be/dW1Iy. Kudos to R. Yan and Md T. Islam for the superb job!

lx2015's tweet image. Tabular data are used ubiquitously across disciplines. I'm excited to share that our @nBME paper on using deep learning for this important form of data is now published: rdcu.be/dW1Iy. Kudos to R. Yan and Md T. Islam for the superb job!

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