Are you at #ISMRM2025? Come to my talk!
Can 0.55T knee MRI be made clinically viable with deep learning?
We denoised 0.55T & 3T knee MRI on-scanner at UCSF. 0.55T got clearer—but not 3T clear.
📍May 13, 8:15am | Registered Abstracts: Results Unveiled @UCSF_Ci2#AIinHealthcare
Madeline Hess (@MaddHess), @UCSF_Ci2 research data analyst, is revolutionizing the way we understand chronic low back pain. Explore the potential of interactive 3D models from MRI scans in our latest blog post ➡️ https://t.co/67pNO7mJc9
Video capture of mobile #AugmentedReality Sira application of a 3D model derived from an #MRI in a normal patient with segmentation performed using a novel algorithm implemented by @UCSF_Ci2 researcher Madeline Hess (@MaddHess).
Hope I knocked your non-magnetic scanner socks off with my Power Pitch at #ISMRM2023 today!
If you missed it, check out my abstract and digital poster (# 0957) to learn about scaling deep learning research to improve clinical trials for knee OA @UCSF_Ci2
SO amped that my first peer-reviewed journal article was just published!!! Thank you to the @NIH Back Pain Consortium and @NIH_NIAMS for empowering our team at @UCSF_Ci2 to build tools to better understand and treat chronic low back pain
This study assesses the feasibility of substituting automatic for human-demarcated segmentation of major anatomical structures in clinical lumbar spine MRI to generate quantitative image-based features and biomechanical models. https://t.co/4FY4B22msO
Amazing working with Kenneth, Radhika, @PedoiaValentina, @sharmilamajumda and all our team to build methods to automatically analyze of vertebral endplate changes!
#ModicChanges are known as the most prevalent classification system for describing #MRI signal intensity changes in the vertebrae. Learn more about recent research from @UCSF_ci2 investigators ➡️ https://t.co/C3ZGuEzdwq @MaddHess
Check out our new paper that uses DL to better understand spine abnormalities related to low back pain ! Great work from Kenneth Gao, Radhika Tribewala @MaddHess@sharmilamajumda@UCSF_CI2 https://t.co/2gsEeszTHO
@PedoiaValentina@sharmilamajumda@UCSF_Ci2 Wahooooo thrilled for my first published co-authorship! Check out our paper to see AI-assistance to radiologists in action 😎 Excellent work, Kenneth and Radhika!
Super popular @MaddHess at the MSK poster session @ISMRM ! Come chat with her at computer 69 to know more about DL application of spine fast MRI and automatic biomarker extraction @UCSFImaging@UCSF_CI2