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Jenny Lee UCSF Center for Intelligent Imaging just presented at #OARSI2022 on personalized risk model for OA using deep learning derived morphological phenotype. So proud ! Great job !!!

Group lunch ISMRM after a great morning of Machine Learning and MRI of cartilage UCSF Center for Intelligent Imaging

Awesome start to #ISMRM2022! UCSF dinner adventure on the tube! Madeline Hess Aniket Tolpadi

Come chat with Aniket Tolpadi at computer 68 about tissue specific loss for MRI reconstruction ISMRM UCSF Center for Intelligent Imaging

Visit Madeline Hess at computer 69 to learn about the Robustness of Deep Learning Processing on Deep Learning reconstructed Lumbar Spine MRI #ISMRM2022

Super popular Madeline Hess 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

Come to computer 45 to see Aniket Tolpadi’s work on tissue-specific loss functions for MRI reconstruction! UCSF Center for Intelligent Imaging #ISMRM2022

Don’t miss Jennifer Cummings and Michelle Tong presenting in Suite 7 on advanced cartilage analysis techniques! #ISMRM2022

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 Madeline Hess Sharmila Majumdar @UCSF_CI2 onlinelibrary.wiley.com/doi/10.1002/js…

Great time QMSKI !!! @UCSF_CI2 so great to have so many group pics to chose from after 2 years of virtual ones !!!!

⁦UCSF Center for Intelligent Imaging⁩ team ready for the Amsterdam adventure ⁦QMSKI⁩ ⁦Madeline Hess⁩ ⁦Aniket Tolpadi⁩ ⁦Rupsa Bhattacharjee, PhD⁩

Happening now QMSKI Madeline Hess is presenting on DL driven identification of abnormalities in the spine related to low back pain UCSF Center for Intelligent Imaging

Amazing working with Kenneth, Radhika, Valentina Pedoia, Sharmila Majumdar and all our team to build methods to automatically analyze of vertebral endplate changes!

SO amped that my first peer-reviewed journal article was just published!!! Thank you to the NIH Back Pain Consortium and NIAMS for empowering our team at UCSF Center for Intelligent Imaging to build tools to better understand and treat chronic low back pain

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 Center for Intelligent Imaging

In Pain Medicine Journal, UCSF Center for Intelligent Imaging Drs. Madeline Hess, Kenneth Gao, Radhika Tiberwala, Gaurav Inamdar, Upasana U BhaRADwaj, Cynthia Chin, Valentina Pedoia, Sharmila Majumdar & collaborators explore the potential to enhance clinical care efficiency. doi.org/10.1093/pm/pna…

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 Center for Intelligent Imaging researcher Madeline Hess (Madeline Hess).

Madeline Hess (Madeline Hess), UCSF Center for Intelligent Imaging 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 ➡️ intelligentimaging.ucsf.edu/news/revolutio…

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 Center for Intelligent Imaging #AIinHealthcare