Intelligent imaging & applied deep learning researcher @UCSF_Ci2
Joined February 2022
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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 retweeted
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 ➡️ intelligentimaging.ucsf.edu/…
Madeline Hess retweeted
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).
Madeline Hess retweeted
In @PainMedJournal, @UCSF_Ci2 Drs. @MaddHess, Kenneth Gao, Radhika Tiberwala, Gaurav Inamdar, @UpasanaUBharad1, Cynthia Chin, @PedoiaValentina, @sharmilamajumda & collaborators explore the potential to enhance clinical care efficiency. doi.org/10.1093/pm/pnac142
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. ow.ly/Pcai50Lx8aX
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 ➡️ bit.ly/3Th2E3j @MaddHess
Madeline Hess retweeted
Happening now @QMSKIWorkshop @MaddHess is presenting on DL driven identification of abnormalities in the spine related to low back pain @UCSF_Ci2
Madeline Hess retweeted
@UCSF_Ci2 team ready for the Amsterdam adventure @QMSKIWorkshop @MaddHess @atolpadi7 @Rupsa_B – at Noordwijk, Nederland
Madeline Hess retweeted
Great time @QMSKIWorkshop !!! @UCSF_CI2 so great to have so many group pics to chose from after 2 years of virtual ones !!!!
Madeline Hess retweeted
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 onlinelibrary.wiley.com/doi/…
Don’t miss Jennifer Cummings and Michelle Tong presenting in Suite 7 on advanced cartilage analysis techniques! #ISMRM2022
Come to computer 45 to see @atolpadi7’s work on tissue-specific loss functions for MRI reconstruction! @UCSF_Ci2 #ISMRM2022
Madeline Hess retweeted
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
Madeline Hess retweeted
Visit @MaddHess at computer 69 to learn about the Robustness of Deep Learning Processing on Deep Learning reconstructed Lumbar Spine MRI #ISMRM2022
Madeline Hess retweeted
Come chat with @atolpadi7 at computer 68 about tissue specific loss for MRI reconstruction @ISMRM @UCSF_Ci2
Madeline Hess retweeted
@JennyLeeStat @UCSF_CI2 just presented at #OARSI2022 on personalized risk model for OA using deep learning derived morphological phenotype. So proud ! Great job !!!
