Sharmila Majumdar
@sharmilamajumda
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Professor and Vice Chair of Research in the Department of Radiology at #UCSF
San Francisco, CA
Joined May 2011
Thank you @womenirads and @SIRspecialists for this incredible honor. I am deeply humbled and grateful for this recognition. #SIR25Nash @UNCRadiology @VIRTarHeels
Congrats to @MaureenKohi MD, FSIR, our 2025 Women in IR Champion! Dr. Kohi will receive her award at the Women in IR InspIRed Lecture and Luncheon at #SIR25Nash on Monday, March 31 at noon. Ticket and registration are required for the luncheon. Grab your ticket now using 🔗 below
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GAME-CHANGER GRANT: Dr. Pavithra Viswanath, University of California, San Francisco (Co-funded by the Violet Foundation)
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Big congrats to @UCSFimaging's Dr. Christine Glastonbury (@CMGlastonbury) on her new role as VP of @ARRS_Radiology! Thrilled to see her leadership recognized. Also, hats off to @UCSF resident & fellowship alum Dr. Evan Calabrese (@ecalabr) for being named a 2024 ARRS Scholar. 👏
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Congratulations to 2024 Junior Fellows of the Society! https://t.co/XeM32fztFx
#ISMRM2024 #ISMRT2024 #ISMRM #ISMRT #MRI #MR #MagneticResonance #Singapore
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.@UCSFimaging's Dr. Janine Lupo is organizing today's CME on emerging acquisitions & analysis for EPI-based applications. Join us! @ISMRM
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Join us in 1 hour for an exclusive Town Hall at #CMIMI23 with experts from top-tier AI Programs in the U.S., like @EAKrup @PaulYiMD @Slowvak @KathyAndriole @sharmilamajumda & @TheCAIDM! Oct 1 | 1:15 PM ET | @JohnsHopkins
https://t.co/XTOcPZS92f Co-Sponsored by @aapmHQ
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World-class @UCSFMEDICALCENT @UCSF and @kieluni launched AI FLEX - Governor @DGuenther_CDUSH, @Land_SH igniting the exchange of data on both sides of the Atlantic - in @sfgov as in sister-city @stadt_kiel ! @CatherineRLucey @Mark @sharmilamajumda @ccglueer @SFulda @SchroedterDirk
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Kiel @thei2lab @UKSH_KI_HL @stadt_kiel is prepared! 30 minutes to come! Launch of the #AI-exchange project with @UCSF @UCSF_Ci2
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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
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Mark your calendars! @UCBerkeley's Dr. Ziad Obermeyer (@oziadias) is discussing "(Machine) Learning About Sudden Cardiac Death from ECG Waveforms" on April 13 at 7 pm PST. Get more details here! https://t.co/iMIzuRpNb1
#MachineLearning
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AI Brains CNN Denoising Erlangen FAU Generalization Healthcare Information Commons Ja K2S Loss Function Microscopy NLP Optimizer Pathology Quantify Radiology Segmentation Transformer UCSF Virtual Assistant Weights Xray Yes Zerofill https://t.co/s0kRdkT7Zc
We're so excited for today's workshop with @UniFAU about #AI applications in neurological, oncological & #MSK imaging. Attendees, be sure to tag us in your photos & tweets throughout the day! https://t.co/rYV17lwpaT
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Can we use massive amount of clinical #MRI (magnitude-only) to train #deeplearning image reconstruction models? ✅Realizing this potential with GANs to synthesize image phase from @Berkeley_EECS CS282 final project! @suleisahin @absudabsu @Efrat_Shimron
https://t.co/Try8mWaQAX
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Huge thanks to Prof Duygu Tosun @birtutamtuz and her wonderful team (the #UCSF Brains Trust!) for being fabulous hosts for @chrisdav66 today; so nice to meet her lab and @relajoie @DrDreMDPhD @sharmilamajumda and ADNI mastermind Dr Michael Weiner today !!!
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See our paper on the K2S challenge we hosted at MICCAI 2022! We curated a 300-patient dataset of raw k-space and tissue segmentations, tasking challenge participants with leveraging it to segment bone and cartilage from 8X accelerated knee MR acquisitions. https://t.co/9VoGzj4bbc
mdpi.com
Magnetic Resonance Imaging (MRI) offers strong soft tissue contrast but suffers from long acquisition times and requires tedious annotation from radiologists. Traditionally, these challenges have...
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I am so proud to be part of an amazing community at @UCSF pushing the boundaries of biomedical #AI, including @UCSF_BCHSI @arnaoutlab @GeoffTison @sharmilamajumda @AaronNeinstein @madhumitasushil @UCSF_Ci2 and so many others!
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Been working on this for a couple years and proud of what it became! Thanks to @PedoiaValentina and @sharmilamajumda for the mentorship -- check out my paper that uses deep learning to reduce MR acquisition time, optimizing post-processed images for quality in cartilage and IVDs.
In @SciReports, @UCSFImaging's Drs. Aniket Tolpadi, Misung Han, Francesco Calivà, Valentina Pedoia (@PedoiaValentina) & Sharmila Majumdar (@sharmilamajumda) propose regions of interest-specific postprocessing of accelerated acquisitions.
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Heartiest congratulations to @KathyAndriole on being awarded an @RSNA gold medal 🏅today. So glad that we could be there to help you celebrate this incredibly well deserved honor!
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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
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.@UCSF_ci2, @UCSFOrthosurg, et al. investigators developed & validated a #DeepLearning algorithm to automatically extract the vertebral midline for frontal & lateral radiographs.
pubmed.ncbi.nlm.nih.gov
The spine is an articulated, 3D structure with 6 degrees of translational and rotational freedom. Clinical studies have shown spinal deformities are associated with pain and functional disability in...
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