Associate Professor and ARC MCR Industry Fellow. MRI, PET, deep learning, image recon and analysis
Melbourne, Victoria
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Great opportunity to submit a simple abstract & to know better your local MRI community !!
💡 Got groundbreaking MRI research? Share it with the ISMRM ANZ community. Just ONE week left to submit your abstract! #ISMRMANZ2024 #MRI #Research
docs.google.com/forms/d/e/1F…
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Zhaolin Chen retweeted
#NIFSymposium2024 Session Highlight | Accessible Imaging: Technology underpinning community outcomes
Featuring speakers:
Samantha Holdsworth, @MonikaJanda, Paul Parizel, Stuart Crozier, @RosenLab, @Shawna_Far, @zchen_imaging
Full program and register: anif.org.au/symposium2024/
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Informative
FDA released it's latest AI stats: 📈🤖
- 882 authorized AI-enabled devices
- 671 (76%) from radiology
- Largest players are @GEHealthCare, @SiemensHealth @PhilipsHealth, @CanonUSA, and @aidocmed
Worth reviewing @realmargaretta's article:
👉 bit.ly/FDA-AI-Device-2024
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Groundbreaking at ultra low field MRI! Whole body imaging at 0.05T
In a new Science study, researchers present a safer, low-cost, and low-energy whole-body MRI device.
The findings could help address unmet clinical needs in diverse healthcare settings worldwide. scim.ag/6UD
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#ISMRM24, we have abstracts to show our progress in ultra low field MRI w AI & clinical translation:
CSF quantification in Curating Synthetic Imaging Data session, Monday, 5pm;
Radiological image assessment in Synthetic MR session, Wednesday, 2:30pm
Come over for a chat!
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Thank you very much for sharing our work. Medical imaging carries signifiant cost for both health providers and patients. Our goal is to make more MRI cost effective and sustainable.
I'm regularly impressed by the capability of our #MonashUni researchers. A 5-minute full-body MRI scan is closer than we might think, with the help of a promising new AI method developed by Monash engineers: ow.ly/axwU30sAgZm
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McSRA - transformer based MRI recon using sampling point spread function and leverage global MRI context.
Check out our recent paper published in ELSEVIER - Computers in Biology and Medicine, which presents a novel AI-based solution for accelerated MRI reconstruction. @zchen_imaging @MehrtashH @gary_egan
link to the paper: doi.org/10.1016/j.compbiomed…
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Really excited to see our large review piece out in Medical Image Analysis; we review medical image synthesis, analyse distinct network architectures, loss functions, quantify performance & provide overview of datasets. Challenges and opportunities are discussed. 👉
We are excited to announce that our survey paper "Deep Learning based Synthesis of MRI, CT and PET: Review and Analysis" has been published in the Medical Image Analysis Journal (MedIA).
Check it out here : doi.org/10.1016/j.media.2023…
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Zhaolin Chen retweeted
At the close of the #VHIsummit @ProfSNicholls awarded our Innovation Prize, as voted by the people, to the best presentation in our digital poster session.
Congratulations to this year's winner @mevanekanayake for 'Continuous Representation of Cardiac MRI data using AI'!
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Excited to see our PoC MRI project @SciReports. We developed & validated a generative AI model for improving low field MRI. We acquired 90+ low & high field data. We show image quality improvement in resolution, SNR, quantitative volume accuracy in brain. nature.com/articles/s41598-0…
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Collaboration cross multiple @NIFAus nodes and hospitals in Aus (Monash, UQ, Royal Perth Hospital, Alfred Hospital, HIRF, SAHMRI). @MarkusBarth2 @MengLaw1 @gary_egan @Mon_Bio_Imaging @MonashInfotech @Hyperfine
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Huge congratulations on @HimaAma92 being awarded the Victoria Biomedical Imaging Capability @VicBioImaging Early Career Award !! Excellent work.
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Thanks @arc_gov_au for organising this. Geat to meet other fellows & chat. Excellent panel by @VeenaSahajwalla @ProfHeike & prof Jennifer Smith-Merry
Meet the class of IFP 2023!
Today we held an induction for the inaugural recipients from our Industry Fellowship Program, with speakers from ARC and the research sector helping them navigate their grants moving forward.
For more on IFP and other schemes: arc.gov.au/funding-research/…
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[PhD & Collab]2 new PhD on generative and explainable AI for biomedical imaging. This is a drive to develop fundamentals & opportunity work w industry in practice. Email CV, transcripts, and papers to apply
Separately seeking collab w other PIs in these or other related area.
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In 2023 National Imaging Facility Scientific Meeting, we will have a Low Field MRI workshop - join us to hear about updates from point of care MRI network, Gates Foundation, and Industry! Full programs below and our workshop is at 2:30 - 4pm. anif.org.au/nif-asm-2023/
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Insightful piece covering the state of the art of technology and possible clinical MRI applications.
Our review article on low-field MRI is out! Thanks to an amazing team! @asorby_adams @sheth_kevin @wtkimberly @MGHMartinos @MGH_RI @MGHImaging #physicslife
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Our #Co-bioNet model @HimaAma92 for more reliable & label efficient tumour segmentation.
-> Nat Mach Intell ->
doi.org/10.1038/s42256-023-0…
#AI can ask another AI for "second opinion": Researchers from @MonashInfotech, @MonashEngineers have designed a new co-training AI algorithm for medical #imaging that can effectively mimic the process of seeking a second opinion. dlvr.it/SsrrSh
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Our #mobileMR project manager Parisa presents point of care MRI in Australia at #OHBM2023, a collaboration of @NIFAus, Alfred @MengLaw1, @Mon_Bio_Imaging, @MonashInfotech, UQ @MarkusBarth2 & Katie McMahon, Paul Parizel RPH, Andrew Dwyer @sahmriAU and @Hyperfine
Super proud of this superstar! Parisa Zakavi gave a great presentation on #mobileMRI at #ohbm2023 yesterday! @Mon_Bio_Imaging @NIFAus @zchen_imaging
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