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#ISMRM23 #ISMRM2023 Come see our work on "K-band: A self-supervised strategy for training deep-learning MRI reconstruction networks using only limited-resolution data" Oral #0387 T8:15-10:15 Efrat Shimron Alfredo De Goyeneche

Thrilled to have had a fantastic first two days at my first international ISMRM Conference! The educational sessions were incredibly informative and interesting. Looking forward to the upcoming talks and events in the next couple of days! #ISMRM23 #MRI #deeplearning #Toronto

Excited to moderate the ML/AI Emerging Algorithms session today! We have a wonderful line of speakers, with many talks on bleeding edge methods - Swin transformers, federated learning, contrastive learning, diffusion models & more. Join us in room 714A/B at 13:45 (Tuesday)

Starts a new day ISMRM. #ISMRM23 has been really great with many new ideas and collabs discussion. Congrats to all new junior & senior fellows. But they are not taking the wind away from the luminary Moose

Great start the the ML recon session today! A lot more work on diffusion-based approaches this year. You could say they’re starting to generate a lot of noise 🔊🔊😏 Photos: Efrat Shimron Jan Fritz @tbswch #ISMRM23 #ISMRM2023

Presented our latest research on Contrastive Learning-based accelerated MRI Reconstruction at #ISMRM2023. Also, I am delighted to announce that this work won the ISMRM Summa Cum Laude Merit Award 🏆 (which is presented to the top 5% of submissions).

See you in SINGAPORE in 2024! ISMRM & ISMRT Annual Meeting & Exhibition 04-09 May 2024 Abstract Deadline: 08 November 2023

Huge congratulations on Himashi Peiris being awarded the Victoria Biomedical Imaging Capability VBIC Early Career Award !! Excellent work.

At the close of the #VHIsummit Steve Nicholls awarded our Innovation Prize, as voted by the people, to the best presentation in our digital poster session. Congratulations to this year's winner Mevan Ekanayake for 'Continuous Representation of Cardiac MRI data using AI'!

Check out our recent paper published in ELSEVIER - Computers in Biology and Medicine, which presents a novel AI-based solution for accelerated MRI reconstruction. Zhaolin Chen Mehrtash Gary Egan link to the paper: doi.org/10.1016/j.comp…

Honored to have received the Monash Biomedical Imaging (MBI) Student Excellence Award for 2023, in recognition of my success in publications, awards, and conference participation during the year. I sincerely thank my supervisors and colleagues for their continuous support.

Congratulations Mevan and our other award recipients Zhaolin Chen, Maggie Aulsebrook, Bianca Jupp & Lauren Hudswell on a fantastic year! ✨

I'm an Accepted Author of the 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, from 27-30 May 2024. #ISBI2024 invt.io/1txb6kqmler

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

A 5-minute full-body #MRI scan could soon be a reality thanks to #AI! Congratulations to Zhaolin Chen  and the team on a project that's truly advancing the state-of-the-art in #healthcare: monash.edu/news/articles/… Monash Biomedical Imaging

It's nice to see popular science magazines like Cosmos recognizing our work. cosmosmagazine.com/health/5-minut…

Exciting work by Mevan Ekanayake Zhaolin Chen found they were able to improve the efficiency and quality of clinical MRI images using deep learning. sciencedirect.com/science/articl…

Did you see Mevan Ekanayake Zhaolin Chen in Cosmos? Congrats to the team from Monash Biomedical Imaging and Monash Engineering who are improving the efficiency and quality of clinical MRI images using AI and deep learning: cosmosmagazine.com/health/5-minut… #NCRISImpact Australian Government Department of Education

International Symposium on Biomedical Imaging #ISBI2024 is kicking off today in Athens, Greece. I am glad to be a part of this year's conference.