Great work done by @reynaud_h ! We use latent video diffusion model for medical data synthesis, supporting safe data sharing in medicine. Codes: https://t.co/bQAj0im3Y4. Demos: https://t.co/krBPMTjNJr
🚨Our latest work on data generation, privacy preservation and surrogate datasets has been (early-)accepted at #MICCAI24 !
And the generation process 120x faster than last year ! 🚀
🌟EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing 🌟
Great to see our work on the limitations of large language models in clinical decision-making appearing in @NatureMedicine. Thanks to a fantastic set of collaborators!
https://t.co/iiuQJaNMAt
📢 ASMUS '24 deadline extension until 28 June! 📢
The deadline for paper submission to @MICCAI_Society -#ASMUS workshop has been extended until next Friday 28th June! A few more days to fine-tune and submit!
@BisheshKhanal7@AtoAndyKing@ana_namburete
please RT!
📢A bit more than a week to submit your paper to ASMUS 2024 Workshop https://t.co/WUWu1cwUjk
Welcome to share your medical #ultrasound imaging research!
Paper submission deadline 24/06 #MICCAI2024
🚨Call for reviewers!
Please consider serving as a reviewer for @MICCAI_Society - #ASMUS workshop 🔊🏥 and apply here: https://t.co/eHYmDq3FqB
More info: ASMUS ‘24 (https://t.co/5bQ2Zv1Xrz)
* Submissions until June 24
* Reviews due July 10
📢 Working on bio-image computing and computer vision? Don’t miss our BIC workshop @eccvconf#ECCV2024 Information available at https://t.co/H5aTY6Wm0e
Paper submission deadline: July 19th 2024.
Early Access Paper Just Posted: DeepMesh: a learning-based cardiac motion tracking method that propagates a template heart mesh to a subject space and estimates the 3D motion of the heart mesh from 2D CMR images for individual subjects. Read the paper: https://t.co/eFEzMcH1Ok
Continuing our 'Eye to the MRI' series is Dr @WenjiaBai from @ImperialCollege. Find out more about how #UKBiobank imaging #data has enabled his research here: https://t.co/ICrrerW8GG
🚨 JOB ALERT 🚨
Another postdoc/RA opportunity in the exciting project of enabling trustwothy MRI is now available in our team @BioMedIAICL@ImperialX_AI@imperialeee. DM for more details. We are recruiting on a rolling basis. Apply here: https://t.co/B5yFirYWvn
We will be opening for paper submission shortly!
#ICML2023 Workshop on Machine Learning for Multimodal Healthcare Data #ML4MHD2023
https://t.co/p42JdQprKY
• Submission: May 24, 2023
• Notification: June 19, 2023
• Final Deadline: June 23, 2023
• Workshop: July 29, 2023
📢I am also looking for motivated postdocs. Anybody out there who would be interested in working on long-tail #AI problems in medical image analysis within my @BorderlessSci research group?
I feel extremely honoured to receive #ERCCoG funding for exploring normative machine learning algorithms in the #MIANORMAL project.
Big thanks to current and former lab members, collaborators, mentors, patients, colleagues, friends, family, and the @ERC_Research panel&reviewers!
Happy to introduce our new work accepted by #MICCAI2022 ! In this work, we use geometric mesh to represent the heart and we track the 3D motion of each vertex on the heart surface directly from 2D MR images.
Poster session #7, W20, 21 Sep 10:30am! See you there!
I will also present this work at Learn2Reg workshop as an invited oral at 18 Sep 2:20pm. Welcome for discussion in person at the conference in Singapore!
Paper is available at https://t.co/ZfZlvSaAAs
How to estimate 3D motion of the heart from 2D cardiac MRI? Our recent @IEEE_TMI paper addresses this challenge. 2D Multi-view CMR images are used to guarantee the estimation of both in-plane and through-plane motion. @BioMedIAICL@ICComputing@uk_biobank@TheBHF@MRC_LMS
🚨Paper Submission Deadline Extended🚨
New deadline: 1 July 2022, 23:59 PST
Quite a few authors expressed some more days could really help complete their works. We decided to provide them
Looking forward to your submissions & see u at @MICCAI_Society!
Please help share widely
again, we will have a fantastic workshop about image analysis for ultrasound imaging in #medicine@MICCAI_Society MICCAI'22 with lot's of #MachineLearning and #AI
https://t.co/nWuqESUDPs
looking forward to the papers!