MRI 🧲 group leader @lab_midas University Hospital of Tübingen
Joined September 2018
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📢 Participate in the autoPET-III challenge hosted at #MICCAI2024
Multi-site and multi-tracer generalization for automated PET/CT lesion segmentation: autopet-iii.grand-challenge.… 📷
@ESHI_Society
@MICCAI_Society
@LMU_Muenchen @lab_midas
Thomas Kuestner retweeted
Early Access Paper Just Posted: Motion-compensated MR CINE reconstruction with reconstruction-driven motion estimation: a more accurate, efficient and unified solution. Read the paper: ieeexplore.ieee.org/abstract…
Thomas Kuestner retweeted
.. ⚡ ISMRM Flash interviews by RRSG are back 🤩 @mrm_highlights #MRITogether #ISMRMtogether #ChallengeISMRM
👉 Click the video to hear @KuestnerThomas research group at #ISMRM23 ! Pls check Aya Ghoul Abstracts 3168 👉 Code available at: github.com/lab-midas/lapnet
Thomas Kuestner retweeted
📷 Check out our new deep learning-based framework for non-rigid registration of accelerated cine images for different sampling trajectories and accelerations of up to x16 at #ismrm23. If curious, drop by today at abstract #1368 @lab_midas @aimlab_tum
Thomas Kuestner retweeted
In case you missed it, we presented at #ISMRM23 on "Attention Mechanisms for Sharing Low-Rank, Image, and k-Space Information during MR Image Reconstruction"! #0819: Top 100 Abstracts, Magna Cum Laude Merit Award.
@lab_midas @aimlab_tum
Thomas Kuestner retweeted
📢 Excited to present at #ISMRM23 on "Contrastive Self-Supervised Learning for Cardiac MR Image Reconstruction"! Join me at 15:45 for an innovative approach to learn from undersampled cardiac Cine MR images. Abstract ID: #0709 #WhyCMR @lab_midas @aimlab_tum
🏆Congratulations to Aya Ghoul for making the 1st place🥇in the #ISMRM2023 motion correction study group on her work about deep learning image registration for undersampled cardiac CINE MR
@lab_midas
Thomas Kuestner retweeted
🧲❤ cardiac MRI Rodeo: taiming AI 🤖 for clinical practice👩🏻⚕️ tutorial
@ISMRM @SMRT_ISMRM
Join the rodeo 🤠 in a panel discussion and win 🎁
Get your ropes ready! 🐎
More info 👇
🌐 ismrm-mit-cmr.github.io
#whyCMR #CardioTwitter #DeepLearning #ISMRM_Iberian #ISMRM23 #ISMRT23
Thomas Kuestner retweeted
📷 We will be presenting our research on 'Avoiding shortcut learning by Mutual Information Minimization in deep learning-based MRI processing' at #ISMRM23! Join us at 13:45 for insights on causal learning in medical imaging! Abstract#0154 @lab_midas
📢 Please join me today at #ISMRM23 for my digital poster #1818 (1:45pm, computer 1) about robust motion detection in multiple imaging cohorts.
@lab_midas
Thanks #ISMRM23 for the invitation to talk in the educational session about reconstruction solutions for CMR
@lab_midas
Thomas Kuestner retweeted
Join " The Chest Pain Chess Game" on Monday 8:15am♟❤ @ISMRM @SMRT_ISMRM
🙋🏻♀️ I'll be talking about Quantitative perfusion CMR 🧲🔢
...& check out the CMR Rodeo 🤠🐴 on Wed 2:45pm. @KuestnerThomas and I will be handing out some 🎁
#whyCMR #ISMRM_Iberian #ISMRM23 @CienciasDoMar – at Toronto, Ontario
Thomas Kuestner retweeted
Come study #MachineLearning in Tübingen: 10 days left to apply to our International MSc Program! Tübingen boasts an amazing research environment #AI/#ML, with several world-class institutions @Cyber_Valley @uni_tue Tuebingen AI @ml4science @MPI_IS, uni-tuebingen.de/de/140323
📢 Participate in the autoPET-II challenge hosted at #MICCAI2023
Generalization for automated PET/CT lesion segmentation: autopet-ii.grand-challenge.o…
💰Compete for the prize money of 11000 €💶
@lab_midas @ESHI_Society @LMU_Muenchen @UniklinikEssen @MICCAI_Society
Join us at #ECR23 today (16:00, Room G2) for the summary of the autoPET whole-body PET/CT lesion segmentation challenge and a discussion for the future of AI in hybrid imaging.
@lab_midas @LMU_Muenchen @ESHI_Society
Happy to talk today about the potential and challenges of AI in radiology at #ECR23. Join us at 14:00 in room K2 for RC 1506.
@lab_midas
Thomas Kuestner retweeted
Happy to introduce @KuestnerThomas
as newly appointed juniorprofessor for Data Engineering and Advanced Processing for Medical Imaging Modalities! Find out more on his research: midaslab.org/ #ai #imaging #research
Thomas Kuestner retweeted
After exciting session on next gen black hole imaging, “our“ session on medical image recon and analysis - fab intro from @khammernik , great talks and posters from Andreas Hauptmann, Thomas Küstner, Danny Alexander, Ender Konukoglu, Reinhard Heckel… #BASPFrontiers
Thanks to #SCMR23 for the invitation to talk about the potentials of machine learning in the CMR workflow. #whycmr @lab_midas
Thomas Kuestner retweeted
Season 2 of the MR motion correction virtual seminars is upon us! First episode will air Nov 17th at 16h30 UTC+1, when Niek Huttinga will discuss his work on MR-MOTUS. Check out bit.ly/moco-sg-seminars for more info🙃