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Master student Tanya Nair from
@mcgillu presenting oral at#MICCAI2018 pic.twitter.com/FelVcUfdWR
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Congratulations to Gavin and team from
@KingsImaging on obtaining the outstanding paper award at#MICCAI2018 AE-CAI workshop. Well done! pic.twitter.com/sTcZgoRIUw
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Keynote from Michael bronstein on geometric learning at ShapeMI
#MICCAI2018@mmbronsteinpic.twitter.com/gm66CmcuZJ
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ISLES2018 challenge was about outcome prediction for CT-perfusion, and the battle was fierce! Congrats to the winning teams and big thanks to our invited speakers! So glad to see solutions using the provided raw perfusion data!
#MICCAI2018 pic.twitter.com/Un1rK4AaPf
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Excellent work by Nicolas Toussaint from
@KingsImaging presented now at#DLMIA#MICCAI2018 on real time fetal organ detection in 2D ultrasound! pic.twitter.com/vBZnXPKPef
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Interesting tutorial on interpretable deep learning
#MICCAI2018#interpretable_deeplearningpic.twitter.com/EqVxEQRfMx
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Getting ready for MICCAI 2018 in Granada
#MICCAI2018#Leedspic.twitter.com/DbN9Qd9S0Q
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Interesting talk by Erik Bekkers in oral session chaired by
@ivanaisgum#MICCAI2018 pic.twitter.com/PsOxCg21Vc
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Awesome talk from Kristen Grauman at
#MICCAI2018 on recent work to learn intelligent, efficient policies for view selection. -
Hey
#MICCAI2018 people. Want to reduce false-positives in fiber tractography? Learn how, at my poster T-74. You can't miss it, it's in the remotest corner possible near the terrace. pic.twitter.com/eOApeu675s
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Poster M-85 on
#Hyperrealism for Surgical Training. Stop by if you want to learn more! I will be around in the afternoon poster session again#MICCAI2018 pic.twitter.com/dyDC9ymkPj
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How can we bring MICCAI challenges to the next level? Annika Reinke presents how challenges are vulnerable to malicious actors and how we can design better guidelines.
#MICCAI2018 pic.twitter.com/nxWjH0SwOc
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#MICCAI2018 preview: introducing VaNgOGH, a new marker of tumor aggressiveness & response based on architecture of tumor-associated vasculature, poster T55 to be presented tomorrow at 11:30-12:30 pic.twitter.com/4hHRtLmdiL
Prikaži ovu nit -
Congratulations
@malpani_anand for commendation as@MICCAI2018 reviewerb#MICCAI2018 pic.twitter.com/VD9i0WmmCs
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Soon-to-be Dr
@amiralansary is spreading his knowledge on deep reinforcement learning for automatic view planning at#MICCAI2018. Come along to poster M-33 and say hi! pic.twitter.com/TJYdXIdpVq
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Getting started with the Deep Learning for Healthcare Image Analysis (DL4HIA) tutorial by
@NvidiaAI#MICCAI2018 pic.twitter.com/HB0NB1SXRI
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Wow wow wow. This went way beyond my expectations:
#MICCAI2018 Decathlon in Medical Image Segmentation http://medicaldecathlon.com rocked by the nnU-Net! Congrats especially to our Fabian "FabLabs" Isensee. So proud of this amazing team@mic_dkfzpic.twitter.com/c5D97QlXyN
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Our work "Training Medical Image Analysis Systems like Radiologists" was presented yesterday
@MICCAI2018 ! Come and talk to us if you have any questions!@TheAIML @IntlUAdel@UniofAdelaide#MICCAI2018 pic.twitter.com/33gL6Gi4MQ
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MICCAI Closing Ceremony! MEC Award Ceremony! Big thank you to the organizers! Great MICCAI 2018 conference!
#MICCAI2018#Miccaistudentspic.twitter.com/4dBe8gJT8i
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