Rezultati pretraživanja
  1. 17. ruj 2018.
  2. 17. ruj 2018.

    Master student Tanya Nair from ⁦⁩ presenting oral at

  3. 16. ruj 2018.

    Congratulations to Gavin and team from on obtaining the outstanding paper award at AE-CAI workshop. Well done!

  4. Keynote from Michael bronstein on geometric learning at ShapeMI

  5. 19. ruj 2018.

    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!

  6. 20. ruj 2018.

    Excellent work by Nicolas Toussaint from presented now at on real time fetal organ detection in 2D ultrasound!

  7. 16. ruj 2018.

    Interesting tutorial on interpretable deep learning

  8. 15. ruj 2018.

    Getting ready for MICCAI 2018 in Granada

  9. 17. ruj 2018.

    Interesting talk by Erik Bekkers in oral session chaired by

  10. 18. ruj 2018.

    Awesome talk from Kristen Grauman at on recent work to learn intelligent, efficient policies for view selection.

  11. 17. ruj 2018.

    Hey 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.

  12. 18. ruj 2018.

    Poster M-85 on for Surgical Training. Stop by if you want to learn more! I will be around in the afternoon poster session again

  13. 19. ruj 2018.

    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.

  14. 17. ruj 2018.

    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

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  15. 19. ruj 2018.

    Congratulations for commendation as reviewerb

  16. 17. ruj 2018.

    Soon-to-be Dr is spreading his knowledge on deep reinforcement learning for automatic view planning at . Come along to poster M-33 and say hi!

  17. 16. ruj 2018.

    Getting started with the Deep Learning for Healthcare Image Analysis (DL4HIA) tutorial by

  18. 24. ruj 2018.

    Wow wow wow. This went way beyond my expectations: Decathlon in Medical Image Segmentation rocked by the nnU-Net! Congrats especially to our Fabian "FabLabs" Isensee. So proud of this amazing team

  19. 17. ruj 2018.

    Our work "Training Medical Image Analysis Systems like Radiologists" was presented yesterday ! Come and talk to us if you have any questions! @IntlUAdel

  20. 19. ruj 2018.

    MICCAI Closing Ceremony! MEC Award Ceremony! Big thank you to the organizers! Great MICCAI 2018 conference!

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