RT @DanielRueckert: Our paper on deep learning for cardiac MR segmentation using very large datasets is now out in JCMR: https://t.co/I6Iux…
#openaccess New research in CRO: September 06, 2019 at 11:38AM Automated cardiovascular magnetic resonance image analysis with fully convolutional networks https://t.co/Lsn3kJsmK9
RT @arh_cardio: Automated cardiovascular magnetic resonance image analysis with fully convolutional networks https://t.co/ckiutLA2tU https:…
RT @GlockerBen: Human-level performance in cardiac MR image segmentation. Latest work from @BioMedIAICL @ICComputing on #DeepLearning for #…
Could save some time #cmr @BSCMR
RT @arh_cardio: Automated cardiovascular magnetic resonance image analysis with fully convolutional networks https://t.co/ckiutLA2tU https:…
RT @arh_cardio: Automated cardiovascular magnetic resonance image analysis with fully convolutional networks https://t.co/ckiutLA2tU https:…
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks https://t.co/ckiutLA2tU https://t.co/bAi90RsRP5
RT @GlockerBen: Human-level performance in cardiac MR image segmentation. Latest work from @BioMedIAICL @ICComputing on #DeepLearning for #…
RT @radiolobt: Automated cardiovascular magnetic resonance image analysis with fully convolutional networks "Key word is 'large-scale annot…
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks "Key word is 'large-scale annotated dataset'; congrats to Authors for this nice work" https://t.co/nfojXPWdK1
RT @journalofCMR: An automated method in #whyCMR achieves high performance in segmenting the chambers and performing volumetric measurement…
Ahem. Even I (the unsupervised neural network) managed to do this! https://t.co/eTKaDYOAHC
Soon, research fellows will not need to draw circles! 🙏⭕️💯
RT @journalofCMR: An automated method in #whyCMR achieves high performance in segmenting the chambers and performing volumetric measurement…
RT @journalofCMR: An automated method in #whyCMR achieves high performance in segmenting the chambers and performing volumetric measurement…
Yes!
RT @journalofCMR: An automated method in #whyCMR achieves high performance in segmenting the chambers and performing volumetric measurement…
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks Wenjia BaiEmail authorView ORCID ID profile, Matthew Sinclair, Giacomo Tarroni, Ozan Oktay, Martin Rajchl, Ghislain Vaillant, Aaron M. Lee, Nay Aung,... https://t
RT @journalofCMR: An automated method in #whyCMR achieves high performance in segmenting the chambers and performing volumetric measurement…
RT @MasriAhmadMD: Amazing work using the UK BioBank data. However, it is easy to trace normal people. It is the tough hypertrophes, severel…
Amazing work using the UK BioBank data. However, it is easy to trace normal people. It is the tough hypertrophes, severely dilated cmp, or the congenital ones! Authors acknowledged this in their discussion @cshenoy3 @onco_cardiology @purviparwani @ChamsiP
RT @DanielRueckert: Our paper on deep learning for cardiac MR segmentation using very large datasets is now out in JCMR: https://t.co/I6Iux…
RT @journalofCMR: An automated method in #whyCMR achieves high performance in segmenting the chambers and performing volumetric measurement…
RT @journalofCMR: An automated method in #whyCMR achieves high performance in segmenting the chambers and performing volumetric measurement…
An automated method in #whyCMR achieves high performance in segmenting the chambers and performing volumetric measurements. @AmitRPatelMD https://t.co/9YbrBd2prN
RT @GlockerBen: Human-level performance in cardiac MR image segmentation. Latest work from @BioMedIAICL @ICComputing on #DeepLearning for #…
RT @GlockerBen: Human-level performance in cardiac MR image segmentation. Latest work from @BioMedIAICL @ICComputing on #DeepLearning for #…
RT @GlockerBen: Human-level performance in cardiac MR image segmentation. Latest work from @BioMedIAICL @ICComputing on #DeepLearning for #…
Human-level performance in cardiac MR image segmentation. Latest work from @BioMedIAICL @ICComputing on #DeepLearning for #MedicalImaging
RT @DanielRueckert: Our paper on deep learning for cardiac MR segmentation using very large datasets is now out in JCMR: https://t.co/I6Iux…
RT @DanielRueckert: Our paper on deep learning for cardiac MR segmentation using very large datasets is now out in JCMR: https://t.co/I6Iux…
RT @DanielRueckert: Our paper on deep learning for cardiac MR segmentation using very large datasets is now out in JCMR: https://t.co/I6Iux…
RT @DanielRueckert: Our paper on deep learning for cardiac MR segmentation using very large datasets is now out in JCMR: https://t.co/I6Iux…
RT @DanielRueckert: Our paper on deep learning for cardiac MR segmentation using very large datasets is now out in JCMR: https://t.co/I6Iux…
RT @DanielRueckert: Our paper on deep learning for cardiac MR segmentation using very large datasets is now out in JCMR: https://t.co/I6Iux…
Our paper on deep learning for cardiac MR segmentation using very large datasets is now out in JCMR: https://t.co/I6IuxkNM65
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks. https://t.co/SejrC4Mltt