Deep Learning in Medical Imaging - Ben Glocker, Imperial College London

[@SergiuM]

I liked your explanation on how a convolutional neural network contains in itself a decision tree, and how it's strength comes from having depth.

[@GlibShpychka]

A convolutional network does not. No actual neural network really does, since this representation also assumes no activation functions.

[@JousefM]

As a newbie I highly appreciate this clear explanation! :)

[@JuddJulia-j7r]

Thomas Daniel Moore Donna Martin Maria

[@rashidabbasi6035]

can you share paper and ppt of your this speach

[@吴光庭]

thanks

[@changbaytos5761]

Hi can you give me your email, please i want to ask you some questions can you share paper and ppt of your this speach

[@zenozeng9441]

Can you elaborate more on how to do the domain adaptation to improve the generalization with difference sequence scan ?

[@torpuotmajiok4980]

can we see blood cell with laser light camera picture ??

[@fathiaaboudi7025]

you can share with me our email?

[@许泽珊]

can you show his paper for us ?

[@NicholasRanceF]

Hi, here are a list of papers referenced in the talk: 5:19 - Brain Lesion Segmentation - arxiv.org/abs/1603.05959 6:32 - Fetus organ recognition and placenta segmentation - www.researchgate.net/publication/310673362_PVR_Patch-to-Volume_Reconstruction_for_Large_Area_Motion_Correction_of_Fetal_MRI 8:34 - Resolution Upscaling in Cardiac Imaging - www.ee.bgu.ac.il/~rrtammy/DNN/reading/Multi-inputRueckert.pdf 13:00 - Brain MRI Domain Adaptation using Adversarial Networks - arxiv.org/abs/1612.08894 15:13 - Using Reverse classification to measure prediction accuracy in practice 19:49 - Synthesis of ground truth

[@priyadarshiniadyasha4039]

Kindly send the link of the paper

[@Re-workCo]

Thanks for sharing Nick!