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@youldash 1 year ago
After a work that lasted many months with considerable setbacks, I've finally completed the AI for Healthcare #Udacity Nanodegree program. Highly recommended to those interested in applying #MachineLearning, #DeepLearning and #DataScience techniques to solving medical challenges. https://t.co/303Oi07cFO
@MRAguy 3 years ago
Excellent and highly relevant work by Julia Noothout on fully automatic landmark localization in medical images - this will be very useful clinically. You can find the paper here: https://arxiv.org/pdf/2007.05295.pdf #DeepLearning #MachineLearning @ivanaisgum @BobdeVos @jelmerwolterink https://t.co/RgR2uJxfqM
@HumanBrainProj 3 years ago
Prof. Dr. Simon Eickhoff's work focuses on: ◦ Understanding brain organization ◦ #MachineLearning for individual prediction, #clinical translation & personalized #medicine All of which is highly relevant to the mission of the Human Brain Project. Follow him at @INM7_ISN https://t.co/vZe55zoiuU
@INM7_ISN 4 years ago
Eysenk's astonishing work on "cancer personality". If results are too good to be true, there is usually a good reason for this Highly relevant to current work on #MachineLearning in neuroimaging and Medicine. Real life is too complex for >>90% accuracy https://cosmosmagazine.com/society/is-this-one-of-the-worst-scientific-scandals-of-all-time
@WIRED 6 years ago
The Sisters of the Valley are nuns who grow pot. Well, they aren't 'technically' nuns—but that doesn't make them any less dope. They belong to a highly ...