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 Image Augmentation: How to overcome small radiology datasets? June 28, 2019 by Jim Tol The training of neural networks typically requires large amounts of data. The more examples your network sees during training, the better it can ... Read Post
Deep dive: how does deep learning work in the context of radiology? May 29, 2019 by Valerio Fortunati Lately many exciting results with deep learning in radiology have been reported. This is not that much of a surprise, as deep learning is eminently ... Read Post
An Imaging Genetics example: connecting MRI brain images to genetic profiles at voxel level May 03, 2019 by Ory Six Over the past few years imaging genetics is a hot topic in brain research. Extracting large amounts of quantified information from medical images is ... Read Post
AI-based medical software: how will the FDA deal with it? April 09, 2019 by Arnault Massink Last week the FDA announced that they will be investigating a new review framework for artificial intelligence (AI) based medical devices.1 Over the ... Read Post
How to measure the changing shape of the aging brain? March 14, 2019 by Ory Six Both normal aging and neurodegenerative diseases such as Alzheimer’s disease (AD) cause morphological changes of the brain due to neurodegeneration. ... Read Post
Radiology residents have strong confidence in the future of radiology February 13, 2019 by Ory Six Will AI keep medical students away from radiology? Will they prefer a different specialty because they expect AI to replace radiologists completely ... Read Post
5 questions to ask exhibitors at the RSNA 2018 Machine Learning Showcase November 06, 2018 by Ory Six The Machine Learning showcase at this year’s RSNA promises to be even busier than last year. The amount of exhibiting companies has grown to over 70 ... Read Post
Why to adopt AI in radiology today? September 06, 2018 by Ory Six Artificial intelligence is increasingly becoming a part of our lives. Whether it is by helping us automatically tag all cat pictures on our phone, ... Read Post
Early Signs of Brain Ischemia on CT and MR; Can AI Lend a Helping Hand? July 26, 2018 by Ory Six A poor functional outcome of stroke patients may be predicted by early signs on CT and MRI. Radiology exams carried out within 6 hours after stroke ... Read Post
Deep learning: its potential and challenges in radiology AI June 26, 2018 by Jorrit Glastra Up to a few years ago conventional image analysis was based on the careful handcrafting of features by humans that captured the relevant aspects of ... Read Post
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