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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
How does deep learning in radiology work ? 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
Linking MRI brain images to genetic profiles at voxel level: an imaging genetics example May 03, 2019 by Ory Six Over the past few years, imaging genetics has been a hot topic in brain research. Extracting large amounts of quantified information from medical ... Read Post
AI 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 ... Read Post
Radiology residents have strong confidence in the future of radiology February 13, 2019 by Ory Six What is the future of radiology? Will AI keep medical students away from the field? Would they prefer a different specialty because they expect AI ... Read Post
RSNA Machine Learning Showcase 2019 [Top 5 Questions to Ask RSNA Exhibitors] November 06, 2018 by Ory Six The 2019 RSNA artificial intelligence showcase promises to be even busier than last year. The amount of RSNA exhibitors has grown to over 70 and the ... Read Post
Why adopt AI radiology today? September 06, 2018 by Ory Six Artificial intelligence is increasingly becoming a part of our lives. This is by helping us automatically tag all cat pictures on our phone, analyze ... Read Post
Early brain ischemia signs on CT and MRI - can AI radiology help out? 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 radiology and challenges in medical image processing June 26, 2018 by Jorrit Glastra Until 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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