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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 ...
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 ...
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 ...
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 ...
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. ...
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 ...
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 ...
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, ...
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 ...
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 ...
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