Medical image computing

Known as: MIC, Medical image analysis 
Medical image computing (MIC) is an interdisciplinary field at the intersection of computer science, data science, electrical engineering, physics… (More)
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Papers overview

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Review
2017
Review
2017
Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical… (More)
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Highly Cited
2016
Highly Cited
2016
Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical… (More)
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Highly Cited
2016
Highly Cited
2016
Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a large amount of labeled… (More)
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Highly Cited
2013
Highly Cited
2013
Volumetric change in glioblastoma multiforme (GBM) over time is a critical factor in treatment decisions. Typically, the tumor… (More)
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Highly Cited
2006
Highly Cited
2006
Medical image computing researchers often face the problem of moving promising new algorithms from the proof of concept stage… (More)
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Highly Cited
2005
Highly Cited
2005
Thoroughly designed, open-source toolkits emerge to boost progress in medical imaging. The Insight Toolkit (ITK) provides this… (More)
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Highly Cited
2004
Highly Cited
2004
The watershed transform has interesting properties that make it useful for many different image segmentation applications: it is… (More)
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Highly Cited
2001
Highly Cited
2001
Registration is an important component of medical image analysis and for analysing large amounts of data it is desirable to have… (More)
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Highly Cited
2000
Highly Cited
2000
ÐThe analysis of medical images has been woven into the fabric of the Pattern Analysis and Machine Intelligence (PAMI) community… (More)
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Highly Cited
1999
Highly Cited
1999
Computer assisted surgical planning and image guided technology have become increasingly used in neurosurgery. We have developed… (More)
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