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Found 4 papers, 1 papers with code
A study on the adequacy of common IQA measures for medical images
Image quality assessment (IQA) is standard practice in the development stage of novel machine learning algorithms that operate on images.
A study of why we need to reassess full reference image quality assessment with medical images
Image quality assessment (IQA) is not just indispensable in clinical practice to ensure high standards, but also in the development stage of novel algorithms that operate on medical images with reference data.
visClust: A visual clustering algorithm based on orthogonal projections
The code is made available on GitHub and straightforward to use.
Limitations of neural network training due to numerical instability of backpropagation
We study the training of deep neural networks by gradient descent where floating-point arithmetic is used to compute the gradients.
