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A Strictly Bounded Deep Network for Unpaired Cyclic Translation of Medical Images
Unlike existing paired unbounded unidirectional translation networks, in this paper, we consider unpaired medical images and provide a strictly bounded network that yields a stable bidirectional translation.
An unsupervised deep learning framework for medical image denoising
This paper introduces an unsupervised medical image denoising technique that learns noise characteristics from the available images and constructs denoised images.
Towards glass-box CNNs
With the substantial performance of neural networks in sensitive fields increases the need for interpretable deep learning models.
Automatic Data Registration of Geostationary Payloads for Meteorological Applications at ISRO
In this paper, we present an algorithm for multitemporal and multiband registration.
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