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05/07/2021
Self-paced Resistance Learning against Overfitting on Noisy Labels
Noisy labels composed of correct and corrupted ones are pervasive in pra...
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10/09/2020
Cluster Activation Mapping with Applications to Medical Imaging
An open question in deep clustering is how to understand what in the ima...
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11/27/2018
A Scalable Optimization Mechanism for Pairwise based Discrete Hashing
Maintaining the pair similarity relationship among originally high-dimen...
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03/30/2018
Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning
Automatic pancreas segmentation in radiology images, eg., computed tomog...
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08/24/2017
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
The fast growing deep learning technologies have become the main solutio...
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07/16/2017
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function
Deep neural networks have demonstrated very promising performance on acc...
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07/08/2017