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- Noise|conscious explicit weighting network for robust low|dose CT ...🔍
- Noise aware content|noise complementary GAN with local and ...🔍
- Sutanu Bera🔍
- Noise|Aware Training of Neuromorphic Dynamic Device Networks🔍
- Robust noise|aware algorithm for randomized neural network and ...🔍
Noise Conscious Training of Non Local Neural Network powered by ...
Noise Conscious Training of Non Local Neural Network Powered by ...
Abstract. The explosive rise of the use of Computer tomography (CT) imaging in medical practice has heightened public concern over the patient's associated ...
Noise Conscious Training of Non Local Neural Network Powered by ...
Noise Conscious Training of Non Local Neural. Network Powered by Self Attentive Spectral. Normalized Markovian Patch GAN for Low Dose. CT Denoising. Sutanu Bera ...
Noise Conscious Training of Non Local Neural Network Powered by ...
Index Terms—Noise conscious MSE loss, non local neural network, self attentive markovian patch GAN, low dose CT denoising, neighbourhood ...
Noise Conscious Training of Non Local Neural Network ... - GitHub
Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising ...
(PDF) Noise Conscious Training of Non Local Neural Network ...
Our proposed module assisted in boosting the denoising by a significant margin. Next, we moved towards the problem of non-stationarity of CT ...
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Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising.
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Next, we moved towards the problem of non-stationarity of CT noise and introduced a new noise aware mean square error loss for LDCT denoising. Denoising ...
Noise-conscious explicit weighting network for robust low-dose CT ...
... neural network (RED-CNN) for low ... The main reason is that the network not only ... noise distribution with the same weight in the network training.
Noise aware content-noise complementary GAN with local and ...
Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising · Sutanu Bera ...
Sutanu Bera - الباحث العلمي من Google - Google Scholar
Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising. S Bera, PK ...
Noise-Aware Training of Neuromorphic Dynamic Device Networks
By decoupling the training of individual device models from network training, our method reduces the required training data and provides a ...
Robust noise-aware algorithm for randomized neural network and ...
First, we develop an objective function for RVFL networks. The objective function simultaneously handles weight noise and outliers in training data. This ...
Trainable joint bilateral filters for enhanced prediction stability in low ...
Noise conscious training of non local neural network powered by self attentive spectral normalized Markovian patch GAN for low dose CT denoising ...
Noise aware content-noise complementary GAN with local and ...
Bera, Noise conscious training of non local neural network powered by self attentive spectral normalized Markovian patch GAN for low dose CT denoising, IEEE ...
Noise-aware Local Model Training Mechanism for Federated Learning
In these approaches, the convergence accuracy of the model on noisy datasets is improved by adding regularization to the training process to ...
What is the trade-off between batch size and number of iterations to ...
where ab=cd? To put it otherwise, assuming that we train the neural network with the same amount of training examples, how to set the optimal ...
a lightweight high quality solution to image denoising - arXiv
In [18] the authors, inspired by non-local neural networks [19] , introduced non-local CNNs into image restoration. Lefkimmiatis [20] performed ...
Toward Understanding the Importance of Noise in Training Neural ...
Numerous empirical evidence has corroborated that the noise plays a crucial rule in effective and efficient training of deep neural networks.
Machine-Learning Models Based on Non-local Neural Networks
In one embodiment, a method includes training a baseline machine-learning model based on a neural network comprising a plurality of stages, wherein each ...