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08/30/2023
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
In the field of parallel imaging (PI), alongside image-domain regulariza...
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04/11/2023
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
Diffusion models are a leading method for image generation and have been...
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08/11/2022
K-UNN: k-Space Interpolation With Untrained Neural Network
Recently, untrained neural networks (UNNs) have shown satisfactory perfo...
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08/08/2022
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging
Lately, deep learning has been extensively investigated for accelerating...
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12/18/2021
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI
Recently, model-driven deep learning unrolls a certain iterative algorit...
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12/03/2021
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples
With the rapid development of deep learning technology and improvement i...
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10/20/2021
Simpler Does It: Generating Semantic Labels with Objectness Guidance
Existing weakly or semi-supervised semantic segmentation methods utilize...
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08/17/2021
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs
In this paper, we challenge the common assumption that collapsing the sp...
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08/12/2021
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
This paper investigates the problem of recovering hyperspectral (HS) ima...
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07/14/2021
Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution
Image super-resolution (SR) methods can generate remote sensing images w...
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04/13/2021
SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging
Improving the image resolution and acquisition speed of magnetic resonan...
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01/28/2021
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs
In contrast to fully connected networks, Convolutional Neural Networks (...
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01/27/2021
Shape or Texture: Understanding Discriminative Features in CNNs
Contrasting the previous evidence that neurons in the later layers of a ...
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11/09/2020
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
Estimating depth from RGB images can facilitate many computer vision tas...
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10/26/2020
Deep Low-rank plus Sparse Network for Dynamic MR Imaging
In dynamic MR imaging, L+S decomposition, or robust PCA equivalently, ha...
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02/24/2020
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve
Saliency detection has been widely studied because it plays an important...
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01/22/2020
How Much Position Information Do Convolutional Neural Networks Encode?
In contrast to fully connected networks, Convolutional Neural Networks (...
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12/20/2019
An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling
Deep learning has achieved good success in cardiac magnetic resonance im...
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01/08/2019
Richer and Deeper Supervision Network for Salient Object Detection
Recent Salient Object Detection (SOD) systems are mostly based on Convol...
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09/30/2018
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training
Dynamic MR image reconstruction from incomplete k-space data has generat...
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06/16/2018
Right for the Right Reason: Training Agnostic Networks
We consider the problem of a neural network being requested to classify ...
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05/02/2018