Sen Jia | DeepAI

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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...

0 Zhuo-Xu Cui, et al. ∙

∙ 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...

0 Zhuo-Xu Cui, et al. ∙

∙ 08/11/2022

K-UNN: k-Space Interpolation With Untrained Neural Network

Recently, untrained neural networks (UNNs) have shown satisfactory perfo...

24 Zhuo-Xu Cui, et al. ∙

∙ 08/08/2022

SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging

Lately, deep learning has been extensively investigated for accelerating...

29 Juan Zou, et al. ∙

∙ 12/18/2021

Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI

Recently, model-driven deep learning unrolls a certain iterative algorit...

13 Zhuo-Xu Cui, et al. ∙

∙ 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...

15 Sen Jia, et al. ∙

∙ 10/20/2021

Simpler Does It: Generating Semantic Labels with Objectness Guidance

Existing weakly or semi-supervised semantic segmentation methods utilize...

14 Md Amirul Islam, et al. ∙

∙ 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...

28 Md Amirul Islam, et al. ∙

∙ 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...

4 Zhiyu Zhu, et al. ∙

∙ 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...

4 Meng Xu, et al. ∙

∙ 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...

0 Wenqi Huang, et al. ∙

∙ 01/28/2021

Position, Padding and Predictions: A Deeper Look at Position Information in CNNs

In contrast to fully connected networks, Convolutional Neural Networks (...

39 Md Amirul Islam, et al. ∙

∙ 01/27/2021

Shape or Texture: Understanding Discriminative Features in CNNs

Contrasting the previous evidence that neurons in the later layers of a ...

16 Md Amirul Islam, et al. ∙

∙ 11/09/2020

Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications

Estimating depth from RGB images can facilitate many computer vision tas...

14 Qing Li, et al. ∙

∙ 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...

29 Wenqi Huang, et al. ∙

∙ 02/24/2020

Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve

Saliency detection has been widely studied because it plays an important...

16 Sen Jia, et al. ∙

∙ 01/22/2020

How Much Position Information Do Convolutional Neural Networks Encode?

In contrast to fully connected networks, Convolutional Neural Networks (...

15 Md Amirul Islam, et al. ∙

∙ 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...

0 Yanjie Zhu, et al. ∙

∙ 01/08/2019

Richer and Deeper Supervision Network for Salient Object Detection

Recent Salient Object Detection (SOD) systems are mostly based on Convol...

16 Sen Jia, et al. ∙

∙ 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...

0 Shanshan Wang, et al. ∙

∙ 06/16/2018

Right for the Right Reason: Training Agnostic Networks

We consider the problem of a neural network being requested to classify ...

6 Sen Jia, et al. ∙

∙ 05/02/2018

EML-NET:An Expandable Multi-Layer NETwork for Saliency Prediction

In this work, we apply state-of-the-art Convolutional Neural Network(CNN...

0 Sen Jia, et al. ∙

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