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01/17/2023
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement
Retinal fundus images have been applied for the diagnosis and screening ...
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01/11/2023
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
High-quality pseudo labels are essential for semi-supervised semantic se...
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01/02/2023
Edge Enhanced Image Style Transfer via Transformers
In recent years, arbitrary image style transfer has attracted more and m...
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11/30/2022
Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction
The data consistency for the physical forward model is crucial in invers...
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02/24/2022
A Timing Yield Model for SRAM Cells in Sub/Near-threshold Voltages Based on A Compact Drain Current Model
Sub/Near-threshold static random-access memory (SRAM) design is crucial ...
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09/09/2021
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
Most recent semantic segmentation methods adopt a U-Net framework with a...
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07/14/2020
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning
Fusing data from multiple modalities provides more information to train ...
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04/18/2020
Attention, please: A Spatio-temporal Transformer for 3D Human Motion Prediction
In this paper, we propose a novel architecture for the task of 3D human ...
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09/08/2019
L_DMI: An Information-theoretic Noise-robust Loss Function
Accurately annotating large scale dataset is notoriously expensive both ...
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09/03/2019
MRI Reconstruction Using Deep Bayesian Inference
Purpose: To develop a deep learning-based Bayesian inference for MRI rec...
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05/31/2019