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08/20/2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
Federated Learning (FL) is popular for its privacy-preserving and collab...
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07/21/2023
Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs
Deploying deep learning models in cloud clusters provides efficient and ...
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07/01/2023
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
Recently, personalized federated learning (pFL) has attracted increasing...
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02/09/2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
Diffusion Models (DMs) achieve state-of-the-art performance in generativ...
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12/02/2022
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
A key challenge in federated learning (FL) is the statistical heterogene...
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03/04/2022
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision
Medical image segmentation plays an irreplaceable role in computer-assis...
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01/14/2022
TCR-GAN: Predicting tropical cyclone passive microwave rainfall using infrared imagery via generative adversarial networks
Tropical cyclones (TC) generally carry large amounts of water vapor and ...
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12/09/2021
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer
Recently, deep learning with Convolutional Neural Networks (CNNs) and Tr...
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05/25/2021
Fast and Accurate Scene Parsing via Bi-direction Alignment Networks
In this paper, we propose an effective method for fast and accurate scen...
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04/12/2021
SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching
Automatic and accurate lung nodule detection from 3D Computed Tomography...
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12/13/2020
Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma
Gross Target Volume (GTV) segmentation plays an irreplaceable role in ra...
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09/09/2020
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Deep learning-based semi-supervised learning (SSL) algorithms have led t...
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07/07/2020
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
Ischemic stroke lesion segmentation from Computed Tomography Perfusion (...
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08/23/2019
Mutual information neural estimation in CNN-based end-to-end medical image registration
Image registration is one of the most underlined processes in medical im...
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06/06/2019
Generative Model-Based Ischemic Stroke Lesion Segmentation
CT perfusion (CTP) has been used to triage ischemic stroke patients in t...
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07/04/2018