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04/30/2023
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI
Multiparametric magnetic resonance imaging (mpMRI) has demonstrated prom...
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04/28/2023
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis
This study aims to develop a novel Cycle-guided Denoising Diffusion Prob...
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02/25/2023
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation
In this work, we propose an adversarial attack-based data augmentation m...
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09/14/2022
Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory
This study proposed a deep learning-based tracking method for ultrasound...
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08/29/2022
Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy
CBCTs in image-guided radiotherapy provide crucial anatomy information f...
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07/25/2022
Technical Report: Assisting Backdoor Federated Learning with Whole Population Knowledge Alignment
Due to the distributed nature of Federated Learning (FL), researchers ha...
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06/28/2022
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions
Motivation: Medical image analysis involves tasks to assist physicians i...
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02/23/2022
FedCAT: Towards Accurate Federated Learning via Device Concatenation
As a promising distributed machine learning paradigm, Federated Learning...
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01/29/2022
Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications
As a promising method of central model training on decentralized device ...
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11/29/2021
Efficient Federated Learning for AIoT Applications Using Knowledge Distillation
As a promising distributed machine learning paradigm, Federated Learning...
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08/09/2021
Deep Learning Based Antenna-time Domain Channel Extrapolation for Hybrid mmWave Massive MIMO
In a time-varying massive multiple-input multipleoutput (MIMO) system, t...
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05/20/2021
Profiling Visual Dynamic Complexity Using a Bio-Robotic Approach
Visual dynamic complexity is a ubiquitous, hidden attribute of the visua...
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03/25/2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review
Medical imaging is widely used in cancer diagnosis and treatment, and ar...
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06/28/2020
FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications
Along with the proliferation of Artificial Intelligence (AI) and Interne...
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01/28/2020
Deep Learning in Multi-organ Segmentation
This paper presents a review of deep learning (DL) in multi-organ segmen...
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01/18/2020
Machine Learning in Quantitative PET Imaging
This paper reviewed the machine learning-based studies for quantitative ...
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12/27/2019
Deep Learning in Medical Image Registration: A Review
This paper presents a review of deep learning (DL) based medical image r...
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12/17/2019
Feature Fusion Use Unsupervised Prior Knowledge to Let Small Object Represent
Fusing low level and high level features is a widely used strategy to pr...
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06/26/2019
Adversarial FDI Attack against AC State Estimation with ANN
Artificial neural network (ANN) provides superior accuracy for nonlinear...
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05/27/2019
ColCOSΦ: A Multiple Pheromone Communication System for Swarm Robotics and Social Insects Research
In the last few decades we have witnessed how the pheromone of social in...
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06/13/2017