Bo Zhou

Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning

Gating is commonly used in PET imaging to reduce respiratory motion blur...
09/14/2020 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency

Limited view tomographic reconstruction aims to reconstruct a tomographi...
09/03/2020 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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On extremal leaf status and internal status of trees

For a vertex u of a tree T, the leaf (internal, respectively) status of ...
08/02/2020 ∙ by Haiyan Guo, et al. ∙ 0 ∙ share

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Age of Information in Ultra-Dense IoT Systems: Performance and Mean-Field Game Analysis

In this paper, a dense Internet of Things (IoT) monitoring system is con...
06/29/2020 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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DeepFaceLab: A simple, flexible and extensible face swapping framework

DeepFaceLab is an open-source deepfake system created by iperov for face...
05/12/2020 ∙ by Ivan Perov, et al. ∙ 17 ∙ share

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A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials

Herein we propose a deep learning-based approach for the prediction of l...
03/05/2020 ∙ by Antong Chen, et al. ∙ 0 ∙ share

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Risk-Aware Optimization of Age of Information in the Internet of Things

For time-sensitive Internet of Things (IoT) applications, a risk-neutral...
02/23/2020 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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On the Age of Information in Internet of Things Systems with Correlated Devices

In this paper, a real-time Internet of Things (IoT) monitoring system is...
01/30/2020 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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Age of Information Analysis for Dynamic Spectrum Sharing

Timely information updates are critical to time-sensitive applications i...
01/28/2020 ∙ by Yao Zhao, et al. ∙ 0 ∙ share

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DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior

MRI with multiple protocols is commonly used for diagnosis, but it suffe...
01/11/2020 ∙ by Bo Zhou, et al. ∙ 24 ∙ share

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Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion

By integrating dynamics models into model-free reinforcement learning (R...
12/10/2019 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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Minimum status, matching and domination of graphs

The minimum status of a graph is the minimum of statuses of all vertices...
09/08/2019 ∙ by Caixia Liang, et al. ∙ 0 ∙ share

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CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT

As the demand for more descriptive machine learning models grows within ...
09/05/2019 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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Soft Subdivision Motion Planning for Complex Planar Robots

The design and implementation of theoretically-sound robot motion planni...
06/14/2019 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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On the Reliability of Wireless Virtual Reality at Terahertz (THz) Frequencies

Guaranteeing ultra reliable low latency communications (URLLC) with high...
05/18/2019 ∙ by Christina Chaccour, et al. ∙ 0 ∙ share

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Artificial Intelligence for Prosthetics - challenge solutions

In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
02/07/2019 ∙ by Łukasz Kidziński, et al. ∙ 0 ∙ share

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Minimum Age of Information in the Internet of Things with Non-uniform Status Packet Sizes

In this paper, a real-time Internet of Things (IoT) monitoring system is...
01/21/2019 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation

Combining deep neural networks with reinforcement learning has shown gre...
11/15/2018 ∙ by Fan Wang, et al. ∙ 0 ∙ share

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A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions

Volumetric segmentation of lesions on CT scans is important for many typ...
11/11/2018 ∙ by Bo Zhou, et al. ∙ 6 ∙ share

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Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs using Multi-scale and Conditional Adversarial Network

Dual-energy (DE) chest radiographs provide greater diagnostic informatio...
10/22/2018 ∙ by Bo Zhou, et al. ∙ 2 ∙ share

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Joint Status Sampling and Updating for Minimizing Age of Information in the Internet of Things

The effective operation of time-critical Internet of things (IoT) applic...
07/11/2018 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities

We present a weakly supervised deep learning model for classifying disea...
07/03/2018 ∙ by Bo Zhou, et al. ∙ 4 ∙ share

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Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations

The convolutional neural network (CNN) has become a powerful tool for va...
05/31/2018 ∙ by Guannan Zhao, et al. ∙ 2 ∙ share

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Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography

Electron Cryo-Tomography (ECT) enables 3D visualization of macromolecule...
01/31/2018 ∙ by Jialiang Guo, et al. ∙ 0 ∙ share

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Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms

Electron Cryo-Tomography (ECT) allows 3D visualization of subcellular st...
01/31/2018 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction

Explicitly or implicitly, most of dimensionality reduction methods need ...
09/09/2017 ∙ by Yanwei Pang, et al. ∙ 0 ∙ share

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Validation of Internal Meters of Mobile Android Devices

In this paper we outline our results for validating the precision of the...
01/24/2017 ∙ by Mahmoud A. Bokhari, et al. ∙ 0 ∙ share

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Transforming Sensor Data to the Image Domain for Deep Learning - an Application to Footstep Detection

Convolutional Neural Networks (CNNs) have become the state-of-the-art in...
01/04/2017 ∙ by Monit Shah Singh, et al. ∙ 0 ∙ share

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Bo Zhou

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