Bo Zhou

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Bo Zhou

Featured Co-authors

Sergey Levine

Walid Saad

Mehdi Bennis

Petar Popovski

Le Lu

Ke Chen

Yao Zhao

Markus Wagner

Jing Xiao

Min Xu

Marcus Liwicki

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

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

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

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

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

Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction

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

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

Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms

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

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

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

Artificial Intelligence for Prosthetics - challenge solutions

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

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

Validation of Internal Meters of Mobile Android Devices

Soft Subdivision Motion Planning for Complex Planar Robots

Minimum status, matching and domination of graphs

Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion

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

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

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

Age of Information Analysis for Dynamic Spectrum Sharing

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