Michael Z. Liu

Orcid: 0000-0003-4618-3474

According to our database1, Michael Z. Liu authored at least 16 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
Using OPF-Based Operating Envelopes to Facilitate Residential DER Services.
IEEE Trans. Smart Grid, 2022

Deep learning prediction of axillary lymph node status using ultrasound images.
Comput. Biol. Medicine, 2022

Residential PV Hosting Capacity, Voltage Unbalance, and Power Rebalancing: An Australian Case Study.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022

2021
Ensuring Distribution Network Integrity Using Dynamic Operating Limits for Prosumers.
IEEE Trans. Smart Grid, 2021

On the Implementation of OPF-Based Setpoints for Active Distribution Networks.
IEEE Trans. Smart Grid, 2021

3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices.
J. Digit. Imaging, 2021

2020
Optimal Power Flow for Active Distribution Networks: Advanced Formulations, Practical Considerations and Laboratory Demonstration.
PhD thesis, 2020

On the Fairness of PV Curtailment Schemes in Residential Distribution Networks.
IEEE Trans. Smart Grid, 2020

Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification.
Comput. Biol. Medicine, 2020

Operating Envelopes for Prosumers in LV Networks: A Weighted Proportional Fairness Approach.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

On the Role of Pre-Curtailed Residential PV for Primary Frequency Response Considering Distribution Network Constraints.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

2019
Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography.
J. Digit. Imaging, 2019

Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm.
J. Digit. Imaging, 2019

Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement.
J. Digit. Imaging, 2019

Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.
J. Digit. Imaging, 2019

2018
Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.
J. Digit. Imaging, 2018


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