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Michael Z. Liu
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2020 – today
- 2022
- [j12]Shawn Sun, Simukayi Mutasa, Michael Z. Liu, John Nemer, Mary Sun, Maham Siddique, Elise Desperito, Sachin Jambawalikar, Richard S. Ha:
Deep learning prediction of axillary lymph node status using ultrasound images. Comput. Biol. Medicine 143: 105250 (2022) - [j11]Michael Z. Liu, Luis F. Ochoa, Peter K. C. Wong, John M. Theunissen:
Using OPF-Based Operating Envelopes to Facilitate Residential DER Services. IEEE Trans. Smart Grid 13(6): 4494-4504 (2022) - [c3]Yushan Hou, Michael Z. Liu, Luis F. Ochoa:
Residential PV Hosting Capacity, Voltage Unbalance, and Power Rebalancing: An Australian Case Study. ISGT-Europe 2022: 1-5 - 2021
- [j10]Yu-Cheng Liu, Yulin Liu, Rami Vanguri, Daniel Litwiller, Michael Z. Liu, Hao-Yun Hsu, Richard Ha, Hiram Shaish, Sachin Jambawalikar:
3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices. J. Digit. Imaging 34(5): 1199-1208 (2021) - [j9]Michael Z. Liu, Luis F. Ochoa, Steven H. Low:
On the Implementation of OPF-Based Setpoints for Active Distribution Networks. IEEE Trans. Smart Grid 12(4): 2929-2940 (2021) - [j8]Kyriacos Petrou, Andreas T. Procopiou, Luis Gutierrez-Lagos, Michael Z. Liu, Luis F. Ochoa, Tom Langstaff, John M. Theunissen:
Ensuring Distribution Network Integrity Using Dynamic Operating Limits for Prosumers. IEEE Trans. Smart Grid 12(5): 3877-3888 (2021) - 2020
- [b1]Michael Z. Liu:
Optimal Power Flow for Active Distribution Networks: Advanced Formulations, Practical Considerations and Laboratory Demonstration. University of Melbourne, Parkville, Victoria, Australia, 2020 - [j7]Michael Z. Liu, Rami Vanguri, Simukayi Mutasa, Richard Ha, Yu-Cheng Liu, Terry Button, Sachin Jambawalikar:
Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification. Comput. Biol. Medicine 122: 103798 (2020) - [j6]Michael Z. Liu, Andreas T. Procopiou, Kyriacos Petrou, Luis F. Ochoa, Tom Langstaff, Justin Harding, John M. Theunissen:
On the Fairness of PV Curtailment Schemes in Residential Distribution Networks. IEEE Trans. Smart Grid 11(5): 4502-4512 (2020) - [c2]Kyriacos Petrou, Michael Z. Liu, Andreas T. Procopiou, Luis F. Ochoa, John M. Theunissen, Justin Harding:
Operating Envelopes for Prosumers in LV Networks: A Weighted Proportional Fairness Approach. ISGT-Europe 2020: 579-583 - [c1]William J. Nacmanson, Michael Z. Liu, Luis F. Ochoa:
On the Role of Pre-Curtailed Residential PV for Primary Frequency Response Considering Distribution Network Constraints. ISGT-Europe 2020: 769-773
2010 – 2019
- 2019
- [j5]Richard Ha, Peter D. Chang, Eralda Mema, Simukayi Mutasa, Jenika Karcich, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar:
Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement. J. Digit. Imaging 32(1): 141-147 (2019) - [j4]Richard Ha, Simukayi Mutasa, Jenika Karcich, Nishant Gupta, Eduardo Pascual Van Sant, John Nemer, Mary Sun, Peter D. Chang, Michael Z. Liu, Sachin Jambawalikar:
Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm. J. Digit. Imaging 32(2): 276-282 (2019) - [j3]Richard Ha, Christine Chin, Jenika Karcich, Michael Z. Liu, Peter D. Chang, Simukayi Mutasa, Eduardo Pascual Van Sant, Ralph T. Wynn, Eileen Connolly, Sachin Jambawalikar:
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 32(5): 693-701 (2019) - [j2]Joseph N. Stember, Peter D. Chang, Danielle M. Stember, Michael Z. Liu, Jack Grinband, Christopher G. Filippi, Philip Meyers, Sachin Jambawalikar:
Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography. J. Digit. Imaging 32(5): 808-815 (2019) - 2018
- [j1]Richard Ha, Peter D. Chang, Jenika Karcich, Simukayi Mutasa, Reza Fardanesh, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar:
Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset. J. Digit. Imaging 31(6): 851-856 (2018)
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