Hang Min

According to our database, Hang Min authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluating the Impact of Sequence Combinations on Breast Tumor Segmentation in Multiparametric MRI.

Hang Min, Gorane Santamaria Hormaechea, Prabhakar Ramachandran, Jason Dowling

CoRR, 2024

Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets.

Phillip Chlap, Hang Min, Jason Dowling, Matthew Field, Kirrily Cloak, Trevor Leong, Mark Lee, Julie Chu, Jennifer Tan, Phillip Tran, Tomas Kron, Mark Sidhom, Kirsty Wiltshire, Sarah Keats, Andrew Kneebone, Annette Haworth, Martin A. Ebert, Shalini K. Vinod, Lois Holloway

Comput. Medical Imaging Graph., 2024

2023

End-to-end speaker identification research based on multi-scale SincNet and CGAN.

Guangcun Wei, Yanna Zhang, Hang Min, Yunfei Xu

Neural Comput. Appl., October, 2023

A FHIR Native Radiology Informatics Platform.

Parnesh Raniga, Hang Min, Hugo Leroux

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022

A speaker verification method using frame-level self-attention.

Chunxiao Zhang, Guangcun Wei, Yunfei Xu, Hang Min

Proceedings of the 2nd International Conference on Control and Intelligent Robotics, 2022

Effects of FLVCR1 on Proliferation and Migration of Hepatocellular Carcinoma Cells.

Hao Zhou, Hang Min, Changxia Mao, Yang Deng, Xinyue Wei, Jun Zhou

Proceedings of the ICBBT 2022: 14th International Conference on Bioinformatics and Biomedical Technology, Xi'an, China, May 27, 2022

Effect of PSPH on Angiogenesis and Migration of Hepatocellular Carcinoma Cells.

Hang Min, Hao Zhou, Duo Zheng, Yang Deng, Fujian Wan, Shijie Ding, Jingjiao Zhou, Jun Zhou

Proceedings of the ICBBT 2022: 14th International Conference on Bioinformatics and Biomedical Technology, Xi'an, China, May 27, 2022

Text-Independent Speaker Identification Using a Single-Scale SincNet-DCGAN Model.

Yanna Zhang, Guangcun Wei, Hang Min, Yunfei Xu

Proceedings of the Data Mining and Big Data - 7th International Conference, 2022

CSIRO at the ImageCLEFmedical 2022 Tuberculosis Caverns Detection Challenge: A 2D and 3D Deep Learning Detection Network Approach.

Bowen Xin, Hang Min, Ashley G. Gillman, Bevan Koopman, Jason Dowling, Aaron Nicolson

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2020

Computer aided lesion detection, segmentation and characterization on mammography and breast MRI

Hang Min

PhD thesis, 2020

Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI.

Hang Min, Darryl McClymont, Shekhar S. Chandra, Stuart Crozier, Andrew P. Bradley

CoRR, 2020

Fully Automatic Computer-aided Mass Detection and Segmentation via Pseudo-color Mammograms and Mask R-CNN.

Hang Min, Devin Wilson, Yinhuang Huang, Siyu Liu, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN.

Hang Min, Devin Wilson, Yinhuang Huang, Samuel Kelly, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra

CoRR, 2019

2017

An analysis of the electricity market and power needs in Shandong using vector autoregression.

Songqing Yu, Junhai Ma, Hang Min, Xueli Zhan

Int. J. Appl. Decis. Sci., 2017

Multi-scale mass segmentation for mammograms via cascaded random forests.

Hang Min, Shekhar S. Chandra, Neeraj Dhungel, Stuart Crozier, Andrew P. Bradley

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017