Hang Min

18 papers Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
MedNet-PVS: A MedNeXt-Based Deep Learning Model for Automated Segmentation of Perivascular Spaces.
CoRR
Zhen Xuen Brandon Low, Rory Zhang, Hang Min, William Pham, Lucy Vivash, Jasmine Moses, Miranda Lynch, Karina Dorfman, Cassandra Marotta, Shaun Koh, Jacob Bunyamin, Ella Rowsthorn, Alex Jarema, Himashi Peiris, Zhaolin Chen, Sandy R. Shultz, David K. Wright, Dexiao Kong, Sharon L. Naismith, Terence J. O'Brien, Ying Xia, Meng Law, Benjamin Sinclair
2025 J jnl
Standardized Evaluation of Automatic Methods for Perivascular Spaces Segmentation in MRI - MICCAI 2024 Challenge Results.
CoRR
Yilei Wu, Yichi Zhang, Zijian Dong, Fang Ji, An Sen Tan, Gifford Tan, Sizhao Tang, Huijuan Chen, Zijiao Chen, Eric Kwun Kei Ng, José Bernal, Hang Min, Ying Xia, Ines Vati, Liz Cooper, Xiaoyu Hu, Yuchen Pei, Yutao Ma, Victor Nozais, Ami Tsuchida, Pierre-Yves Hervé, Philippe Boutinaud, Marc Joliot, Junghwa Kang, Wooseung Kim, Dayeon Bak, Rachika E. Hamadache, Valeriia Abramova, Xavier Lladó, Yuntao Zhu, Zhenyu Gong, Xin Chen, John McFadden, Pek Lan Khong, Roberto Duarte Coello, Hongwei Bran Li, Woon Puay Koh, Christopher Chen, Joanna M. Wardlaw, Maria del C. Valdés Hernández, Juan Helen Zhou
2024 J jnl
Evaluating the Impact of Sequence Combinations on Breast Tumor Segmentation in Multiparametric MRI.
CoRR
Hang Min, Gorane Santamaria Hormaechea, Prabhakar Ramachandran, Jason Dowling
2024 J jnl
Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets.
Comput. Medical Imaging Graph.
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
2023 — conf
A FHIR Native Radiology Informatics Platform.
MedInfo
Parnesh Raniga, Hang Min, Hugo Leroux
2023 J jnl
End-to-end speaker identification research based on multi-scale SincNet and CGAN.
Neural Comput. Appl.
Guangcun Wei, Yanna Zhang, Hang Min, Yunfei Xu
2022 — conf
A speaker verification method using frame-level self-attention.
ICCIR
Chunxiao Zhang, Guangcun Wei, Yunfei Xu, Hang Min
2022 — conf
CSIRO at the ImageCLEFmedical 2022 Tuberculosis Caverns Detection Challenge: A 2D and 3D Deep Learning Detection Network Approach.
CLEF (Working Notes)
Bowen Xin, Hang Min, Ashley G. Gillman, Bevan Koopman, Jason Dowling, Aaron Nicolson
2022 — conf
Effect of PSPH on Angiogenesis and Migration of Hepatocellular Carcinoma Cells.
ICBBT
Hang Min, Hao Zhou, Duo Zheng, Yang Deng, Fujian Wan, Shijie Ding, Jingjiao Zhou, Jun Zhou
2022 — conf
Effects of FLVCR1 on Proliferation and Migration of Hepatocellular Carcinoma Cells.
ICBBT
Hao Zhou, Hang Min, Changxia Mao, Yang Deng, Xinyue Wei, Jun Zhou
2022 — conf
Text-Independent Speaker Identification Using a Single-Scale SincNet-DCGAN Model.
DMBD (2)
Yanna Zhang, Guangcun Wei, Hang Min, Yunfei Xu
2020 J jnl
Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI.
CoRR
Hang Min, Darryl McClymont, Shekhar S. Chandra, Stuart Crozier, Andrew P. Bradley
2020 — —
Computer aided lesion detection, segmentation and characterization on mammography and breast MRI
Hang Min
2020 — conf
Fully Automatic Computer-aided Mass Detection and Segmentation via Pseudo-color Mammograms and Mask R-CNN.
ISBI
Hang Min, Devin Wilson, Yinhuang Huang, Siyu Liu, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra
2019 J jnl
Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN.
CoRR
Hang Min, Devin Wilson, Yinhuang Huang, Samuel Kelly, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra
2018 — ed.
Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings
RAMBO+BIA+TIA@MICCAI
Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne L. Martel, Lena Maier-Hein, Kanwal K. Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Catarina Veiga
2017 J jnl
An analysis of the electricity market and power needs in Shandong using vector autoregression.
Int. J. Appl. Decis. Sci.
Songqing Yu, Junhai Ma, Hang Min, Xueli Zhan
2017 — conf
Multi-scale mass segmentation for mammograms via cascaded random forests.
ISBI
Hang Min, Shekhar S. Chandra, Neeraj Dhungel, Stuart Crozier, Andrew P. Bradley