Daniel Tse

According to our database, Daniel Tse authored at least 27 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Advancing Multimodal Medical Capabilities of Gemini.

Lin Yang, Shawn Xu, Andrew Sellergren, Timo Kohlberger, Yuchen Zhou, Ira Ktena, Atilla P. Kiraly, Faruk Ahmed, Farhad Hormozdiari, Tiam Jaroensri, Eric Wang, Ellery Wulczyn, Fayaz Jamil, Theo Guidroz, Chuck Lau, Siyuan Qiao, Yun Liu, Akshay Goel, Kendall Park, Arnav Agharwal, Nick George, Yang Wang, Ryutaro Tanno, David G. T. Barrett, Wei-Hung Weng, S. Sara Mahdavi, Khaled Saab, Tao Tu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Jorge Cuadros, Gregory Sorensen, Yossi Matias, Katherine Chou, Greg Corrado, Joelle K. Barral, Shravya Shetty, David J. Fleet, S. M. Ali Eslami, Daniel Tse, Shruthi Prabhakara, Cory Y. McLean, Dave Steiner, Rory Pilgrim, Christopher Kelly, Shekoofeh Azizi, Daniel Golden

CoRR, 2024

2023

ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders.

Shawn Xu, Lin Yang, Christopher Kelly, Marcin Sieniek, Timo Kohlberger, Martin Ma, Wei-Hung Weng, Attila Kiraly, Sahar Kazemzadeh, Zakkai Melamed, Jungyeon Park, Patricia Strachan, Yun Liu, Chuck Lau, Preeti Singh, Christina Chen, Mozziyar Etemadi, Sreenivasa Raju Kalidindi, Yossi Matias, Katherine Chou, Gregory S. Corrado, Shravya Shetty, Daniel Tse, Shruthi Prabhakara, Daniel Golden, Rory Pilgrim, Krish Eswaran, Andrew Sellergren

CoRR, 2023

2022

Enabling faster and more reliable sonographic assessment of gestational age through machine learning.

Chace Lee, Angelica Willis, Christina Chen, Marcin Sieniek, Akib Uddin, Jonny Wong, Rory Pilgrim, Katherine Chou, Daniel Tse, Shravya Shetty, Ryan G. Gomes

CoRR, 2022

AI system for fetal ultrasound in low-resource settings.

Ryan G. Gomes, Bellington Vwalika, Chace Lee, Angelica Willis, Marcin Sieniek, Joan T. Price, Christina Chen, Margaret P. Kasaro, James A. Taylor, Elizabeth M. Stringer, Scott Mayer McKinney, Ntazana Sindano, George E. Dahl, William Goodnight III, Justin Gilmer, Benjamin H. Chi, Charles Lau, Terry Spitz, T. Saensuksopa, Kris Liu, Jonny Wong, Rory Pilgrim, Akib Uddin, Greg Corrado, Lily Peng, Katherine Chou, Daniel Tse, Jeffrey S. A. Stringer, Shravya Shetty

CoRR, 2022

2021

Interpretable survival prediction for colorectal cancer using deep learning.

Ellery Wulczyn, David F. Steiner, Melissa Moran, Markus Plass, Robert Reihs, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Peter Regitnig, Po-Hsuan Cameron Chen, Narayan Hegde, Apaar Sadhwani, Robert MacDonald, Benny Ayalew, Gregory S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel

npj Digit. Medicine, 2021

Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries.

Sahar Kazemzadeh, Jin Yu, Shahar Jamshy, Rory Pilgrim, Zaid Nabulsi, Christina Chen, Neeral Beladia, Charles Lau, Scott Mayer McKinney, Thad Hughes, Atilla P. Kiraly, Sreenivasa Raju Kalidindi, Monde Muyoyeta, Jameson Malemela, Ting Shih, Gregory S. Corrado, Lily Peng, Katherine Chou, Po-Hsuan Cameron Chen, Yun Liu, Krish Eswaran, Daniel Tse, Shravya Shetty, Shruthi Prabhakara

CoRR, 2021

2020

Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases.

Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy, Charles Lau, Eddie Santos, Atilla P. Kiraly, Wenxing Ye, Jie Yang, Sahar Kazemzadeh, Jin Yu, Raju Kalidindi, Mozziyar Etemadi, Florencia Garcia Vicente, David S. Melnick, Gregory S. Corrado, Lily Peng, Krish Eswaran, Daniel Tse, Neeral Beladia, Yun Liu, Po-Hsuan Cameron Chen, Shravya Shetty

CoRR, 2020

2019

Factors Affecting Customer Acceptance of Mobile Payment.

Daniel Tse, Tianjia Wen, Ru Wu, Ge Yin, Xinlu Zhai

Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

Risks Facing Smart City Information Security in Hangzhou.

Daniel Tse, Rui Li, Hanqi Zheng

Proceedings of the ICSEB 2019: The 3rd International Conference on Software and e-Business, 2019

2018

Research on Information Security Perception of Sina Weibo Users Based on KISCAP Model.

Daniel Tse, Xuan Weng, Xin Wan, Lan Yao, Wensong Zhang

Proceedings of the 17th IEEE International Conference On Trust, 2018

The Challenges of Big Data Governance in Healthcare.

Daniel Tse, Chung-kin Chow, Ting-pong Ly, Chung-yan Tong, Kwok-wah Tam

Proceedings of the 17th IEEE International Conference On Trust, 2018

Assessing Information Security Risk Using Markov Chain.

Daniel Tse, Xiaoting Pan, Yuan Zong, Jiaxi Liu, Qinyan Yang

Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

Robust Password-keeping System Using Block-chain Technology.

Daniel Tse, Kecong Huang, Bin Cai, Kaicheng Liang

Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

The security vulnerabilities of on-demand and sharing economy.

Daniel Tse, Hok Hin Yuen, Qiran He, Chaoya Wang, Jiheng Yu

Proceedings of the 2nd International Conference on E-commerce, E-Business and E-Government, 2018

2016

Mobility Management for Enterprises in BYOD Deployment.

Daniel Tse, Lu Wang, Yuxi Li

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

2015

The Computable News project: Research in the Newsroom.

Will Radford, Daniel Tse, Joel Nothman, Ben Hachey, George Wright, James R. Curran, Will Cannings, Timothy O'Keefe, Matthew Honnibal, David Vadas, Candice Loxley

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

2014

Strategies in Improving Android Security.

Daniel Tse, X. Liu, Christopher Nusaputra, B. Hu, Wang Y, M. W. Xing

Proceedings of the 18th Pacific Asia Conference on Information Systems, 2014

Two-factor Protection Scheme in Securing the Source Code of Android Applications.

Daniel Tse, Zihuan Li, Ka Fai Wong, Yuhui Tao, Wei Liu, Wai Hou Choi

Proceedings of the Mobility, Intelligent Networks &Smart Societies, Proceedings of the 2nd BCS International IT Conference 2014, Abu Dhabi, United Arab Emirates, 9, 2014

2013

SYDNEY CMCRC at TAC 2013.

Glen Pink, Andrew Naoum, Will Radford, Will Cannings, Joel Nothman, Daniel Tse, James R. Curran

Proceedings of the Sixth Text Analysis Conference, 2013

An Empirical Examination of Challenges in Chinese Parsing.

Jonathan K. Kummerfeld, Daniel Tse, James R. Curran, Dan Klein

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

(Almost) Total Recall - SYDNEY CMCRC at TAC 2012.

Will Radford, Will Cannings, Joel Nothman, Daniel Tse, James R. Curran, Andrew Naoum, Glen Pink

Proceedings of the Fifth Text Analysis Conference, 2012

The Challenges of Parsing Chinese with Combinatory Categorial Grammar.

Daniel Tse, James R. Curran

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

2010

Chinese CCGbank: extracting CCG derivations from the Penn Chinese Treebank.

Daniel Tse, James R. Curran

Proceedings of the COLING 2010, 2010

Collective Semantic Role Labeling on Open News Corpus by Leveraging Redundancy.

Xiaohua Liu, Kuan Li, Bo Han, Ming Zhou, Long Jiang, Daniel Tse, Zhongyang Xiong

Proceedings of the COLING 2010, 2010

2008

Punctuation Normalisation for Cleaner Treebanks and Parsers.

Daniel Tse, James R. Curran

Proceedings of the Australasian Language Technology Association Workshop, 2008

2007

Extending CCGbank with Quotes and Multi-modal CCG.

Daniel Tse, James R. Curran

Proceedings of the Australasian Language Technology Workshop, 2007

2004

Security in Modern Business: Security Assessment Model for Information Security Practices.

Daniel Tse

Proceedings of the Pacific Asia Conference on Information Systems, 2004