Daniel Tse

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 16

Top Topics

Colorectal Cancer

Chest Radiographs

Survival Prediction

Top Venues

TrustCom/BigDataSE

Publications

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
Advancing Multimodal Medical Capabilities of Gemini. CoRR (2024)
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
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders. CoRR (2023)
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
AI system for fetal ultrasound in low-resource settings. CoRR (2022)
Chace Lee, Angelica Willis, Christina Chen, Marcin Sieniek, Akib Uddin, Jonny Wong, Rory Pilgrim, Katherine Chou, Daniel Tse, Shravya Shetty, Ryan G. Gomes
Enabling faster and more reliable sonographic assessment of gestational age through machine learning. CoRR (2022)
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
Interpretable survival prediction for colorectal cancer using deep learning. npj Digit. Medicine 4 (2021)
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
Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries. CoRR (2021)
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
Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases. CoRR (2020)
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
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning. CoRR (2020)
Daniel Tse, Tianjia Wen, Ru Wu, Ge Yin, Xinlu Zhai
Factors Affecting Customer Acceptance of Mobile Payment. IEEM (2019)
Daniel Tse, Rui Li, Hanqi Zheng
Risks Facing Smart City Information Security in Hangzhou. ICSEB (2019)
Daniel Tse, Chung-kin Chow, Ting-pong Ly, Chung-yan Tong, Kwok-wah Tam
The Challenges of Big Data Governance in Healthcare. TrustCom/BigDataSE (2018)
Daniel Tse, Xiaoting Pan, Yuan Zong, Jiaxi Liu, Qinyan Yang
Assessing Information Security Risk Using Markov Chain. IEEM (2018)
Daniel Tse, Kecong Huang, Bin Cai, Kaicheng Liang
Robust Password-keeping System Using Block-chain Technology. IEEM (2018)
Daniel Tse, Hok Hin Yuen, Qiran He, Chaoya Wang, Jiheng Yu
The security vulnerabilities of on-demand and sharing economy. ICEEG (2018)
Daniel Tse, Xuan Weng, Xin Wan, Lan Yao, Wensong Zhang
Research on Information Security Perception of Sina Weibo Users Based on KISCAP Model. TrustCom/BigDataSE (2018)
Daniel Tse, Lu Wang, Yuxi Li
Mobility Management for Enterprises in BYOD Deployment. Trustcom/BigDataSE/ISPA (2016)
Will Radford, Daniel Tse, Joel Nothman, Ben Hachey, George Wright, James R. Curran, Will Cannings, Timothy O'Keefe, Matthew Honnibal, David Vadas, Candice Loxley
The Computable News project: Research in the Newsroom. WWW (Companion Volume) (2015)
Daniel Tse, X. Liu, Christopher Nusaputra, B. Hu, Wang Y, M. W. Xing
Strategies in Improving Android Security. PACIS (2014)
Daniel Tse, Zihuan Li, Ka Fai Wong, Yuhui Tao, Wei Liu, Wai Hou Choi
Two-factor Protection Scheme in Securing the Source Code of Android Applications. BCS International IT Conferenc (2014)
Jonathan K. Kummerfeld, Daniel Tse, James R. Curran, Dan Klein
An Empirical Examination of Challenges in Chinese Parsing. ACL (2) (2013)
Glen Pink, Andrew Naoum, Will Radford, Will Cannings, Joel Nothman, Daniel Tse, James R. Curran
SYDNEY CMCRC at TAC 2013. TAC (2013)
Will Radford, Will Cannings, Joel Nothman, Daniel Tse, James R. Curran, Andrew Naoum, Glen Pink
(Almost) Total Recall - SYDNEY CMCRC at TAC 2012. TAC (2012)
Daniel Tse, James R. Curran
The Challenges of Parsing Chinese with Combinatory Categorial Grammar. HLT-NAACL (2012)
Daniel Tse, James R. Curran
Chinese CCGbank: extracting CCG derivations from the Penn Chinese Treebank. COLING (2010)
Xiaohua Liu, Kuan Li, Bo Han, Ming Zhou, Long Jiang, Daniel Tse, Zhongyang Xiong
Collective Semantic Role Labeling on Open News Corpus by Leveraging Redundancy. COLING (Posters) (2010)
Daniel Tse, James R. Curran
Punctuation Normalisation for Cleaner Treebanks and Parsers. ALTA (2008)
Daniel Tse, James R. Curran
Extending CCGbank with Quotes and Multi-modal CCG. ALTA (2007)
Daniel Tse
Security in Modern Business: Security Assessment Model for Information Security Practices. PACIS (2004)