Po-Hao Chen

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 17

Top Topics

Natural Language

Multiclass Classification

Top Venues

J. Digit. Imaging

Publications

Sonia Horchidan, Po-Hao Chen, Emmanouil Kritharakis, Paris Carbone, Vasiliki Kalavri
Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems. EDBT (2024)
Yuhang Song, Po-Hao Chen, Yuchen Lu, Naima Abrar, Vasiliki Kalavri
In situ neighborhood sampling for large-scale GNN training. DaMoN (2024)
Pouya Haghi, William Krska, Cheng Tan, Tong Geng, Po-Hao Chen, Connor Greenwood, Anqi Guo, Thomas Hines, Chunshu Wu, Ang Li, Anthony Skjellum, Martin C. Herbordt
FLASH: FPGA-Accelerated Smart Switches with GCN Case Study. ICS (2023)
Pouya Haghi, Ryan J. Marshall, Po-Hao Chen, Anthony Skjellum, Martin C. Herbordt
A Survey of Potential MPI Complex Collectives: Large-Scale Mining and Analysis of HPC Applications. CoRR (2023)
Po-Hao Chen, Kurt Keville
Big Memory Servers and Modern Approaches to Disk-Based Computation. CoRR (2022)
Po-Hao Chen, Pouya Haghi, Jae Yoon Chung, Tong Geng, Richard West, Anthony Skjellum, Martin C. Herbordt
The Viability of Using Online Prediction to Perform Extra Work while Executing BSP Applications. HPEC (2022)
Brian Arun Xavier, Po-Hao Chen
Natural Language Processing for Imaging Protocol Assignment: Machine Learning for Multiclass Classification of Abdominal CT Protocols Using Indication Text Data. J. Digit. Imaging 35 (5) (2022)
Jeffrey D. Rudie, Jeffrey T. Duda, Michael Tran Duong, Po-Hao Chen, Long Xie, Robert Kurtz, Jeffrey B. Ware, Joshua Choi, Raghav R. Mattay, Emmanuel J. Botzolakis, James C. Gee, R. Nick Bryan, Tessa Sundaram Cook, Suyash Mohan, Ilya M. Nasrallah, Andreas M. Rauschecker
Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. J. Digit. Imaging 34 (4) (2021)
Po-Hao Chen, Robert Bodak, Namita S. Gandhi
Ransomware Recovery and Imaging Operations: Lessons Learned and Planning Considerations. J. Digit. Imaging 34 (3) (2021)
Chen-Kai Wang, Hong-Jie Dai, You-Chen Zhang, Bo-Chun Xu, Bo-Hong Wang, You-Ning Xu, Po-Hao Chen, Chung-Hong Lee
ISLab System for SMM4H Shared Task 2020. SMM4H@COLING (2020)
Chih-Chang Yu, Hsiao-Wei Chen, Tzu-Ying Chen, Po-Hao Chen, Hsu-Yung Cheng
An Application of Text Detection and Recognition for Electronic Design Automation. ICCE-TW (2020)
Chia-Han Lee, Jia-Wei Lin, Po-Hao Chen, Yu-Chieh Chang
Deep Learning-Constructed Joint Transmission-Recognition for Internet of Things. IEEE Access 7 (2019)
Po-Hao Chen, Nathan M. Cross
IoT in Radiology: Using Raspberry Pi to Automatically Log Telephone Calls in the Reading Room. J. Digit. Imaging 31 (3) (2018)
Pei-Chi Hu, Po-Hao Chen, Po-Chih Kuo
Educational Model Based on Hands-on Brain-Computer Interface: Implementation of Music Composition Using EEG. SMC (2018)
Po-Hao Chen, Hanna M. Zafar, Maya Galperin-Aizenberg, Tessa Sundaram Cook
Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports. J. Digit. Imaging 31 (2) (2018)
Po-Hao Chen, Chi-Lin Lee, Jing-Yu Chen, Po-Wei Chen, James Chien-Mo Li
Physical-aware diagnosis of multiple interconnect defects. ITC-Asia (2017)
Po-Hao Chen, Thomas W. Loehfelm, Aaron P. Kamer, Andrew B. Lemmon, Tessa Sundaram Cook, Marc D. Kohli
Toward Data-Driven Radiology Education - Early Experience Building Multi-Institutional Academic Trainee Interpretation Log Database (MATILDA). J. Digit. Imaging 29 (6) (2016)
Shih-Min Chao, Po-Juei Chen, Jing-Yu Chen, Po-Hao Chen, Ang-Feng Lin, James Chien-Mo Li, Pei-Ying Hsueh, Chun-Yi Kuo, Ying-Yen Chen, Jih-Nung Li
Divide and conquer diagnosis for multiple defects. ITC (2014)
Sung-huai Hsieh, Po-Hsun Cheng, Chi-Huang Chen, Kuo-Hsuan Huang, Po-Hao Chen, Yung-Ching Weng, Sheau-Ling Hsieh, Feipei Lai
A Multi-Voting Enhancement for Newborn Screening Healthcare Information System. J. Medical Syst. 34 (4) (2010)
Sung-huai Hsieh, Yin-Hsiu Chien, Chia-Ping Shen, Wei-Hsin Chen, Po-Hao Chen, Sheau-Ling Hsieh, Po-Hsun Cheng, Feipei Lai
Newborn Screening System Based on Adaptive Feature Selection and Support Vector Machines. BIBE (2009)