Hong-Jun Yoon

发表

Classifying cancer pathology reports with hierarchical self-attention networks

Shang Gao, John X. Qiu, Mohammed Alawad, 2019, Artif. Intell. Medicine.

Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts

Hong-Jun Yoon, Georgia Tourassi, John Gounley, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Survey of image denoising methods for medical image classification

Hong-Jun Yoon, Peter Michael, Hong-Jun Yoon, 2020, Medical Imaging.

Spatial localization accuracy of radiologists in free-response studies: Inferring perceptual FROC curves from mark-rating data.

Claudia Mello-Thoms, Hong-Jun Yoon, Dev Chakraborty, 2007, Academic radiology.

Deep Gaze Velocity Analysis During Mammographic Reading for Biometric Identification of Radiologists

Hong-Jun Yoon, Georgia D. Tourassi, Folami Alamudun, 2018 .

A novel web informatics approach for automated surveillance of cancer mortality trends

Hong-Jun Yoon, Songhua Xu, Georgia Tourassi, 2016, J. Biomed. Informatics.

Comparative analysis of data collection methods for individualized modeling of radiologists' visual similarity judgments in mammograms.

Hong-Jun Yoon, Songhua Xu, Georgia Tourassi, 2013, Academic radiology.

Personalized modeling of human gaze: Exploratory investigation on mammogram readings

Hong-Jun Yoon, Georgia Tourassi, Sophie Voisin, 2013, 2013 Biomedical Sciences and Engineering Conference (BSEC).

CAFCW 105 Acceleration of Hyperparameter Optimization via Task Parallelism for Information Extraction from Cancer Pathology Reports

Hong-Jun Yoon, John Gounley, 2019 .

Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports

Hilda B. Klasky, Mohammed Alawad, Hong-Jun Yoon, 2020, J. Biomed. Informatics.

Privacy-Preserving Deep Learning NLP Models for Cancer Registries

Hong-Jun Yoon, Lynne Penberthy, Xiao-Cheng Wu, 2020, IEEE Transactions on Emerging Topics in Computing.

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks

John X. Qiu, Mohammed Alawad, Hong-Jun Yoon, 2019, J. Am. Medical Informatics Assoc..

Application of threshold-bias independent analysis to eye-tracking and FROC data.

Claudia Mello-Thoms, Hong-Jun Yoon, Dev P Chakraborty, 2012, Academic radiology.