Hong-Hee Won

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 5

Top Topics

Top Venues

npj Digit. Medicine

Publications

Yonghyun Nam, Sang-Hyuk Jung, Jae-Seung Yun, Vivek Sriram, Pankhuri Singhal, Marta Byrska-Bishop, Anurag Verma, Hyunjung Shin, Woong-Yang Park, Hong-Hee Won, Dokyoon Kim
Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data. Bioinform. 39 (1) (2023)
Yeong Chan Lee, Jiho Cha, Injeong Shim, Woong-Yang Park, Se Woong Kang, Dong Hui Lim, Hong-Hee Won
Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction. npj Digit. Medicine 6 (2023)
Yeong Chan Lee, Sang-Hyuk Jung, Aman Kumar, Injeong Shim, Minku Song, Min Seo Kim, Kyunga Kim, Woojae Myung, Woong-Yang Park, Hong-Hee Won
ICD2Vec: Mathematical representation of diseases. J. Biomed. Informatics 141 (2023)
Yoon Ho Choi, Yeong Chan Lee, Sanghoon Hong, Junyoung Kim, Hong-Hee Won, Taejun Kim
Centernet-based Detection Model And U-net-based Multi-class Segmentation Model For Gastrointestinal Diseases. EndoCV@ISBI (2020)
Yeong Chan Lee, Sang-Hyuk Jung, Hong-Hee Won
WonDerM: Skin Lesion Classification with Fine-tuned Neural Networks. CoRR (2018)
Hong-Hee Won, Inho Park, Eunjung Lee, Jong-Won Kim, Doheon Lee
Comparative analysis of the JAK/STAT signaling through erythropoietin receptor and thrombopoietin receptor using a systems approach. BMC Bioinform. 10 (S-1) (2009)
Sung-Bae Cho, Hong-Hee Won
Cancer classification using ensemble of neural networks with multiple significant gene subsets. Appl. Intell. 26 (3) (2007)
Hong-Hee Won, Sung-Bae Cho
Neural Network Ensemble with Negatively Correlated Features for Cancer Classification. ICANN (2003)
Sung-Bae Cho, Hong-Hee Won
Machine Learning in DNA Microarray Analysis for Cancer Classification. APBC (2003)
Sung-Bae Cho, Hong-Hee Won
Data Mining For Gene Expression Profiles From Dna Microarray. Int. J. Softw. Eng. Knowl. Eng. 13 (6) (2003)