Machine Learning in DNA Microarray Analysis for Cancer Classification. - Sung-Bae Cho; Hong-Hee Won (APBC, 2003)

Neural Network Ensemble with Negatively Correlated Features for Cancer Classification. - Hong-Hee Won; Sung-Bae Cho (ICANN, 2003)

Paired neural network with negatively correlated features for cancer classification in DNA gene expression profiles. - Hong-Hee Won; Sung-Bae Cho (IJCNN, 2003)

Data Mining For Gene Expression Profiles From Dna Microarray. - Sung-Bae Cho; Hong-Hee Won (Int. J. Softw. Eng. Knowl. Eng., 2003)

Cancer classification using ensemble of neural networks with multiple significant gene subsets. - Sung-Bae Cho; Hong-Hee Won (Appl. Intell., 2007)

Comparative analysis of the JAK/STAT signaling through erythropoietin receptor and thrombopoietin receptor using a systems approach. - Hong-Hee Won; Inho Park; Eunjung Lee; Jong-Won Kim 001; Doheon Lee (BMC Bioinform., 2009)

WonDerM: Skin Lesion Classification with Fine-tuned Neural Networks. - Yeong Chan Lee; Sang-Hyuk Jung; Hong-Hee Won (CoRR, 2018)

Centernet-based Detection Model And U-net-based Multi-class Segmentation Model For Gastrointestinal Diseases. - Yoon Ho Choi; Yeong Chan Lee; Sanghoon Hong; Junyoung Kim; Hong-Hee Won; Taejun Kim (EndoCV@ISBI, 2020)

Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction. - Yeong Chan Lee; Jiho Cha; Injeong Shim; Woong-Yang Park; Se Woong Kang; Dong Hui Lim; Hong-Hee Won (npj Digit. Medicine, 2023)

Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data. - 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 (Bioinform., 2023)

ICD2Vec: Mathematical representation of diseases. - 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 (J. Biomed. Informatics, 2023)