Dokyoon Kim

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 22

Top Topics

Colorectal Cancer

Multiple Instance Learning

Top Venues

Publications

Doyun Kwon, Young Mi Jung, Hyung-Chul Lee, Tae Kyong Kim, Kwangsoo Kim, Garam Lee, Dokyoon Kim, Seung-Bo Lee, Seung Mi Lee
Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data. J. Biomed. Informatics 156 (2024)
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)
Jacob S. Leiby, Matthew E. Lee, Eun Kyung Choe, Dokyoon Kim
Data-Driven Classification of Fatty Liver From 3D Unenhanced Abdominal CT Scans. MLMI@MICCAI (2) (2023)
Shunian Xiang, Patrick J. Lawrence, Bo Peng, Chienwei Chiang, Dokyoon Kim, Li Shen, Xia Ning
Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing. CoRR (2023)
Daniele Pala, Brian Lee, Xia Ning, Dokyoon Kim, Li Shen
Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease. BIBM (2022)
Hung Mai, Jingxuan Bao, Paul M. Thompson, Dokyoon Kim, Li Shen
Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data. BMC Bioinform. (3) (2022)
Jacob S. Leiby, Jie Hao, Gyeong Hoon Kang, Ji Won Park, Dokyoon Kim
Attention-based multiple instance learning with self-supervision to predict microsatellite instability in colorectal cancer from histology whole-slide images. EMBC (2022)
Jaesik Kim, Dokyoon Kim, Kyung-Ah Sohn
HiG2Vec: hierarchical representations of Gene Ontology and genes in the Poincaré ball. Bioinform. 37 (18) (2021)
Mansu Kim, Jaesik Kim, Jeffrey Qu, Heng Huang, Qi Long, Kyung-Ah Sohn, Dokyoon Kim, Li Shen
Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data. BIBM (2021)
So Yeon Kim, Eun Kyung Choe, Manu K. Shivakumar, Dokyoon Kim, Kyung-Ah Sohn
Multi-layered network-based pathway activity inference using directed random walks: application to predicting clinical outcomes in urologic cancer. Bioinform. 37 (16) (2021)
Dokyoon Kim, Ju Han Kim, Jason H. Moore
Translational Bioinformatics: Integrating Electronic Health Record and Omics Data. PSB (2021)
Brett K. Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma, Shilpa Nadimpalli Kobren
Innovative methodological approaches for data integration to derive patterns across diverse, large-scale biomedical datasets. PSB (2021)
Sangwoo Lee, Eun Kyung Choe, So Yeon Kim, Hua Sun Kim, Kyu Joo Park, Dokyoon Kim
Liver imaging features by convolutional neural network to predict the metachronous liver metastasis in stage I-III colorectal cancer patients based on preoperative abdominal CT scan. BMC Bioinform. (13) (2020)
Jason H. Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Dokyoon Kim, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Li Shen, Ryan J. Urbanowicz, John H. Holmes
Ideas for how informaticians can get involved with COVID-19 research. BioData Min. 13 (1) (2020)
Shilpa Nadimpalli Kobren, Brett Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma
Session Introduction. PSB (2020)
Shefali Setia Verma, Anurag Verma, Dokyoon Kim, Christian Darabos
Session Introduction. PSB (2019)
Jason E. Miller, Manu K. Shivakumar, Shannon L. Risacher, Andrew J. Saykin, SeungGeun Lee, Kwangsik Nho, Dokyoon Kim
Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker. PSB (2018)
Shefali S. Verma, Anastasia Lucas, Xinyuan Zhang, Yogasudha Veturi, Scott M. Dudek, Binglan Li, Ruowang Li, Ryan J. Urbanowicz, Jason H. Moore, Dokyoon Kim, Marylyn D. Ritchie
Collective feature selection to identify crucial epistatic variants. BioData Min. 11 (1) (2018)
Dokyoon Kim, Ruowang Li, Anastasia Lucas, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma. J. Am. Medical Informatics Assoc. 24 (3) (2017)
Dokyoon Kim, Anna Okula Basile, Lisa Bang, Emrin Horgusluoglu, SeungGeun Lee, Marylyn D. Ritchie, Andrew J. Saykin, Kwangsik Nho
Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease. BMC Medical Informatics Decis. Mak. 17 (S-1) (2017)
Dokyoon Kim, Anastasia Lucas, Joseph Glessner, Shefali S. Verma, Yukiko Bradford, Ruowang Li, Alex T. Frase, Hakon Hakonarson, Peggy L. Peissig, Murray H. Brilliant, Marylyn D. Ritchie
Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden. PSB (2016)
Ruowang Li, Scott M. Dudek, Dokyoon Kim, Molly A. Hall, Yukiko Bradford, Peggy L. Peissig, Murray H. Brilliant, James G. Linneman, Catherine A. McCarty, Le Bao, Marylyn D. Ritchie
Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. BioData Min. 9 (2016)
Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie
Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer. J. Biomed. Informatics 56 (2015)
Dokyoon Kim, Ruowang Li, Scott M. Dudek, John R. Wallace, Marylyn D. Ritchie
Binning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma. Pacific Symposium on Biocomputing (2015)
Dokyoon Kim, Je-Gun Joung, Kyung-Ah Sohn, Hyunjung Shin, Yu Rang Park, Marylyn D. Ritchie, Ju Han Kim
Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction. J. Am. Medical Informatics Assoc. 22 (1) (2015)
Dokyoon Kim, Sungeun Kim, Shannon L. Risacher, Li Shen, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). MBIA (2013)
Dokyoon Kim, Hyunjung Shin, Je-Gun Joung, Su-Yeon Lee, Ju Han Kim
Intra-relation reconstruction from inter-relation: miRNA to gene expression. BMC Syst. Biol. 7 (S-3) (2013)
Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie
ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network. BioData Min. 6 (2013)
Kyung-Ah Sohn, Dokyoon Kim, Jaehyun Lim, Ju Han Kim
Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors. BMC Syst. Biol. 7 (S-6) (2013)