Multi-resolution tile-based follicle detection using color and textural information of follicular lymphoma IHC slides. - Jing Han; Dmitriy V. Shin; Gerald L. Arthur; Chi-Ren Shyu (BIBM Workshops, 2010)

Quantifying the quality of imaging interpretations. - Marius Petruc; Mihail Popescu; John L. Fresen; Dmitriy Shin; Chi-Ren Shyu (AMIA, 2012)

Uncovering influence links in molecular knowledge networks to streamline personalized medicine. - Dmitriy Shin; Gerald C. Arthur; Mihail Popescu; Dmitry Korkin; Chi-Ren Shyu (J. Biomed. Informatics, 2014)

Complexity Reduction and Visualization of RDF Knowledge Networks for Precision medicine. - Zainab Al-Taie; Nattaphon Thanintorn; Ilker Ersoy; Richard D. Hammer; Dong Xu 002; Trupti Joshi; Dmitriy Shin (AMIA, 2016)

RDF-Based Method to Uncover Implicit Health Communication Episodes from Unstructured Healthcare Data. - Pericles S. Giannaris; Zainab Al-Taie; Nattaphon Thanintorn; Ilker Ersoy; Chi-Ren Shyu; Richard D. Hammer; Dmitriy Shin (AMIA, 2016)

RDF Sketch Maps - Knowledge Complexity Reduction for Precision Medicine Analytics. - Nattaphon Thanintorn; Juexin Wang; Ilker Ersoy; Zainab Al-Taie; Yuexu Jiang; Duolin Wang; Megha Verma; Trupti Joshi; Richard D. Hammer; Dong Xu 002; Dmitriy Shin (PSB, 2016)

An informatics research agenda to support precision medicine: seven key areas. - Jessica D. Tenenbaum; Paul Avillach; Marge M. Benham-Hutchins; Matthew K. Breitenstein; Erin L. Crowgey; Mark A. Hoffman; Xia Jiang; Subha Madhavan; John E. Mattison; Radhakrishnan Nagarajan; Bisakha Ray; Dmitriy Shin; et al. (J. Am. Medical Informatics Assoc., 2016)

Quantification of visual diagnostic heuristics during simulated pathology diagnosis. - Mikhail Kovalenko; Richard D. Hammer; Dmitriy Shin (BIBM, 2017)

Knowledge Engineering Framework to Quantify Dependencies between Epidemiological and Biomolecular Factors in Breast Cancer. - Iuliia Innokenteva; Richard D. Hammer; Dmitriy Shin (SWH@ISWC, 2018)

An Informatics Framework for Knowledge Representation and Reconciliation of Disease Pathways. - Yulia Innokenteva; Olha Kholod; Fei He 005; Duolin Wang; Richard D. Hammer; Dong Xu 002; Dmitriy Shin (AMIA, 2019)

Informatics Framework to Identify Consistent Diagnostic Techniques. - Pericles S. Giannaris; Zainab Al-Taie; Mikhail Kovalenko; Richard D. Hammer; Mihail Popescu; Dmitriy Shin (BIBM, 2019)

Extracting Molecular Entities and Their Interactions from Pathway Figures Based on Deep Learning. - Fei He 005; Duolin Wang; Yulia Innokenteva; Olha Kholod; Dmitriy Shin; Dong Xu 002 (BIBM, 2019)

Mutational Forks: Inferring Deregulated Flow of Signal Transduction Based on Patient-Specific Mutations. - Olha Kholod; Zhen Lyu; Jonathan B. Mitchem; Peter J. Tonellato; Trupti Joshi; Dmitriy Shin (BIBM, 2019)

Modeling of Contextual Information in Knowledge Graphs of Diagnostic Reports. - Pericles S. Giannaris; Cynthia Tang; Olha Kholod; Steve Hanson; Chi-Ren Shyu; Richard D. Hammer; Dong Xu 002; Dmitriy Shin (SWH@ISWC, 2019)

Identifying patient-specific flow of signal transduction perturbed by multiple single-nucleotide alterations. - Olha Kholod; Chi-Ren Shyu; Jonathan B. Mitchem; Jussuf T. Kaifi; Dmitriy Shin (Quant. Biol., 2020)

Identifying Genes and Their Interactions from Pathway Figures and Text in Biomedical Articles. - Fei He 005; Joshua Thompson; Ziting Mao; Yijie Ren; Yulia I. Nussbaum; Olha Kholod; Dmitriy Shin; Mark Hannink; Mihail Popescu; Dong Xu 002 (BIBM, 2021)

On the Role of Depth Predictions for 3D Human Pose Estimation. - Alec Diaz-Arias; Dmitriy Shin; Mitchell Messmore; Stephen Baek (FTC (1), 2022)

ConvFormer: parameter reduction in transformer models for 3D human pose estimation by leveraging dynamic multi-headed convolutional attention. - Alec Diaz-Arias; Dmitriy Shin (Vis. Comput., 2024)