A Scalable Pipeline for Transcriptome Profiling Tasks with On-Demand Computing Clouds. - Shayan Shams; Nayong Kim; Xiandong Meng; Ming Tai Ha; Shantenu Jha; Zhong Wang 003; Joohyun Kim 001 (IPDPS Workshops, 2016)

Automated Breast Cancer Diagnosis Using Deep Learning and Region of Interest Detection (BC-DROID). - Richard Platania; Shayan Shams; Seungwon Yang; Jian Zhang 004; Kisung Lee; Seung-Jong Park (BCB, 2017)

Evaluation of Deep Learning Frameworks Over Different HPC Architectures. - Shayan Shams; Richard Platania; Kisung Lee; Seung-Jong Park (ICDCS, 2017)

Hadoop-based replica exchange over heterogeneous distributed cyberinfrastructures. - Richard Platania; Shayan Shams; Chui-Hui Chiu; Nayong Kim; Joohyun Kim 001; Seung-Jong Park (Concurr. Comput. Pract. Exp., 2017)

A Distributed Semi-Supervised Platform for DNase-Seq Data Analytics using Deep Generative Convolutional Networks. - Shayan Shams; Richard Platania; Joohyun Kim 001; Jian Zhang 004; Kisung Lee; Seungwon Yang; Seung-Jong Park (BCB, 2018)

Towards Distributed Cyberinfrastructure for Smart Cities Using Big Data and Deep Learning Technologies. - Shayan Shams; Sayan Goswami; Kisung Lee; Seungwon Yang; Seung-Jong Park (ICDCS, 2018)

GPU-Accelerated Large-Scale Genome Assembly. - Sayan Goswami; Kisung Lee; Shayan Shams; Seung-Jong Park (IPDPS, 2018)

Deep Generative Breast Cancer Screening and Diagnosis. - Shayan Shams; Richard Platania; Jian Zhang 004; Joohyun Kim 001; Seung-Jong Park (MICCAI (2), 2018)

Deep Learning-Based Spatial Analytics for Disaster-Related Tweets: An Experimental Study. - Shayan Shams; Sayan Goswami; Kisung Lee (MDM, 2019)

Social and geographical disparities in Twitter use during Hurricane Harvey. - Lei Zou 002; Nina Siu-Ngan Lam; Shayan Shams; Heng Cai; Michelle A. Meyer; Seungwon Yang; Kisung Lee; Seung-Jong Park; Margaret A. Reams (Int. J. Digit. Earth, 2019)

Fighting for Information Credibility: AnEnd-to-End Framework to Identify FakeNews during Natural Disasters. - Dipak Kumar Singh; Shayan Shams; Joohyun Kim 001; Seung-Jong Park; Seungwon Yang (ISCRAM, 2020)

DBNet: a novel deep learning framework for mechanical ventilation prediction using electronic health records. - Kai Zhang 041; Xiaoqian Jiang; Mahboubeh Madadi; Luyao Chen; Sean I. Savitz; Shayan Shams (BCB, 2021)

An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images. - Tanjida Kabir; Chun-Teh Lee; Jiman Nelson; Sally Sheng; Hsiu-Wan Meng; Luyao Chen; Muhammad F. Walji; Xioaqian Jiang; Shayan Shams (BIBM, 2021)

HEAR: Human Action Recognition via Neural Networks on Homomorphically Encrypted Data. - Miran Kim; Xiaoqian Jiang; Kristin E. Lauter; Elkhan Ismayilzada; Shayan Shams (CoRR, 2021)

Use of the Deep Learning Approach to Measure Alveolar Bone Level. - Chun-Teh Lee; Tanjida Kabir; Jiman Nelson; Sally Sheng; Hsiu-Wan Meng; Thomas E. Van Dyke; Muhammad F. Walji; Xiaoqian Jiang; Shayan Shams (CoRR, 2021)

Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates. - Tongtong Huang; Yan Chu 005; Shayan Shams; Yejin Kim 001; Ananth V. Annapragada; Devika Subramanian; Ioannis A. Kakadiaris; Assaf Gottlieb; Xiaoqian Jiang (J. Biomed. Informatics, 2021)

Predicting multiple sclerosis disease severity with multimodal deep neural networks. - Kai Zhang 041; John A. Lincoln; Xiaoqian Jiang; Elmer V. Bernstam; Shayan Shams (CoRR, 2023)

Dental CLAIRES: Contrastive LAnguage Image REtrieval Search for Dental Research. - Tanjida Kabir; Luyao Chen; Muhammad F. Walji; Luca Giancardo; Xiaoqian Jiang; Shayan Shams (CoRR, 2023)

Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework. - Yan Chu 005; Kaichen Tang; Yu-Chun Hsu; Tongtong Huang; Dulin Wang; Wentao Li; Sean I. Savitz; Xiaoqian Jiang; Shayan Shams (BMC Medical Informatics Decis. Mak., 2023)