Process Control via Internet. - Z. G. Altun; Umit Topaloglu; A. V. Saygin; Coskun Bayrak (Trans. SDPS, 2001)

Polymorphic Compression. - Umit Topaloglu; Coskun Bayrak (ISCIS, 2005)

Secure Mobile Agent Deployment and Communication Towards Autonomous Semantic Grid. - Umit Topaloglu; Coskun Bayrak; Nitin Kanaskar (WRAC, 2005)

Globus security model for grid environment. - Nitin Kanaskar; Umit Topaloglu; Coskun Bayrak (ACM SIGSOFT Softw. Eng. Notes, 2005)

A Child's Story to Illustrate Automated Reasoning Systems Using Opportunity and History. - James D. Jones; Hemant Joshi; Umit Topaloglu; Eric Nelson (ISI, 2006)

"Who Stole the Bat?" Deception Detection on the Basis of Actions. - James D. Jones; Hemant Joshi; Umit Topaloglu; Eric Nelson (SMC, 2006)

Off-the-Record Instant Messaging for Group Conversation. - Jiang Bian 001; Remzi Seker; Umit Topaloglu (IRI, 2007)

A role-based secure group communication framework. - Jiang Bian 001; Umit Topaloglu; Remzi Seker; Coskun Bayrak; Chia-Chu Chiang (SoSE, 2008)

Off-the-Record Secure Chat Room. - Jiang Bian 001; Remzi Seker; Umit Topaloglu; Coskun Bayrak (WEBIST (1), 2008)

Secure mobile agent execution in virtual environment. - Umit Topaloglu; Coskun Bayrak (Auton. Agents Multi Agent Syst., 2008)

Statistical comparison of color model-classifier pairs in hematoxylin and eosin stained histological images. - Mutlu Mete; Umit Topaloglu (CIBCB, 2009)

Design of a Lattice-based Access Control Scheme. - Chia-Chu Chiang; Coskun Bayrak; Remzi Seker; Umit Topaloglu; Rustu Murat Demirer; Nasrola Samadi; Suleyman Tek; Jiang Bian 001; GuangXu Zhou; Xiaoran Wang (SMC, 2009)

Automatic identification of angiogenesis in double stained images of liver tissue. - Mutlu Mete; Leah Hennings; Horace J. Spencer III; Umit Topaloglu (BMC Bioinform., 2009)

Concept integration from the caTIES to i2b2 using the UMLS semantic network. - Vincent Yip; Umit Topaloglu (IHI, 2010)

A Secure Distributed File System for Medical Image Archiving. - Jiang Bian 001; Remzi Seker; Umit Topaloglu (SocialCom/PASSAT, 2010)

Towards large-scale twitter mining for drug-related adverse events. - Jiang Bian 001; Umit Topaloglu; Fan Yu (SHB, 2012)

Understanding biomedicai research collaborations through social network analysis: A case study. - Jiang Bian 001; Mengjun Xie; Umit Topaloglu; Teresa Hudson; William R. Hogan (BIBM, 2013)

SIM: A smartphone-based identity management framework and its application to Arkansas trauma image repository. - Mengjun Xie; Umit Topaloglu; Thomas Powell 003; Chao Peng; Jiang Bian 001 (BIBM, 2013)

Developing a semantically rich ontology for the biobank-administration domain. - Mathias Brochhausen; Martin N. Fransson; Nitin Kanaskar; Mikael Eriksson; Roxana Merino-Martinez; Roger A. Hall; Loreana Norlin; Sanela Kjellqvist; Maria Hortlund; Umit Topaloglu; William R. Hogan; Jan-Eric Litton (J. Biomed. Semant., 2013)

Social network analysis of biomedical research collaboration networks in a CTSA institution. - Jiang Bian 001; Mengjun Xie; Umit Topaloglu; Teresa Hudson; Hari Eswaran; William R. Hogan (J. Biomed. Informatics, 2014)

An Analytics Approach for Adverse Drug Event Discovery. - Mohammadreza Rezaie; Kenji Yoshigoe; Umit Topaloglu (AMIA, 2015)

Developing Biomedical Informatics Capability to Support Learning Health System: Challenges and Potential Solutions. - Martin S. Kohn; Umit Topaloglu; Metin N. Gurcan; Brian J. Wells; Ajay Dharod (AMIA, 2019)

Understanding facilitators and barriers to development and adoption of EHR-to-eCRF technology in multi-site clinical research. - Bhargav Adagarla; Maryam Y. Garza; Karan R. Kumar; Umit Topaloglu; Anita Walden; Kanecia Zimmerman; Meredith N. Zozus; Eric L. Eisenstein (AMIA, 2020)

Extraction of Diagnosis codes from Health Reports using available NLP tools for a performant implementation in an Academic Medical Center. - Arnav Bhandari; Michael Horvath; Greg Kucera; Umit Topaloglu (AMIA, 2020)

Evaluating the Coverage of the HL7® FHIR® Standard to Support eSource Data Exchange Implementations for use in Multi-Site Clinical Research Studies. - Maryam Y. Garza; Michael W. Rutherford; Sahiti Myneni; Susan H. Fenton; Anita Walden; Umit Topaloglu; Eric L. Eisenstein; Karan R. Kumar; Kanecia Zimmerman; Mitra Rocca; Scott Gordon; Sam Hume; et al. (AMIA, 2020)

Leveraging Single-cell Data through Graph-based Artificial Intelligence. - Qianqian Song; Umit Topaloglu; Jing Su 003; Wei Zhang (AMIA, 2020)

Pragmatic Patient Reported Outcomes via EHR Patient Portal vs. Telephone: A Pilot Randomized Controlled Trial among Adults with Epilepsy and Anxiety or Depression Symptoms. - Heidi M. Munger Clary; Beverly M. Snively; Umit Topaloglu; Pamela Duncan; James Kimball; Halley Alexander; Gretchen A. Brenes (AMIA, 2021)

COVID-19 Mortality Prediction among Patients with Cancer Using a Large National Cohort. - Feifan Liu; Noha Sharafeldin; Vithal Madhira; Katie R. Bradwell; Qianqian Song; Benjamin Bates; Yu R. Shao; Jing Su 003; Alfred Anzalone; Timothym Bergquist; Sarah Cutrona; Ben S. Gerber; et al. (AMIA, 2021)

Evaluating Site-Level Implementations of the HL7 FHIR Standard to Support eSource Data Exchange in Clinical Research. - Maryam Y. Garza; Michael W. Rutherford; Bhargav Adagarla; Eric L. Eisenstein; Karan R. Kumar; Kanecia O. Zimmerman; Umit Topaloglu; Meredith N. Zozus (MIE, 2021)

Federated Learning in Healthcare is the Future, But the Problems Are Contemporary. - Mustafa Y. Topaloglu; Elisabeth M. Morrell; Umit Topaloglu (WEBIST, 2021)

In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare. - Mustafa Y. Topaloglu; Elisabeth M. Morrell; Suraj Rajendran; Umit Topaloglu (Frontiers Artif. Intell., 2021)

VOC-alarm: mutation-based prediction of SARS-CoV-2 variants of concern. - Hongyu Zhao; Kun Han; Chao Gao; Vithal Madhira; Umit Topaloglu; Yong Lu; Guangxu Jin (Bioinform., 2022)

A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images. - Qing Lyu 003; Sanjeev V. Namjoshi; Emory McTyre; Umit Topaloglu; Richard Barcus; Michael D. Chan; Christina K. Cramer; Waldemar Debinski; Metin N. Gurcan; Glenn J. Lesser; Hui-Kuan Lin; Reginald F. Munden; et al. (Patterns, 2022)

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). - Sijia Liu 002; Andrew Wen; Liwei Wang 010; Huan He; Sunyang Fu; Robert T. Miller; Andrew E. Williams; Daniel R. Harris; Ramakanth Kavuluru; Mei Liu; Noor Abu-El-Rub; Dalton Schutte; et al. (J. Am. Medical Informatics Assoc., 2023)

Adapting the open-source Gen3 platform and kubernetes for the NIH HEAL IMPOWR and MIRHIQL clinical trial data commons: Customization, cloud transition, and optimization. - Meredith C. B. Adams; Colin Griffin; Hunter Adams; Stephen Bryant; Robert W. Hurley; Umit Topaloglu (J. Biomed. Informatics, 2024)

Improving Equity in Deep Learning Medical Applications with the Gerchberg-Saxton Algorithm. - Seha Ay; Michael Cardei; Anne-Marie Meyer; Wei Zhang; Umit Topaloglu (J. Heal. Informatics Res., 2024)

National COVID Cohort Collaborative data enhancements: a path for expanding common data models. - Kellie M. Walters; Marshall Clark; Sofia Dard; Stephanie S. Hong; Elizabeth Kelly; Kristin Kostka; Adam M. Lee; Robert T. Miller; Michele Morris; Matvey B. Palchuk; Emily R. Pfaff; Adam B. Wilcox; et al. (J. Am. Medical Informatics Assoc., 2025)