Leaf: an open-source, model-agnostic, data-driven web application for cohort discovery and translational biomedical research. - Nicholas J. Dobbins; Clifford H. Spital; Robert A. Black; Jason M. Morrison; Bas de Veer; Elizabeth Zampino; Robert D. Harrington; Bethene D. Britt; Kari A. Stephens; Adam B. Wilcox; Peter Tarczy-Hornoch; Sean D. Mooney (J. Am. Medical Informatics Assoc., 2020)

Extracting Patient-level Social Determinants of Health into the OMOP Common Data Model. - Jimmy Phuong; Elizabeth Zampino; Nicholas J. Dobbins; Juan Espinoza; Daniella Meeker; Heidi Spratt; Charisse R. Madlock-Brown; Nicole Gray Weiskopf; Adam B. Wilcox (AMIA, 2021)

Transferability of Neural Network-based De-identification Systems. - Kahyun Lee; Nicholas J. Dobbins; Bridget T. McInnes; Meliha Yetisgen; Özlem Uzuner (CoRR, 2021)

Performance of Automatic De-identification Across Different Note Types. - Nicholas J. Dobbins; David Wayne; Kahyun Lee; Özlem Uzuner; Meliha Yetisgen (CoRR, 2021)

Transferability of neural network clinical deidentification systems. - Kahyun Lee; Nicholas J. Dobbins; Bridget T. McInnes; Meliha Yetisgen; Özlem Uzuner (J. Am. Medical Informatics Assoc., 2021)

The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models. - Yao Yan; Thomas Yu; Kathleen Muenzen; Sijia Liu 002; Connor Boyle; George Koslowski; Jiaxin Zheng; Nicholas J. Dobbins; Clement Essien; Hongfang Liu; Larsson Omberg; Meliha Yestigen; et al. (CoRR, 2022)

The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteria. - Nicholas J. Dobbins; Tony Mullen; Özlem Uzuner; Meliha Yetisgen (CoRR, 2022)

Leveraging Natural Language Processing to Augment Structured Social Determinants of Health Data in the Electronic Health Record. - Kevin Lybarger; Nicholas J. Dobbins; Ritche Long; Angad P. Singh; Patrick Wedgeworth; Özlem Ozuner; Meliha Yetisgen (CoRR, 2022)

Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning. - Giridhar Kaushik Ramachandran; Yujuan Fu; Bin Han; Kevin Lybarger; Nicholas J. Dobbins; Özlem Uzuner; Meliha Yetisgen (ClinicalNLP@ACL, 2023)

Leveraging natural language processing to augment structured social determinants of health data in the electronic health record. - Kevin Lybarger; Nicholas J. Dobbins; Ritche Long; Angad P. Singh; Patrick Wedgeworth; Özlem Uzuner; Meliha Yetisgen (J. Am. Medical Informatics Assoc., 2023)

LeafAI: query generator for clinical cohort discovery rivaling a human programmer. - Nicholas J. Dobbins; Bin Han; Weipeng Zhou; Kristine Lan; H. Nina Kim; Robert D. Harrington; Özlem Uzuner; Meliha Yetisgen (J. Am. Medical Informatics Assoc., 2023)

Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods. - Yujuan Fu; Giridhar Kaushik Ramachandran; Nicholas J. Dobbins; Namu Park; Michael Leu; Abby R. Rosenberg; Kevin Lybarger; Fei Xia 004; Özlem Uzuner; Meliha Yetisgen (LREC/COLING, 2024)

Generalizable and Scalable Multistage Biomedical Concept Normalization Leveraging Large Language Models. - Nicholas J. Dobbins (CoRR, 2024)

Towards cross-application model-agnostic federated cohort discovery. - Nicholas J. Dobbins; Michele Morris; Eugene Sadhu; Douglas MacFadden; Marc-Danie Nazaire; William Simons; Griffin M. Weber; Shawn N. Murphy; Shyam Visweswaran (J. Am. Medical Informatics Assoc., 2024)

Automated Survey Collection with LLM-based Conversational Agents. - Kurmanbek Kaiyrbekov; Nicholas J. Dobbins; Sean D. Mooney (CoRR, 2025)

Large Language Model-Based Agents for Automated Research Reproducibility: An Exploratory Study in Alzheimer's Disease. - Nicholas J. Dobbins; Christelle Xiong; Kristine Lan; Meliha Yetisgen (CoRR, 2025)