| 2025 | CBMS | Enhancing Pulmonary Nodule Localization Based on Latent Representations. | Charmi Patel, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob D. Furst, Daniela Raicu |
| 2022 | ECCV | Explainable Model for Localization of Spiculation in Lung Nodules. | Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu |
| 2022 | ICMLA | Predicting ME/CFS After Infectious Mononucleosis Using Cytokine Network Correlations. | Jennifer Schwabe, Chelsea Hua, Emma M. Allen, Leonard A. Jason, Jacob Furst, Daniela Raicu |
| 2022 | ICPR | Lung Nodule Malignancy Subtype Discovery with Semantic Learning. | Yiyang Wang, Bowen Qiu, Thiruvarangan Ramaraj, Ilyas Ustun, Jacob Furst, Daniela Raicu |
| 2022 | ISVC | RSI-Grad-CAM: Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-Based Localization. | Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu |
| 2022 | SAC | Similarity-based uncertainty scores for interpretable deep learning in scientific applications. | Lilly Roelofs, Claire Weissman, Daniela Raicu, Jacob Furst, Roselyne Tchoua |
| 2021 | ICCS | Ensemble Labeling Towards Scientific Information Extraction (ELSIE). | Erin Murphy, Alexander Rasin, Jacob Furst, Daniela Raicu, Roselyne Tchoua |
| 2020 | BIBE | Heatmap Template Generation for COVID-19 Biomarker Detection in Chest X-rays. | Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu |
| 2020 | BIBE | Robust Physician Gaze Prediction Using a Deep Learning Approach. | Tianyi Tan, Enid Montague, Jacob Furst, Daniela Raicu |
| 2020 | BIBE | Explainable Deep Learning for Biomarker Classification of OCT Images. | Yiyang Wang, Mirtha Lucas, Jacob Furst, Amani A. Fawzi, Daniela Raicu |
| 2020 | CBMS | Enhancing Recall Using Data Cleaning for Biomedical Big Data. | Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob Furst, Daniela Raicu, Sameer K. Antani |
| 2020 | HCI | Developing Parameters for a Technology to Predict Patient Satisfaction in Naturalistic Clinical Encounters. | Tianyi Tan, Enid Montague, Jacob Furst, Daniela Raicu |
| 2020 | IVCNZ | Predicting physician gaze in clinical settings using optical flow and positioning. | Arun G. Govindaswamy, Enid Montague, Daniela Raicu, Jacob Furst |
| 2020 | SAC | Comparing automatically extracted topics from online suicidal ideation and the responses they invoke. | Elise Glaser, Alexander Morain, Jonathan Gemmell, Daniela Raicu |
| 2019 | BIBE | Hand-Eye Coordination: Automating the Annotation of Physician-Patient Interactions. | Daniel Gutstein, Enid Montague, Jacob Furst, Daniela Raicu |
| 2019 | ICDM | Using Machine Learning Algorithms to Detect Suicide Risk Factors on Twitter. | Samah J. Fodeh, Taihua Li, Kevin Menczynski, Tedd Burgette, Andrew Harris, Georgeta Ilita, Satyan Rao, Jonathan Gemmell, Daniela Raicu |
| 2018 | ICDM | Detecting and Characterizing Trends in Online Mental Health Discussions. | Dante Chakravorti, Kathleen Law, Jonathan Gemmell, Daniela Raicu |
| 2017 | ICDM | Discovery of Informal Topics from Post Traumatic Stress Disorder Forums. | Reilly Grant, David Kucher, Ana M. Leon, Jonathan Gemmell, Daniela Raicu |
| 2017 | KDD | An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files. | Priya Deshpande, Alexander Rasin, Eli T. Brown, Jacob Furst, Daniela Raicu, Steven M. Montner, Samuel G. Armato III |