| 2023 | CBMS | Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning. | Arun Sivakumar, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob Furst, Daniela Stan 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 | Autorevise: annotation refinement using motion signal patterns. | Jennifer Piane, Yiyang Wang, Xufan Ma, Jacob Furst, Daniela Stan 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 | CBMS | Assessment of Medical Reports Uncertainty through Topic Modeling and Machine Learning. | Mengyuan Shang, Jacob Furst, Daniela Stan Raicu |
| 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 |
| 2019 | BIBE | Hand-Eye Coordination: Automating the Annotation of Physician-Patient Interactions. | Daniel Gutstein, Enid Montague, Jacob Furst, Daniela Raicu |
| 2019 | IC3K | Multimodal Ranked Search over Integrated Repository of Radiology Data Sources. | Priya Deshpande, Alexander Rasin, Fang Cao, Sriram Yarlagadda, Eli T. Brown, Jacob Furst, Daniela Stan 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 |
| 2015 | ICDM | Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium. | Brendan Kennedy, Miguel Carrazza, Alex Rasin, Jacob Furst, Daniela Stan Raicu |
| 2014 | ICDM | Towards Achieving Diagnostic Consensus in Medical Image Interpretation. | Mike Seidel, Alexander Rasin, Jacob Furst, Daniela Stan Raicu |
| 2014 | ICMLA | Machine-Sourced Segmentations vs. Expert-Sourced Segmentations for the Classification of Lung Nodules with Outlier Removal. | Mayra Alejandra Molina Puentes, Jacob Furst, Daniela Stan Raicu |
| 2013 | ICMLA | Weak Segmentations and Ensemble Learning to Predict Semantic Ratings of Lung Nodules. | Ethan Smith, Patrick Stein, Jacob Furst, Daniela Stan Raicu |
| 2012 | ICIP | Expanding diagnostically labeled datasets using content-based image retrieval. | Anne-Marie Giuca, Kerry A. Seitz, Jacob Furst, Daniela Stan Raicu |
| 2011 | ICMLA | Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation. | Dmitry Zinovev, Jacob Furst, Daniela Stan Raicu |
| 2009 | MICCAI | Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms. | Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu |
| 2007 | ICDM | Predictive Data Mining for Lung Nodule Interpretation. | William H. Horsthemke, Ekarin Varutbangkul, Daniela Stan Raicu, Jacob Furst |
| 2006 | ICDM | Automatic Single-Organ Segmentation in Computed Tomography Images. | Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob Furst, David S. Channin |
| 2005 | CBMS | Texture-Based Image Retrieval for Computerized Tomography Databases. | Winnie Tsang, Andrew Corboy, Ken Lee, Daniela Stan Raicu, Jacob Furst |