Daniela Raicu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 43

Top Topics

Information Extraction

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob D. Furst, Daniela Raicu, Michiel Schinkel, Hari Trivedi, Sameer K. Antani
Biomedical heterogeneous data categorization and schema mapping toward data integration. Frontiers Big Data 6 (2024)
Thomas Zeng, Elias Furst, Yiyang Wang, Roselyne Tchoua, Jacob D. Furst, Daniela Raicu
No nodule left behind: evaluating lung nodule malignancy classification with different stratification schemes. Medical Imaging: Computer-Aided Diagnosis (2023)
Mirtha Lucas, Miguel Lerma, Jacob D. Furst, Daniela Raicu
Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization. CoRR (2022)
Bowen Qiu, Daniela Raicu, Jacob Furst, Roselyne Tchoua
CompNet: A Designated Model to Handle Combinations of Images and Designed features. CoRR (2022)
Mariana Vasquez, Suhev Shakya, Ian Wang, Jacob Furst, Roselyne Tchoua, Daniela Raicu
Interactive deep learning for explainable retinal disease classification. Medical Imaging: Image Processing (2022)
Abigail Keller, Jacob Furst, Daniela Raicu, Peter Hastings, Roselyne Tchoua
Text Summarization towards Scientific Information Extraction. e-Science (2022)
Lilly Roelofs, Claire Weissman, Daniela Raicu, Jacob Furst, Roselyne Tchoua
Similarity-based uncertainty scores for interpretable deep learning in scientific applications. SAC (2022)
Suhev Shakya, Mariana Vasquez, Yiyang Wang, Roselyne Tchoua, Jacob Furst, Daniela Raicu
Human-in-the-loop deep learning retinal image classification with customized loss function. Medical Imaging: Computer-Aided Diagnosis (2022)
Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu
Explainable Model for Localization of Spiculation in Lung Nodules. ECCV Workshops (7) (2022)
Edward Xu, Thiruvarangan Ramaraj, Roselyne Tchoua, Jacob Furst, Daniela Raicu
Contextualizing Lung Nodule Malignancy Predictions with Easy vs. Hard Image Classification. TransAI (2022)
Mirtha Lucas, Miguel Lerma, Jacob D. Furst, Daniela Raicu
RSI-Grad-CAM: Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-Based Localization. ISVC (1) (2022)
Yiyang Wang, Bowen Qiu, Thiruvarangan Ramaraj, Ilyas Ustun, Jacob Furst, Daniela Raicu
Lung Nodule Malignancy Subtype Discovery with Semantic Learning. ICPR (2022)
Abum Okemgbo, David Rein, Yiyang Wang, Amani A. Fawzi, Jacob Furst, Daniela Raicu
Drusen segmentation with sparse volumetric SD-OCT sampling. Medical Imaging: Image Processing (2021)
Amal N. Almansour, Jacob D. Furst, Daniela Raicu, Enid Montague
Approaches to Evaluating Eye Gaze Patterns between Physician-Patient Interaction in Primary Care Clinic. BIBM (2021)
Erin Murphy, Alexander Rasin, Jacob D. Furst, Daniela Raicu, Roselyne Tchoua
Ensemble Labeling towards Scientific Information Extraction (ELSIE) - Blob Extraction. e-Science (2021)
Erin Murphy, Alexander Rasin, Jacob D. Furst, Daniela Raicu, Roselyne Tchoua
Ensemble Labeling Towards Scientific Information Extraction (ELSIE). ICCS (1) (2021)
Arun G. Govindaswamy, Enid Montague, Daniela Raicu, Jacob D. Furst
Predicting physician gaze in clinical settings using optical flow and positioning. IVCNZ (2020)
Yiyang Wang, Mirtha Lucas, Jacob D. Furst, Amani A. Fawzi, Daniela Raicu
Explainable Deep Learning for Biomarker Classification of OCT Images. BIBE (2020)
Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob D. Furst, Daniela Raicu, Sameer K. Antani
Enhancing Recall Using Data Cleaning for Biomedical Big Data. CBMS (2020)
Elise Glaser, Alexander Morain, Jonathan Gemmell, Daniela Raicu
Comparing automatically extracted topics from online suicidal ideation and the responses they invoke. SAC (2020)
Tianyi Tan, Enid Montague, Jacob D. Furst, Daniela Raicu
Developing Parameters for a Technology to Predict Patient Satisfaction in Naturalistic Clinical Encounters. HCI (18) (2020)
Mirtha Lucas, Miguel Lerma, Jacob D. Furst, Daniela Raicu
Heatmap Template Generation for COVID-19 Biomarker Detection in Chest X-rays. BIBE (2020)
Yiyang Wang, Xufan Ma, Rob Weddell, Abum Okemgbo, David Rein, Amani A. Fawzi, Jacob Furst, Daniela Raicu
Detecting age-related macular degeneration (AMD) biomarker images using MFCC and texture features. Medical Imaging: Computer-Aided Diagnosis (2020)
Tianyi Tan, Enid Montague, Jacob D. Furst, Daniela Raicu
Robust Physician Gaze Prediction Using a Deep Learning Approach. BIBE (2020)
Bowen Qiu, Jacob D. Furst, Alexander Rasin, Roselyne Tchoua, Daniela Raicu
Learning Latent Spiculated Features for Lung Nodule Characterization. EMBC (2020)
Daniel Gutstein, Enid Montague, Jacob D. Furst, Daniela Raicu
Hand-Eye Coordination: Automating the Annotation of Physician-Patient Interactions. BIBE (2019)
Daniel Gutstein, Enid Montague, Jacob D. Furst, Daniela Raicu
Optical Flow, Positioning, and Eye Coordination: Automating the Annotation of Physician-Patient Interactions. BIBM (2019)
Bamshad Mobasher, Lucia Dettori, Daniela Raicu, Raffaella Settimi, Nasim Sonboli, Monica Stettler
Data Science Summer Academy for Chicago Public School Students. SIGKDD Explor. 21 (1) (2019)
Samuel Berglin, Eura Shin, Jacob D. Furst, Daniela Raicu
Efficient learning in computer-aided diagnosis through label propagation. Medical Imaging: Computer-Aided Diagnosis (2019)
Samah J. Fodeh, Taihua Li, Kevin Menczynski, Tedd Burgette, Andrew Harris, Georgeta Ilita, Satyan Rao, Jonathan Gemmell, Daniela Raicu
Using Machine Learning Algorithms to Detect Suicide Risk Factors on Twitter. ICDM Workshops (2019)
Priya Deshpande, Alexander Rasin, Jacob D. Furst, Daniela Raicu, Sameer K. Antani
DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles. Data 4 (2) (2019)
Eura Shin, Samuel Berglin, Jacob D. Furst, Daniela Raicu
Expanding annotated data with informed labels for weak supervision. MLDM (2) (2019)
Yan Yu, Yiyang Wang, Jacob D. Furst, Daniela Raicu
Identifying Diagnostically Complex Cases Through Ensemble Learning. ICIAR (2) (2019)
Chufan Gao, Stephen Clark, Jacob D. Furst, Daniela Raicu
Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection. Medical Imaging: Computer-Aided Diagnosis (2019)
Jennifer Piane, Yiyang Wang, Timothy Cheung, Hongkyun Kim, Jacob D. Furst, Daniela Raicu
Augmenting Frame-based with Window-based Features for C. elegans Movement Classification. BHI (2019)
Dante Chakravorti, Kathleen Law, Jonathan Gemmell, Daniela Raicu
Detecting and Characterizing Trends in Online Mental Health Discussions. ICDM Workshops (2018)
Priya Deshpande, Alexander Rasin, Eli T. Brown, Jacob D. Furst, Daniela Raicu, Steven M. Montner, Samuel G. Armato III
An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files. MIH@KDD (2017)
Sarah Bishara, Jennifer Baltes, Taha Hamid, Taihua Li, Denise C. Nacu, Caitlin Kennedy Martin, Jonathan Gemmell, Chris MacArthur, Daniela Raicu, Nichole Pinkard
Revealing Interaction Patterns Among Youth in an Online Social Learning Network Using Markov Chain Principles. CSCL (2017)
Reilly Grant, David Kucher, Ana M. Leon, Jonathan Gemmell, Daniela Raicu
Discovery of Informal Topics from Post Traumatic Stress Disorder Forums. ICDM Workshops (2017)
Huang Li, Hongkyun Kim, Jacob D. Furst, Daniela Raicu
Search Behavior. Comput. Math. Methods Medicine 2016 (2016)
Mohamed El-Dirany, Forrest Wang, Jacob D. Furst, John Rogers, Daniela Raicu
Compression-based distance methods as an alternative to statistical methods for constructing phylogenetic trees. BIBM (2016)
Yiyang Wang, Carleton Smith, Mingfei Shao, Li Huang, Jacob D. Furst, Daniela Raicu, Hongkyun Kim
C. elegans search behavior analysis using Multivariate Dynamic Time Warping. BIBM (2016)
Miguel Carrazza, Brendan Kennedy, Alexander Rasin, Jacob D. Furst, Daniela Raicu
Investigating the effects of majority voting on CAD systems: a LIDC case study. Medical Imaging: Computer-Aided Diagnosis (2016)
Amelia Riely, Kyle Sablan, Thomas Xiaotao, Jacob D. Furst, Daniela Raicu
Reducing annotation cost and uncertainty in computer-aided diagnosis through selective iterative classification. Medical Imaging: Computer-Aided Diagnosis (2015)
Elza Margolin, Jacob D. Furst, Daniela Raicu
An outlier filtering approach for machine sourced weak segmentations. Medical Imaging: Computer-Aided Diagnosis (2015)
Jennifer Piane, Daniela Raicu, Jacob Furst
Training industrial robots with gesture recognition techniques. Intelligent Robots and Computer Vision: Algorithms and Techniques (2013)
Kerry A. Seitz, Anne-Marie Giuca, Jacob D. Furst, Daniela Raicu
Learning lung nodule similarity using a genetic algorithm. Medical Imaging: Computer-Aided Diagnosis (2012)
Dmitry Zinovev, Jonathan Feigenbaum, Jacob D. Furst, Daniela Raicu
Probabilistic lung nodule classification with belief decision trees. EMBC (2011)
Jacob V. Gardner, Daniela Raicu, Jacob D. Furst
A context-aware approach to content-based image retrieval of lung nodules. Medical Imaging: Computer-Aided Diagnosis (2011)
Stephen A. Siena, Olga Zinoveva, Daniela Raicu, Jacob D. Furst, Samuel G. Armato
A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC. Medical Imaging: Computer-Aided Diagnosis (2010)
Jonathan Mortensen, Jia Jie Wu, Jacob D. Furst, John Rogers, Daniela Raicu
Effect of Image Linearization on Normalized Compression Distance. FGIT-SIP (2009)
Ruchaneewan Susomboon, Daniela Raicu, Jacob D. Furst, Timothy Ben Johnson
A co-occurrence texture semi-invariance to direction, distance, and patient size. Medical Imaging: Image Processing (2008)
Mailan Pham, Ruchaneewan Susomboon, Tim Disney, Daniela Raicu, Jacob D. Furst
A comparison of texture models for automatic liver segmentation. Medical Imaging: Image Processing (2007)
Stefanie Handrick, Bahare Naimipour, Daniela Raicu, Jacob D. Furst
Evaluation of binning strategies for tissue classification in computed tomography images. Medical Imaging: Image Processing (2006)