Daniela Raicu - RankMe

60 papers A 1B 10C 5Misc 3Journal 7Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Boosting 30-Day Emergency Department Readmission Predictions with BERT-Powered Community Health Worker Notes. BIOSTEC (4) Ankita Mishra, Charmi Patel, Naveen Kumar Reddy Veeramreddy, Yiyang Wang, John Mazzeo, Jamshid Sourati, Kelly McCabe, Roselyne Tchoua, Jacob Furst, Daniela Raicu
2025	B	`conf`	Enhancing Pulmonary Nodule Localization Based on Latent Representations. CBMS Charmi Patel, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob D. Furst, Daniela Raicu
2025	—	`conf`	Novel Perspective on Ensemble Clustering for Persistent Cluster Patterns: A Case Study in Disease Cluster Discovery. eScience Fernanda Cabral, Maria Alexandra Hubbard, Rudhvish Patel, Adeola Badmos, Daniela Raicu, Raj Shah, Roselyne Tchoua
2025	A	`conf`	Video Label Refinement for Temporal Localization. ICME Jennifer Piane, Thiruvarangan Ramaraj, Jacob D. Furst, Daniela Raicu
2024	J	`jnl`	Biomedical heterogeneous data categorization and schema mapping toward data integration. Frontiers Big Data Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob D. Furst, Daniela Raicu, Michiel Schinkel, Hari Trivedi, Sameer K. Antani
2024	J	`jnl`	Leveraging Community Health Workers for Predicting Emergency Department Readmissions. Int. J. Semantic Comput. Nuvia Hernandez, Kate Karam, Nicole Baugh, Shilpa Musale, Aditya Patrick Moses, Daniela Raicu, Jacob D. Furst, Kelly McCabe, Roselyne Tchoua
2023	—	`conf`	No nodule left behind: evaluating lung nodule malignancy classification with different stratification schemes. Computer-Aided Diagnosis Thomas Zeng, Elias Furst, Yiyang Wang, Roselyne Tchoua, Jacob D. Furst, Daniela Raicu
2022	J	`jnl`	CompNet: A Designated Model to Handle Combinations of Images and Designed features. CoRR Bowen Qiu, Daniela Raicu, Jacob Furst, Roselyne Tchoua
2022	—	`conf`	Contextualizing Lung Nodule Malignancy Predictions with Easy vs. Hard Image Classification. TransAI Edward Xu, Thiruvarangan Ramaraj, Roselyne Tchoua, Jacob Furst, Daniela Raicu
2022	—	`conf`	Explainable Model for Localization of Spiculation in Lung Nodules. ECCV Workshops (7) Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu
2022	—	`conf`	Human-in-the-loop deep learning retinal image classification with customized loss function. Computer-Aided Diagnosis Suhev Shakya, Mariana Vasquez, Yiyang Wang, Roselyne Tchoua, Jacob Furst, Daniela Raicu
2022	B	`conf`	Interactive deep learning for explainable retinal disease classification. Image Processing Mariana Vasquez, Suhev Shakya, Ian Wang, Jacob Furst, Roselyne Tchoua, Daniela Raicu
2022	B	`conf`	Lung Nodule Malignancy Subtype Discovery with Semantic Learning. ICPR Yiyang Wang, Bowen Qiu, Thiruvarangan Ramaraj, Ilyas Ustun, Jacob Furst, Daniela Raicu
2022	C	`conf`	Predicting ME/CFS After Infectious Mononucleosis Using Cytokine Network Correlations. ICMLA Jennifer Schwabe, Chelsea Hua, Emma M. Allen, Leonard A. Jason, Jacob Furst, Daniela Raicu
2022	—	`conf`	RSI-Grad-CAM: Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-Based Localization. ISVC (1) Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu
2022	Misc	`conf`	Similarity-based uncertainty scores for interpretable deep learning in scientific applications. SAC Lilly Roelofs, Claire Weissman, Daniela Raicu, Jacob Furst, Roselyne Tchoua
2022	B	`conf`	Text Summarization towards Scientific Information Extraction. e-Science Abigail Keller, Jacob Furst, Daniela Raicu, Peter M. Hastings, Roselyne Tchoua
2022	J	`jnl`	Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization. CoRR Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu
2021	—	`conf`	Approaches to Evaluating Eye Gaze Patterns between Physician-Patient Interaction in Primary Care Clinic. BIBM Amal N. Almansour, Jacob Furst, Daniela Raicu, Enid Montague
2021	B	`conf`	Drusen segmentation with sparse volumetric SD-OCT sampling. Image Processing Abum Okemgbo, David Rein, Yiyang Wang, Amani A. Fawzi, Jacob Furst, Daniela Raicu
2021	—	`conf`	Ensemble Labeling Towards Scientific Information Extraction (ELSIE). ICCS (1) Erin Murphy, Alexander Rasin, Jacob Furst, Daniela Raicu, Roselyne Tchoua
2021	B	`conf`	Ensemble Labeling towards Scientific Information Extraction (ELSIE) - Blob Extraction. e-Science Erin Murphy, Alexander Rasin, Jacob Furst, Daniela Raicu, Roselyne Tchoua
2020	Misc	`conf`	Comparing automatically extracted topics from online suicidal ideation and the responses they invoke. SAC Elise Glaser, Alexander Morain, Jonathan Gemmell, Daniela Raicu
2020	—	`conf`	Detecting age-related macular degeneration (AMD) biomarker images using MFCC and texture features. Computer-Aided Diagnosis Yiyang Wang, Xufan Ma, Rob Weddell, Abum Okemgbo, David Rein, Amani A. Fawzi, Jacob Furst, Daniela Raicu
2020	—	`conf`	Developing Parameters for a Technology to Predict Patient Satisfaction in Naturalistic Clinical Encounters. HCI (18) Tianyi Tan, Enid Montague, Jacob Furst, Daniela Raicu
2020	B	`conf`	Enhancing Recall Using Data Cleaning for Biomedical Big Data. CBMS Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob Furst, Daniela Raicu, Sameer K. Antani
2020	C	`conf`	Explainable Deep Learning for Biomarker Classification of OCT Images. BIBE Yiyang Wang, Mirtha Lucas, Jacob Furst, Amani A. Fawzi, Daniela Raicu
2020	C	`conf`	Heatmap Template Generation for COVID-19 Biomarker Detection in Chest X-rays. BIBE Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu
2020	—	`conf`	Learning Latent Spiculated Features for Lung Nodule Characterization. EMBC Bowen Qiu, Jacob Furst, Alexander Rasin, Roselyne Tchoua, Daniela Raicu
2020	Misc	`conf`	Predicting physician gaze in clinical settings using optical flow and positioning. IVCNZ Arun G. Govindaswamy, Enid Montague, Daniela Raicu, Jacob Furst
2020	C	`conf`	Robust Physician Gaze Prediction Using a Deep Learning Approach. BIBE Tianyi Tan, Enid Montague, Jacob Furst, Daniela Raicu
2019	—	`conf`	Augmenting Frame-based with Window-based Features for C. elegans Movement Classification. BHI Jennifer Piane, Yiyang Wang, Timothy Cheung, Hongkyun Kim, Jacob Furst, Daniela Raicu
2019	—	`conf`	Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection. Computer-Aided Diagnosis Chufan Gao, Stephen Clark, Jacob Furst, Daniela Raicu
2019	J	`jnl`	Data Science Summer Academy for Chicago Public School Students. SIGKDD Explor. Bamshad Mobasher, Lucia Dettori, Daniela Raicu, Raffaella Settimi, Nasim Sonboli, Monica Stettler
2019	J	`jnl`	DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles. Data Priya Deshpande, Alexander Rasin, Jacob Furst, Daniela Raicu, Sameer K. Antani
2019	—	`conf`	Efficient learning in computer-aided diagnosis through label propagation. Computer-Aided Diagnosis Samuel Berglin, Eura Shin, Jacob Furst, Daniela Raicu
2019	—	`conf`	Expanding annotated data with informed labels for weak supervision. MLDM (2) Eura Shin, Samuel Berglin, Jacob Furst, Daniela Raicu
2019	C	`conf`	Hand-Eye Coordination: Automating the Annotation of Physician-Patient Interactions. BIBE Daniel Gutstein, Enid Montague, Jacob Furst, Daniela Raicu
2019	—	`conf`	Identifying Diagnostically Complex Cases Through Ensemble Learning. ICIAR (2) Yan Yu, Yiyang Wang, Jacob Furst, Daniela Raicu
2019	—	`conf`	Optical Flow, Positioning, and Eye Coordination: Automating the Annotation of Physician-Patient Interactions. BIBM Daniel Gutstein, Enid Montague, Jacob Furst, Daniela Raicu
2019	—	`conf`	Using Machine Learning Algorithms to Detect Suicide Risk Factors on Twitter. ICDM Workshops Samah J. Fodeh, Taihua Li, Kevin Menczynski, Tedd Burgette, Andrew Harris, Georgeta Ilita, Satyan Rao, Jonathan Gemmell, Daniela Raicu
2018	—	`conf`	Detecting and Characterizing Trends in Online Mental Health Discussions. ICDM Workshops Dante Chakravorti, Kathleen Law, Jonathan Gemmell, Daniela Raicu
2017	—	`conf`	An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files. MIH@KDD Priya Deshpande, Alexander Rasin, Eli T. Brown, Jacob Furst, Daniela Raicu, Steven M. Montner, Samuel G. Armato III
2017	—	`conf`	Discovery of Informal Topics from Post Traumatic Stress Disorder Forums. ICDM Workshops Reilly Grant, David Kucher, Ana M. Leon, Jonathan Gemmell, Daniela Raicu
2017	—	`conf`	Revealing Interaction Patterns Among Youth in an Online Social Learning Network Using Markov Chain Principles. CSCL Sarah Bishara, Jennifer Baltes, Taha Hamid, Taihua Li, Denise C. Nacu, Caitlin Kennedy Martin, Jonathan Gemmell, Chris MacArthur, Daniela Raicu, Nichole Pinkard
2016	J	`jnl`	A Run-Length Encoding Approach for Path Analysis of Comput. Math. Methods Medicine Huang Li, Hongkyun Kim, Jacob Furst, Daniela Raicu
2016	—	`conf`	C. elegans search behavior analysis using Multivariate Dynamic Time Warping. BIBM Yiyang Wang, Carleton Smith, Mingfei Shao, Li Huang, Jacob Furst, Daniela Raicu, Hongkyun Kim
2016	—	`conf`	Compression-based distance methods as an alternative to statistical methods for constructing phylogenetic trees. BIBM Mohamed El-Dirany, Forrest Wang, Jacob Furst, John Rogers, Daniela Raicu
2016	—	`conf`	Investigating the effects of majority voting on CAD systems: a LIDC case study. Computer-Aided Diagnosis Miguel Carrazza, Brendan Kennedy, Alexander Rasin, Jacob Furst, Daniela Raicu
2015	—	`conf`	An outlier filtering approach for machine sourced weak segmentations. Computer-Aided Diagnosis Elza Margolin, Jacob Furst, Daniela Raicu
2015	—	`conf`	Reducing annotation cost and uncertainty in computer-aided diagnosis through selective iterative classification. Computer-Aided Diagnosis Amelia Riely, Kyle Sablan, Thomas Xiaotao, Jacob Furst, Daniela Raicu
2013	—	`conf`	Training industrial robots with gesture recognition techniques. Intelligent Robots and Computer Vision: Algorithms and Techniques Jennifer Piane, Daniela Raicu, Jacob Furst
2012	—	`conf`	Learning lung nodule similarity using a genetic algorithm. Computer-Aided Diagnosis Kerry A. Seitz, Anne-Marie Giuca, Jacob Furst, Daniela Raicu
2011	—	`conf`	A context-aware approach to content-based image retrieval of lung nodules. Computer-Aided Diagnosis Jacob V. Gardner, Daniela Raicu, Jacob Furst
2011	—	`conf`	Probabilistic lung nodule classification with belief decision trees. EMBC Dmitry Zinovev, Jonathan Feigenbaum, Jacob Furst, Daniela Raicu
2010	—	`conf`	A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC. Computer-Aided Diagnosis Stephen A. Siena, Olga Zinoveva, Daniela Raicu, Jacob Furst, Samuel G. Armato
2009	—	`conf`	Effect of Image Linearization on Normalized Compression Distance. FGIT-SIP Jonathan Mortensen, Jia Jie Wu, Jacob Furst, John Rogers, Daniela Raicu
2008	B	`conf`	A co-occurrence texture semi-invariance to direction, distance, and patient size. Image Processing Ruchaneewan Susomboon, Daniela Raicu, Jacob Furst, Timothy Ben Johnson
2007	B	`conf`	A comparison of texture models for automatic liver segmentation. Image Processing Mailan Pham, Ruchaneewan Susomboon, Tim Disney, Daniela Raicu, Jacob Furst
2006	B	`conf`	Evaluation of binning strategies for tissue classification in computed tomography images. Image Processing Stefanie Handrick, Bahare Naimipour, Daniela Raicu, Jacob Furst