Daniela Stan Raicu

69 papers A* 1A 2B 13C 2Misc 3Journal 16Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Leveraging Hidden Patterns in Open-Ended Community Health Workers' Notes to Improve Prediction of Patient Readmission. eScience Naveen Kumar Reddy Veeramreddy, Ankita Mishra, Navika Maglani, Sameer Shaik, Kelly McCabe, Jacob Furst, Daniela Stan Raicu, Roselyne Tchoua, Jamshid Sourati
2023	B	`conf`	Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning. CBMS Arun Sivakumar, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob Furst, Daniela Stan Raicu
2023	—	`conf`	Iterative K-means clustering for disease subtype discovery. Computer-Aided Diagnosis Katherine Aubert, Catherine Huber, Jacob Furst, Daniela Stan Raicu, Roselyne Tchoua
2023	—	`conf`	Leveraging Interpretable Features and Clustering Agreements for Assistive Materials Discovery. TransAI Maria Alexandra Theodorescu, Jacob D. Furst, Daniela Stan Raicu, Roselyne Tchoua
2023	Misc	`conf`	Multiclass Classification of Software Vulnerabilities with Deep Learning. ICMLC Crystal Contreras, Hristina Dokic, Zhen Huang, Daniela Stan Raicu, Jacob Furst, Roselyne Tchoua
2022	Misc	`conf`	Autorevise: annotation refinement using motion signal patterns. SAC Jennifer Piane, Yiyang Wang, Xufan Ma, Jacob Furst, Daniela Stan Raicu
2022	—	`conf`	Similarity-based uncertainty scores for computer-aided diagnosis. Computer-Aided Diagnosis Claire Weissman, Lilly Roelofs, Jacob Furst, Daniela Stan Raicu, Roselyne Tchoua
2021	C	`ed.`	20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021 ICMLA M. Arif Wani, Ishwar K. Sethi, Weisong Shi, Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin
2020	B	`conf`	Assessment of Medical Reports Uncertainty through Topic Modeling and Machine Learning. CBMS Mengyuan Shang, Jacob Furst, Daniela Stan Raicu
2020	—	`conf`	CNN as a feature extractor in gaze recognition. AICCC Arun Gopal Govindaswamy, Enid Montague, Daniela Stan Raicu, Jacob Furst
2020	J	`jnl`	Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration. J. Digit. Imaging Priya Deshpande, Alexander Rasin, Jun Son, Sungmin Kim, Eli T. Brown, Jacob Furst, Daniela Stan Raicu, Steven M. Montner, Samuel G. Armato
2019	—	`conf`	Multimodal Ranked Search over Integrated Repository of Radiology Data Sources. KDIR Priya Deshpande, Alexander Rasin, Fang Cao, Sriram Yarlagadda, Eli T. Brown, Jacob Furst, Daniela Stan Raicu
2018	—	`conf`	An evaluation of consensus techniques for diagnostic interpretation. Computer-Aided Diagnosis Jake N. Sauter, Victoria M. LaBarre, Jacob D. Furst, Daniela Stan Raicu
2018	J	`jnl`	Augmenting Medical Decision Making With Text-Based Search of Teaching File Repositories and Medical Ontologies: Text-Based Search of Radiology Teaching Files. Int. J. Knowl. Discov. Bioinform. Priya Deshpande, Alexander Rasin, Eli T. Brown, Jacob Furst, Steven M. Montner, Samuel G. Armato III, Daniela Stan Raicu
2018	J	`jnl`	Automatic extraction of informal topics from online suicidal ideation. BMC Bioinform. Reilly Grant, David Kucher, Ana M. Leon, Jonathan Gemmell, Daniela Stan Raicu, Samah J. Fodeh
2018	—	`conf`	Lung nodule detection from CT scans using 3D convolutional neural networks without candidate selection. Computer-Aided Diagnosis Natalia M. Jenuwine, Sunny N. Mahesh, Jacob D. Furst, Daniela Stan Raicu
2018	J	`jnl`	Synthetic Sampling for Multi-Class Malignancy Prediction. CoRR Matthew Yung, Eli T. Brown, Alexander Rasin, Jacob D. Furst, Daniela Stan Raicu
2017	—	`conf`	Building confidence and credibility into CAD with belief decision trees. Computer-Aided Diagnosis Rachael N. Affenit, Erik R. Barns, Jacob D. Furst, Alexander Rasin, Daniela Stan Raicu
2017	—	`ed.`	Proceedings of the 1st ACM Workshop on Medical Informatics and Healthcare, MIH 2017, Halifax, Nova Scotia, Canada, August 14, 2017 MIH@KDD Samah J. Fodeh, Daniela Stan Raicu
2016	—	`conf`	Recommender System to Support Brokering of Youth Learning Opportunities. WI Workshops Taha Hamid, Denise C. Nacu, Taihua Li, Jonathan Gemmell, Daniela Stan Raicu, Caitlin Kennedy Martin, Michael Schutzenhofer, Nichole Pinkard
2015	—	`conf`	Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium. ICDM Workshops Brendan Kennedy, Miguel Carrazza, Alex Rasin, Jacob Furst, Daniela Stan Raicu
2015	J	`jnl`	Assessing diagnostic complexity: An image feature-based strategy to reduce annotation costs. Comput. Biol. Medicine Jose R. Zamacona, Ronald Niehaus, Alexander Rasin, Jacob D. Furst, Daniela Stan Raicu
2015	B	`conf`	Identifying the optimal segmentors for mass classification in mammograms. Image Processing Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu
2015	J	`jnl`	Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis. J. Digit. Imaging Ronald Niehaus, Daniela Stan Raicu, Jacob Furst, Samuel G. Armato III
2014	C	`conf`	Machine-Sourced Segmentations vs. Expert-Sourced Segmentations for the Classification of Lung Nodules with Outlier Removal. ICMLA Mayra Alejandra Molina Puentes, Jacob Furst, Daniela Stan Raicu
2014	—	`conf`	Towards Achieving Diagnostic Consensus in Medical Image Interpretation. ICDM Workshops Mike Seidel, Alexander Rasin, Jacob Furst, Daniela Stan Raicu
2013	—	`conf`	Area under the Distance Threshold Curve as an Evaluation Measure for Probabilistic Classifiers. MLDM Sydney Williams, Michael Harris, Jacob Furst, Daniela Stan Raicu
2013	—	`conf`	Reducing Classification Cost through Strategic Annotation Assignment. ICDM Workshops Jose R. Zamacona, Alexander Rasin, Jacob D. Furst, Daniela Stan Raicu
2013	—	`conf`	Weak Segmentations and Ensemble Learning to Predict Semantic Ratings of Lung Nodules. ICMLA (2) Ethan Smith, Patrick Stein, Jacob Furst, Daniela Stan Raicu
2012	J	`jnl`	Building an ensemble system for diagnosing masses in mammograms. Int. J. Comput. Assist. Radiol. Surg. Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu
2012	J	`jnl`	Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database. J. Digit. Imaging Dmitry Zinovev, Yujie Duo, Daniela Stan Raicu, Jacob Furst, Samuel G. Armato III
2012	B	`conf`	Expanding diagnostically labeled datasets using content-based image retrieval. ICIP Anne-Marie Giuca, Kerry A. Seitz, Jacob Furst, Daniela Stan Raicu
2011	—	`conf`	A Texture-Based Probabilistic Approach for Lung Nodule Segmentation. ICIAR (2) Olga Zinoveva, Dmitry Zinovev, Stephen A. Siena, Daniela Stan Raicu, Jacob Furst, Samuel G. Armato III
2011	—	`conf`	Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation. ICMLA (2) Dmitry Zinovev, Jacob Furst, Daniela Stan Raicu
2011	B	`conf`	Building multiple weak segmentors for strong mass segmentation in mammogram. Image Processing Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu
2011	J	`jnl`	Mapping LIDC, RadLex™, and Lung Nodule Image Features. J. Digit. Imaging Pia Opulencia, David S. Channin, Daniela Stan Raicu, Jacob D. Furst
2011	A	`conf`	Top issues in providing successful undergraduate research experiences. SIGCSE Hans-Peter Bischof, Jacob D. Furst, Daniela Stan Raicu, Susan Darling Urban
2010	—	`conf`	A model for the relationship between semantic and content based similarity using LIDC. Computer-Aided Diagnosis Grace M. Dasovich, Robert Kim, Daniela Stan Raicu, Jacob D. Furst
2010	—	`conf`	An Application of Clustering Techniques to Urban Studies. DMIN Zahra Ferdowsi, Raffaella Settimi, Daniela Stan Raicu
2010	—	`conf`	An investigation into the relationship between semantic and content based similarity using LIDC. Multimedia Information Retrieval Robert Kim, Grace Dasovich, Runa Bhaumik, Richard Brock, Jacob D. Furst, Daniela Stan Raicu
2010	B	`conf`	Image enhancement and edge-based mass segmentation in mammogram. Image Processing Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu
2010	—	`conf`	Predicting LIDC diagnostic characteristics by combining spatial and diagnostic opinions. Computer-Aided Diagnosis William H. Horsthemke, Daniela Stan Raicu, Jacob D. Furst
2009	B	`conf`	A statistical analysis of the effects of CT acquisition parameters on low-level features extracted from CT images of the lung. ICIP Joseph S. Wantroba, Daniela Stan Raicu, Jacob D. Furst
2009	—	`conf`	Characterizing pulmonary nodule shape using a boundary-region approach. Computer-Aided Diagnosis William H. Horsthemke, Daniela Stan Raicu, Jacob D. Furst
2009	J	`jnl`	Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. IEEE Trans. Medical Imaging Tobias Heimann, Bram van Ginneken, Martin Styner, Yulia Arzhaeva, Volker Aurich, Christian Bauer, Andreas Beck, Christoph Becker, Reinhard Beichel, György Bekes, Fernando Bello, Gerd Karl Binnig, Horst Bischof, Alexander Bornik, Peter Cashman, Ying Chi, Andrés Cordova, Benoit M. Dawant, Márta Fidrich, Jacob D. Furst, Daisuke Furukawa, Lars Grenacher, Joachim Hornegger, Dagmar Kainmüller, Richard Kitney, Hidefumi Kobatake, Hans Lamecker, Thomas Lange, Jeongjin Lee, Brian Lennon, Rui Li, Senhu Li, Hans-Peter Meinzer, Gábor Németh, Daniela Stan Raicu, Anne-Mareike Rau, Eva M. van Rikxoort, Mikaël Rousson, László Ruskó, Kinda Anna Saddi, Günter Schmidt, Dieter Seghers, Akinobu Shimizu, Pieter Slagmolen, Erich Sorantin, Grzegorz Soza, Ruchaneewan Susomboon, Jonathan M. Waite, Andreas Wimmer, Ivo Wolf
2009	A	`conf`	Enhancing undergraduate education: a REU model for interdisciplinary research. SIGCSE Daniela Stan Raicu, Jacob David Furst
2009	J	`jnl`	Evaluation Challenges for Bridging Semantic Gap: Shape Disagreements on Pulmonary Nodules in the Lung Image Database Consortium. Int. J. Heal. Inf. Syst. Informatics William H. Horsthemke, Daniela Stan Raicu, Jacob D. Furst
2009	J	`jnl`	Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers. Algorithms Dmitry Zinovev, Daniela Stan Raicu, Jacob Furst, Samuel G. Armato III
2009	J	`jnl`	Semi-supervised learning approaches for predicting semantic characteristics of lung nodules. Intell. Decis. Technol. Dmitry Zinovev, Ekarin Varutbangkul, Daniela Stan Raicu, Jacob D. Furst, Samuel G. Armato III
2009	—	`conf`	Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms. MCBR-CDS Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu
2008	—	`conf`	Combining Boundaries and Ratings from Multiple Observers for Predicting Lung Nodule Characteristics. BIOTECHNO Ekarin Varutbangkul, Vesna Mitrovic, Daniela Stan Raicu, Jacob Furst
2008	—	`conf`	Directional Invariance of Co-occurrence Matrices within the Liver. BIOTECHNO Carl Philips, Daniel Li, Daniela Stan Raicu, Jacob Furst
2008	—	`ed.`	International Conference on Biocomputation, Bioinformatics, and Biomedical Technologies, BIOTECHNO 2008, June 29 - July 5, 2008, Bucharest, Romania BIOTECHNO Rita Casadio, Ovidiu Daescu, Cosmin Dini, Daniela Stan Raicu
2008	B	`conf`	Liver segmentation combining Gabor filtering and traditional vector field snake. Image Processing Aaron M. Mintz, Daniela Stan Raicu, Jacob D. Furst
2008	J	`jnl`	REUs: undergraduate research experiences and funding. J. Comput. Sci. Coll. Joan Peckham, Fatma Mili, Daniela Stan Raicu, Ingrid Russell
2007	—	`conf`	Automated image analysis of noisy microarrays. VISAPP (1) Sharon I. Greenblum, Max Krucoff, Jacob Furst, Daniela Stan Raicu
2007	J	`jnl`	Oligonucleotide microarray identification of Bioinform. Michael V. Doran, Daniela Stan Raicu, Jacob D. Furst, Raffaella Settimi, Matthew Schipma, Darrell P. Chandler
2007	B	`conf`	Organ analysis and classification using principal component and linear discriminant analysis. Image Processing William H. Horsthemke, Daniela Stan Raicu
2007	—	`conf`	Predictive Data Mining for Lung Nodule Interpretation. ICDM Workshops William H. Horsthemke, Ekarin Varutbangkul, Daniela Stan Raicu, Jacob Furst
2007	B	`conf`	Semantics and image content integration for pulmonary nodule interpretation in thoracic computed tomography. Image Processing Daniela Stan Raicu, Ekarin Varutbangkul, Janie G. Cisneros, Jacob Furst, David S. Channin, Samuel G. Armato
2006	—	`conf`	A prioritized and adaptive approach to volumetric seeded region growing using texture descriptors. Computational Imaging Nathan J. Backman, Brian W. Whitney, Jacob D. Furst, Daniela Stan Raicu
2006	A*	`conf`	Automatic Single-Organ Segmentation in Computed Tomography Images. ICDM Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob Furst, David S. Channin
2006	B	`conf`	Contrast enhancement of soft tissues in computed tomography images. Image Processing Roman Lerman, Daniela Stan Raicu, Jacob D. Furst
2006	—	`conf`	Single Organ Segmentation Filters for Multiple Organ Segmentation. EMBC Jacob D. Furst, Ruchaneewan Susomboon, Daniela Stan Raicu
2006	B	`conf`	Single click volumetric segmentation of abdominal organs in computed tomography images. Image Processing Brian W. Whitney, Nathan J. Backman, Jacob D. Furst, Daniela Stan Raicu
2006	J	`jnl`	Synobins: An Intermediate Level towards Annotation and Semantic Retrieval. EURASIP J. Adv. Signal Process. Daniela Stan Raicu, Ishwar K. Sethi
2005	—	`conf`	A classification approach for anatomical regions segmentation. ICIP (2) Mikhail Kalinin, Daniela Stan Raicu, Jacob D. Furst, David S. Channin
2005	B	`conf`	Texture-Based Image Retrieval for Computerized Tomography Databases. CBMS Winnie Tsang, Andrew Corboy, Ken Lee, Daniela Stan Raicu, Jacob Furst
2003	Misc	`conf`	A Data Mining Framework for Target Marketing. CATA Daniela Stan Raicu