Name
Affiliation
Papers
DANIELA STAN RAICU
Depaul Univ, Chicago, IL 60604 USA
70
Collaborators
Citations 
PageRank 
181
469
46.22
Referers 
Referees 
References 
1921
812
357
Search Limit
1001000
Title
Citations
PageRank
Year
Predicting physician gaze in clinical settings using optical flow and positioning00.342020
Learning Latent Spiculated Features For Lung Nodule Characterization00.342020
Enhancing Recall Using Data Cleaning for Biomedical Big Data00.342020
Heatmap Template Generation for COVID-19 Biomarker Detection in Chest X-rays00.342020
Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration.20.452020
Explainable Deep Learning for Biomarker Classification of OCT Images00.342020
Assessment of Medical Reports Uncertainty through Topic Modeling and Machine Learning00.342020
Robust Physician Gaze Prediction Using A Deep Learning Approach00.342020
Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection.20.422019
Expanding annotated data with informed labels for weak supervision.00.342019
Data Science Summer Academy for Chicago Public School Students00.342019
Efficient learning in computer-aided diagnosis through label propagation.00.342019
Identifying Diagnostically Complex Cases Through Ensemble Learning00.342019
Diis: A Biomedical Data Access Framework For Aiding Data Driven Research Supporting Fair Principles10.412019
Multimodal Ranked Search Over Integrated Repository Of Radiology Data Sources00.342019
Using Machine Learning Algorithms to Detect Suicide Risk Factors on Twitter.00.342019
Detecting and Characterizing Trends in Online Mental Health Discussions.10.372018
Augmenting Medical Decision Making With Text-Based Search of Teaching File Repositories and Medical Ontologies: Text-Based Search of Radiology Teaching Files00.342018
Automatic extraction of informal topics from online suicidal ideation.00.342018
An evaluation of consensus techniques for diagnostic interpretation.00.342018
Lung nodule detection from CT scans using 3D convolutional neural networks without candidate selection.00.342018
Synthetic Sampling for Multi-Class Malignancy Prediction.00.342018
Building confidence and credibility into CAD with belief decision trees.00.342017
Discovery of Informal Topics from Post Traumatic Stress Disorder Forums00.342017
Revealing Interaction Patterns Among Youth in an Online Social Learning Network Using Markov Chain Principles.00.342017
An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files.10.392017
C. Elegans Search Behavior Analysis Using Multivariate Dynamic Time Warping00.342016
Compression-Based Distance Methods As An Alternative To Statistical Methods For Constructing Phylogenetic Trees00.342016
Recommender System to Support Brokering of Youth Learning Opportunities00.342016
Investigating the effects of majority voting on CAD systems: a LIDC case study.00.342016
A Run-Length Encoding Approach for Path Analysis of C. elegans Search Behavior.20.472016
Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium.00.342015
Reducing annotation cost and uncertainty in computer-aided diagnosis through selective iterative classification00.342015
An outlier filtering approach for machine sourced weak segmentations00.342015
Identifying the optimal segmentors for mass classification in mammograms00.342015
Machine-Sourced Segmentations vs. Expert-Sourced Segmentations for the Classification of Lung Nodules with Outlier Removal00.342014
Area under the distance threshold curve as an evaluation measure for probabilistic classifiers00.342013
Consensus versus disagreement in imaging research: a case study using the LIDC database.20.402012
Building An Ensemble System For Diagnosing Masses In Mammograms160.742012
Learning lung nodule similarity using a genetic algorithm60.482012
Expanding diagnostically labeled datasets using content-based image retrieval.50.512012
Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation40.442011
Building multiple weak segmentors for strong mass segmentation in mammogram20.452011
Mapping LIDC, RadLex™, and lung nodule image features.30.492011
A context-aware approach to content-based image retrieval of lung nodules00.342011
A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC30.442010
An Application of Clustering Techniques to Urban Studies00.342010
Image enhancement and edge-based mass segmentation in mammogram80.722010
A model for the relationship between semantic and content based similarity using LIDC110.752010
Predicting LIDC diagnostic characteristics by combining spatial and diagnostic opinions40.422010
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