Image Loci are Ridges in Geometric Spaces. - Jacob D. Furst; Robert S. Keller; Jason Miller; Stephen M. Pizer (Scale-Space, 1997)

Marching Optimal-Parameter Ridges: An Algorithm to Extract Shape Loci in 3D Images. - Jacob D. Furst; Stephen M. Pizer (MICCAI, 1998)

The Maximal Scale Ridge. - Jason Miller; Jacob D. Furst (Scale-Space, 1999)

Database design and population for american sign language. - Jacob D. Furst; Karen Alkoby; André Berthiaume; Pattaraporn Chomwong; Mary Jo Davidson; Brian Konie; Glenn Lancaster; Steven L. Lytinen; John McDonald 004; Lopa Roychoudhuri; Jorge Toro; Noriko Tomuro; et al. (CATA, 2000)

An Improved Articulated Model of the Human Hand. - John McDonald 004; Karen Alkoby; André Berthiaume; Pattaraporn Chomwong; Juliet Christopher; Mary Jo Davidson; Jacob D. Furst; Brian Konie; Glenn Lancaster; Steven L. Lytinen; Lopa Roychoudhuri; Eric Sedgwick; et al. (WSCG, 2000)

A graphical environment for transcription of american sign language. - Jorge Toro; Jacob D. Furst; Karen Alkoby; Roymieco Carter; Juliet Christopher; Brock Craft; Mary Jo Davidson; Damien Hinkle; Brian Konie; Glenn Lancaster; Steve Luecking; Ashley Morris; et al. (CATA, 2001)

Marching ridges. - Jacob D. Furst; Stephen M. Pizer (SIP, 2001)

Toward the Effective Animation of American Sign Language. - Eric Sedgwick; Karen Alkoby; Mary Jo Davidson; Roymieco Carter; Juliet Christopher; Brock Craft; Jacob D. Furst; Damien Hinkle; Brian Konie; Glenn Lancaster; Steve Luecking; Ashley Morris; et al. (WSCG, 2001)

An improved articulated model of the human hand. - John McDonald 004; Jorge Toro; Karen Alkoby; André Berthiaume; Roymieco Carter; Pattaraporn Chomwong; Juliet Christopher; Mary Jo Davidson; Jacob D. Furst; Brian Konie; Glenn Lancaster; Lopa Roychoudhuri; et al. (Vis. Comput., 2001)

A Direct Method for Positioning the Arms of a Human Model. - John McDonald 004; Karen Alkoby; Roymieco Carter; Juliet Christopher; Mary Jo Davidson; Dan Ethridge; Jacob D. Furst; Damien Hinkle; Glenn Lancaster; Lori Smallwood; Nedjla Ougouag-Tiouririne; Jorge Toro; et al. (Graphics Interface, 2002)

Optimal Parameter Height Ridges. - Jacob D. Furst; Stephen M. Pizer (J. Vis. Commun. Image Represent., 2002)

Curricular Considerations for Supporting Careers in Computer Graphics. - Rosalee J. Wolfe; Steve Luecking; John McDonald 004; Jacob D. Furst; Eric Sedgwick; Roymieco Carter; Nedjla Ougouag-Tiouririne (Comput. Sci. Educ., 2003)

Wavelet-Based Texture Classification of Tissues in Computed Tomography. - Lindsay Semler; Lucia Dettori; Jacob D. Furst (CBMS, 2005)

Texture-Based Image Retrieval for Computerized Tomography Databases. - Winnie Tsang; Andrew Corboy; Ken Lee; Daniela Stan Raicu; Jacob Furst 001 (CBMS, 2005)

A classification approach for anatomical regions segmentation. - Mikhail Kalinin; Daniela Stan Raicu; Jacob D. Furst; David S. Channin (ICIP (2), 2005)

Achieving Consistency in a Combined IK/FK Interface for a Seven Degree-of-Freedom Kinematic Chain. - John McDonald 004; Rosalee J. Wolfe; Karen Alkoby; Jaceck Brzezinski; Roymieco Carter; Mary Jo Davidson; Jacob D. Furst; Damien Hinkle; Bret Kroll; Glenn Lancaster; Lori Smallwood; Jorge Toro; et al. (WSCG (Full Papers), 2005)

A prioritized and adaptive approach to volumetric seeded region growing using texture descriptors. - Nathan J. Backman; Brian W. Whitney; Jacob D. Furst; Daniela Stan Raicu (Computational Imaging, 2006)

Single Organ Segmentation Filters for Multiple Organ Segmentation. - Jacob D. Furst; Ruchaneewan Susomboon; Daniela Stan Raicu (EMBC, 2006)

Automatic Single-Organ Segmentation in Computed Tomography Images. - Ruchaneewan Susomboon; Daniela Stan Raicu; Jacob Furst 001; David S. Channin (ICDM, 2006)

Evaluation of binning strategies for tissue classification in computed tomography images. - Stefanie Handrick; Bahare Naimipour; Daniela Raicu; Jacob Furst 001 (Image Processing, 2006)

Contrast enhancement of soft tissues in computed tomography images. - Roman Lerman; Daniela Stan Raicu; Jacob D. Furst (Image Processing, 2006)

Single click volumetric segmentation of abdominal organs in computed tomography images. - Brian W. Whitney; Nathan J. Backman; Jacob D. Furst; Daniela Stan Raicu (Image Processing, 2006)

Predictive Data Mining for Lung Nodule Interpretation. - William H. Horsthemke; Ekarin Varutbangkul; Daniela Stan Raicu; Jacob Furst 001 (ICDM Workshops, 2007)

A comparison of texture models for automatic liver segmentation. - Mailan Pham; Ruchaneewan Susomboon; Tim Disney; Daniela Raicu; Jacob Furst 001 (Image Processing, 2007)

Semantics and image content integration for pulmonary nodule interpretation in thoracic computed tomography. - Daniela Stan Raicu; Ekarin Varutbangkul; Janie G. Cisneros; Jacob Furst 001; David S. Channin; Samuel G. Armato (Image Processing, 2007)

Automated image analysis of noisy microarrays. - Sharon I. Greenblum; Max Krucoff; Jacob Furst 001; Daniela Stan Raicu (VISAPP (1), 2007)

Oligonucleotide microarray identification of Bacillus anthracis strains using support vector machines. - Michael V. Doran; Daniela Stan Raicu; Jacob D. Furst; Raffaella Settimi; Matthew Schipma; Darrell P. Chandler (Bioinform., 2007)

Directional Invariance of Co-occurrence Matrices within the Liver. - Carl Philips; Daniel Li; Daniela Stan Raicu; Jacob Furst 001 (BIOTECHNO, 2008)

Combining Boundaries and Ratings from Multiple Observers for Predicting Lung Nodule Characteristics. - Ekarin Varutbangkul; Vesna Mitrovic; Daniela Stan Raicu; Jacob Furst 001 (BIOTECHNO, 2008)

Liver segmentation combining Gabor filtering and traditional vector field snake. - Aaron M. Mintz; Daniela Stan Raicu; Jacob D. Furst (Image Processing, 2008)

A co-occurrence texture semi-invariance to direction, distance, and patient size. - Ruchaneewan Susomboon; Daniela Raicu; Jacob Furst 001; Timothy Ben Johnson (Image Processing, 2008)

Effect of Image Linearization on Normalized Compression Distance. - Jonathan Mortensen; Jia Jie Wu; Jacob Furst 001; John Rogers; Daniela Raicu (FGIT-SIP, 2009)

A statistical analysis of the effects of CT acquisition parameters on low-level features extracted from CT images of the lung. - Joseph S. Wantroba; Daniela Stan Raicu; Jacob D. Furst (ICIP, 2009)

Characterizing pulmonary nodule shape using a boundary-region approach. - William H. Horsthemke; Daniela Stan Raicu; Jacob D. Furst (Computer-Aided Diagnosis, 2009)

Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms. - Yu Zhang; Noriko Tomuro; Jacob Furst 001; Daniela Stan Raicu (MCBR-CDS, 2009)

Enhancing undergraduate education: a REU model for interdisciplinary research. - Daniela Stan Raicu; Jacob David Furst (SIGCSE, 2009)

Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers. - Dmitry Zinovev; Daniela Stan Raicu; Jacob Furst 001; Samuel G. Armato III (Algorithms, 2009)

Semi-supervised learning approaches for predicting semantic characteristics of lung nodules. - Dmitry Zinovev; Ekarin Varutbangkul; Daniela Stan Raicu; Jacob D. Furst; Samuel G. Armato III (Intell. Decis. Technol., 2009)

Evaluation Challenges for Bridging Semantic Gap: Shape Disagreements on Pulmonary Nodules in the Lung Image Database Consortium. - William H. Horsthemke; Daniela Stan Raicu; Jacob D. Furst (Int. J. Heal. Inf. Syst. Informatics, 2009)

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. - Tobias Heimann; Bram van Ginneken; Martin Styner; Yulia Arzhaeva; Volker Aurich; Christian Bauer 001; Andreas Beck 001; Christoph Becker 002; Reinhard Beichel; György Bekes; Fernando Bello; Gerd Karl Binnig; et al. (IEEE Trans. Medical Imaging, 2009)

A model for the relationship between semantic and content based similarity using LIDC. - Grace M. Dasovich; Robert Kim; Daniela Stan Raicu; Jacob D. Furst (Computer-Aided Diagnosis, 2010)

Predicting LIDC diagnostic characteristics by combining spatial and diagnostic opinions. - William H. Horsthemke; Daniela Stan Raicu; Jacob D. Furst (Computer-Aided Diagnosis, 2010)

A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC. - Stephen A. Siena; Olga Zinoveva; Daniela Raicu; Jacob Furst 001; Samuel G. Armato (Computer-Aided Diagnosis, 2010)

Image enhancement and edge-based mass segmentation in mammogram. - Yu Zhang; Noriko Tomuro; Jacob Furst 001; Daniela Stan Raicu (Image Processing, 2010)

An investigation into the relationship between semantic and content based similarity using LIDC. - Robert Kim; Grace Dasovich; Runa Bhaumik; Richard Brock; Jacob D. Furst; Daniela Stan Raicu (Multimedia Information Retrieval, 2010)

Probabilistic lung nodule classification with belief decision trees. - Dmitry Zinovev; Jonathan Feigenbaum; Jacob Furst 001; Daniela Raicu (EMBC, 2011)

A Texture-Based Probabilistic Approach for Lung Nodule Segmentation. - Olga Zinoveva; Dmitry Zinovev; Stephen A. Siena; Daniela Stan Raicu; Jacob Furst 001; Samuel G. Armato III (ICIAR (2), 2011)

Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation. - Dmitry Zinovev; Jacob Furst 001; Daniela Stan Raicu (ICMLA (2), 2011)

A context-aware approach to content-based image retrieval of lung nodules. - Jacob V. Gardner; Daniela Raicu; Jacob Furst 001 (Computer-Aided Diagnosis, 2011)

Building multiple weak segmentors for strong mass segmentation in mammogram. - Yu Zhang; Noriko Tomuro; Jacob Furst 001; Daniela Stan Raicu (Image Processing, 2011)

Top issues in providing successful undergraduate research experiences. - Hans-Peter Bischof; Jacob D. Furst; Daniela Stan Raicu; Susan Darling Urban (SIGCSE, 2011)

Mapping LIDC, RadLex™, and Lung Nodule Image Features. - Pia Opulencia; David S. Channin; Daniela Stan Raicu; Jacob D. Furst (J. Digit. Imaging, 2011)

Expanding diagnostically labeled datasets using content-based image retrieval. - Anne-Marie Giuca; Kerry A. Seitz; Jacob Furst 001; Daniela Stan Raicu (ICIP, 2012)

Learning lung nodule similarity using a genetic algorithm. - Kerry A. Seitz; Anne-Marie Giuca; Jacob Furst 001; Daniela Raicu (Computer-Aided Diagnosis, 2012)

Building an ensemble system for diagnosing masses in mammograms. - Yu Zhang; Noriko Tomuro; Jacob Furst 001; Daniela Stan Raicu (Int. J. Comput. Assist. Radiol. Surg., 2012)

Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database. - Dmitry Zinovev; Yujie Duo; Daniela Stan Raicu; Jacob Furst 001; Samuel G. Armato III (J. Digit. Imaging, 2012)

Training industrial robots with gesture recognition techniques. - Jennifer Piane; Daniela Raicu; Jacob Furst 001 (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2013)

Reducing Classification Cost through Strategic Annotation Assignment. - Jose R. Zamacona; Alexander Rasin; Jacob D. Furst; Daniela Stan Raicu (ICDM Workshops, 2013)

Weak Segmentations and Ensemble Learning to Predict Semantic Ratings of Lung Nodules. - Ethan Smith; Patrick Stein; Jacob Furst 001; Daniela Stan Raicu (ICMLA (2), 2013)

Area under the Distance Threshold Curve as an Evaluation Measure for Probabilistic Classifiers. - Sydney Williams; Michael Harris; Jacob Furst 001; Daniela Stan Raicu (MLDM, 2013)

Towards Achieving Diagnostic Consensus in Medical Image Interpretation. - Mike Seidel; Alexander Rasin; Jacob Furst 001; Daniela Stan Raicu (ICDM Workshops, 2014)

Machine-Sourced Segmentations vs. Expert-Sourced Segmentations for the Classification of Lung Nodules with Outlier Removal. - Mayra Alejandra Molina Puentes; Jacob Furst 001; Daniela Stan Raicu (ICMLA, 2014)

Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium. - Brendan Kennedy 001; Miguel Carrazza; Alex Rasin; Jacob Furst 001; Daniela Stan Raicu (ICDM Workshops, 2015)

An outlier filtering approach for machine sourced weak segmentations. - Elza Margolin; Jacob Furst 001; Daniela Raicu (Computer-Aided Diagnosis, 2015)

Reducing annotation cost and uncertainty in computer-aided diagnosis through selective iterative classification. - Amelia Riely; Kyle Sablan; Thomas Xiaotao; Jacob Furst 001; Daniela Raicu (Computer-Aided Diagnosis, 2015)

Identifying the optimal segmentors for mass classification in mammograms. - Yu Zhang; Noriko Tomuro; Jacob Furst 001; Daniela Stan Raicu (Image Processing, 2015)

Assessing diagnostic complexity: An image feature-based strategy to reduce annotation costs. - Jose R. Zamacona; Ronald Niehaus; Alexander Rasin; Jacob D. Furst; Daniela Stan Raicu (Comput. Biol. Medicine, 2015)

Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis. - Ronald Niehaus; Daniela Stan Raicu; Jacob Furst 001; Samuel G. Armato III (J. Digit. Imaging, 2015)

Compression-based distance methods as an alternative to statistical methods for constructing phylogenetic trees. - Mohamed El-Dirany; Forrest Wang; Jacob Furst 001; John Rogers; Daniela Raicu (BIBM, 2016)

C. elegans search behavior analysis using Multivariate Dynamic Time Warping. - Yiyang Wang 003; Carleton Smith; Mingfei Shao; Li Huang; Jacob Furst 001; Daniela Raicu; Hongkyun Kim (BIBM, 2016)

Investigating the effects of majority voting on CAD systems: a LIDC case study. - Miguel Carrazza; Brendan Kennedy 001; Alexander Rasin; Jacob Furst 001; Daniela Raicu (Computer-Aided Diagnosis, 2016)

A Run-Length Encoding Approach for Path Analysis of C. elegans Search Behavior. - Huang Li; Hongkyun Kim; Jacob Furst 001; Daniela Raicu (Comput. Math. Methods Medicine, 2016)

An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files. - Priya Deshpande; Alexander Rasin; Eli T. Brown; Jacob Furst 001; Daniela Raicu; Steven M. Montner; Samuel G. Armato III (MIH@KDD, 2017)

Building confidence and credibility into CAD with belief decision trees. - Rachael N. Affenit; Erik R. Barns; Jacob D. Furst; Alexander Rasin; Daniela Stan Raicu (Computer-Aided Diagnosis, 2017)

Carving database storage to detect and trace security breaches. - James Wagner; Alexander Rasin; Boris Glavic; Karen Heart; Jacob D. Furst; Lucas Bressan; Jonathan Grier (Digit. Investig., 2017)

Detecting Database File Tampering through Page Carving. - James Wagner; Alexander Rasin; Tanu Malik; Karen Heart; Jacob D. Furst; Jonathan Grier (EDBT, 2018)

Lung nodule detection from CT scans using 3D convolutional neural networks without candidate selection. - Natalia M. Jenuwine; Sunny N. Mahesh; Jacob D. Furst; Daniela Stan Raicu (Computer-Aided Diagnosis, 2018)

An evaluation of consensus techniques for diagnostic interpretation. - Jake N. Sauter; Victoria M. LaBarre; Jacob D. Furst; Daniela Stan Raicu (Computer-Aided Diagnosis, 2018)

Synthetic Sampling for Multi-Class Malignancy Prediction. - Matthew Yung; Eli T. Brown; Alexander Rasin; Jacob D. Furst; Daniela Stan Raicu (CoRR, 2018)

Augmenting Medical Decision Making With Text-Based Search of Teaching File Repositories and Medical Ontologies: Text-Based Search of Radiology Teaching Files. - Priya Deshpande; Alexander Rasin; Eli T. Brown; Jacob Furst 001; Steven M. Montner; Samuel G. Armato III; Daniela Stan Raicu (Int. J. Knowl. Discov. Bioinform., 2018)

Augmenting Frame-based with Window-based Features for C. elegans Movement Classification. - Jennifer Piane; Yiyang Wang 003; Timothy Cheung; Hongkyun Kim; Jacob Furst 001; Daniela Raicu (BHI, 2019)

Hand-Eye Coordination: Automating the Annotation of Physician-Patient Interactions. - Daniel Gutstein; Enid Montague; Jacob Furst 001; Daniela Raicu (BIBE, 2019)

Optical Flow, Positioning, and Eye Coordination: Automating the Annotation of Physician-Patient Interactions. - Daniel Gutstein; Enid Montague; Jacob Furst 001; Daniela Raicu (BIBM, 2019)

Multimodal Ranked Search over Integrated Repository of Radiology Data Sources. - Priya Deshpande; Alexander Rasin; Fang Cao; Sriram Yarlagadda; Eli T. Brown; Jacob Furst 001; Daniela Stan Raicu (KDIR, 2019)

Identifying Diagnostically Complex Cases Through Ensemble Learning. - Yan Yu; Yiyang Wang 003; Jacob Furst 001; Daniela Raicu (ICIAR (2), 2019)

Efficient learning in computer-aided diagnosis through label propagation. - Samuel Berglin; Eura Shin; Jacob Furst 001; Daniela Raicu (Computer-Aided Diagnosis, 2019)

Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection. - Chufan Gao; Stephen Clark; Jacob Furst 001; Daniela Raicu (Computer-Aided Diagnosis, 2019)

Expanding annotated data with informed labels for weak supervision. - Eura Shin; Samuel Berglin; Jacob Furst 001; Daniela Raicu (MLDM (2), 2019)

DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles. - Priya Deshpande; Alexander Rasin; Jacob Furst 001; Daniela Raicu; Sameer K. Antani (Data, 2019)

CNN as a feature extractor in gaze recognition. - Arun Gopal Govindaswamy; Enid Montague; Daniela Stan Raicu; Jacob Furst 001 (AICCC, 2020)

Heatmap Template Generation for COVID-19 Biomarker Detection in Chest X-rays. - Mirtha Lucas; Miguel Lerma; Jacob Furst 001; Daniela Raicu (BIBE, 2020)

Robust Physician Gaze Prediction Using a Deep Learning Approach. - Tianyi Tan; Enid Montague; Jacob Furst 001; Daniela Raicu (BIBE, 2020)

Explainable Deep Learning for Biomarker Classification of OCT Images. - Yiyang Wang 003; Mirtha Lucas; Jacob Furst 001; Amani A. Fawzi; Daniela Raicu (BIBE, 2020)

Enhancing Recall Using Data Cleaning for Biomedical Big Data. - Priya Deshpande; Alexander Rasin; Roselyne Tchoua; Jacob Furst 001; Daniela Raicu; Sameer K. Antani (CBMS, 2020)

Assessment of Medical Reports Uncertainty through Topic Modeling and Machine Learning. - Mengyuan Shang; Jacob Furst 001; Daniela Stan Raicu (CBMS, 2020)

Learning Latent Spiculated Features for Lung Nodule Characterization. - Bowen Qiu; Jacob Furst 001; Alexander Rasin; Roselyne Tchoua; Daniela Raicu (EMBC, 2020)

Developing Parameters for a Technology to Predict Patient Satisfaction in Naturalistic Clinical Encounters. - Tianyi Tan; Enid Montague; Jacob Furst 001; Daniela Raicu (HCI (18), 2020)

Predicting physician gaze in clinical settings using optical flow and positioning. - Arun G. Govindaswamy; Enid Montague; Daniela Raicu; Jacob Furst 001 (IVCNZ, 2020)

Detecting age-related macular degeneration (AMD) biomarker images using MFCC and texture features. - Yiyang Wang 003; Xufan Ma; Rob Weddell; Abum Okemgbo; David Rein; Amani A. Fawzi; Jacob Furst 001; Daniela Raicu (Computer-Aided Diagnosis, 2020)

Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration. - Priya Deshpande; Alexander Rasin; Jun Son; Sungmin Kim; Eli T. Brown; Jacob Furst 001; Daniela Stan Raicu; Steven M. Montner; Samuel G. Armato (J. Digit. Imaging, 2020)

Approaches to Evaluating Eye Gaze Patterns between Physician-Patient Interaction in Primary Care Clinic. - Amal N. Almansour; Jacob Furst 001; Daniela Raicu; Enid Montague (BIBM, 2021)

Ensemble Labeling towards Scientific Information Extraction (ELSIE) - Blob Extraction. - Erin Murphy; Alexander Rasin; Jacob Furst 001; Daniela Raicu; Roselyne Tchoua (e-Science, 2021)

Ensemble Labeling Towards Scientific Information Extraction (ELSIE). - Erin Murphy; Alexander Rasin; Jacob Furst 001; Daniela Raicu; Roselyne Tchoua (ICCS (1), 2021)

Drusen segmentation with sparse volumetric SD-OCT sampling. - Abum Okemgbo; David Rein; Yiyang Wang 003; Amani A. Fawzi; Jacob Furst 001; Daniela Raicu (Image Processing, 2021)

Text Summarization towards Scientific Information Extraction. - Abigail Keller; Jacob Furst 001; Daniela Raicu; Peter M. Hastings; Roselyne Tchoua (e-Science, 2022)

Explainable Model for Localization of Spiculation in Lung Nodules. - Mirtha Lucas; Miguel Lerma; Jacob Furst 001; Daniela Raicu (ECCV Workshops (7), 2022)

Predicting ME/CFS After Infectious Mononucleosis Using Cytokine Network Correlations. - Jennifer Schwabe; Chelsea Hua; Emma M. Allen; Leonard A. Jason; Jacob Furst 001; Daniela Raicu (ICMLA, 2022)

Lung Nodule Malignancy Subtype Discovery with Semantic Learning. - Yiyang Wang 003; Bowen Qiu; Thiruvarangan Ramaraj; Ilyas Ustun; Jacob Furst 001; Daniela Raicu (ICPR, 2022)

RSI-Grad-CAM: Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-Based Localization. - Mirtha Lucas; Miguel Lerma; Jacob Furst 001; Daniela Raicu (ISVC (1), 2022)

Human-in-the-loop deep learning retinal image classification with customized loss function. - Suhev Shakya; Mariana Vasquez; Yiyang Wang 003; Roselyne Tchoua; Jacob Furst 001; Daniela Raicu (Computer-Aided Diagnosis, 2022)

Similarity-based uncertainty scores for computer-aided diagnosis. - Claire Weissman; Lilly Roelofs; Jacob Furst 001; Daniela Stan Raicu; Roselyne Tchoua (Computer-Aided Diagnosis, 2022)

Interactive deep learning for explainable retinal disease classification. - Mariana Vasquez; Suhev Shakya; Ian Wang; Jacob Furst 001; Roselyne Tchoua; Daniela Raicu (Image Processing, 2022)

Autorevise: annotation refinement using motion signal patterns. - Jennifer Piane; Yiyang Wang 003; Xufan Ma; Jacob Furst 001; Daniela Stan Raicu (SAC, 2022)

Similarity-based uncertainty scores for interpretable deep learning in scientific applications. - Lilly Roelofs; Claire Weissman; Daniela Raicu; Jacob Furst 001; Roselyne Tchoua (SAC, 2022)

Contextualizing Lung Nodule Malignancy Predictions with Easy vs. Hard Image Classification. - Edward Xu; Thiruvarangan Ramaraj; Roselyne Tchoua; Jacob Furst 001; Daniela Raicu (TransAI, 2022)

Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization. - Mirtha Lucas; Miguel Lerma; Jacob Furst 001; Daniela Raicu (CoRR, 2022)

CompNet: A Designated Model to Handle Combinations of Images and Designed features. - Bowen Qiu; Daniela Raicu; Jacob Furst 001; Roselyne Tchoua (CoRR, 2022)

Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning. - Arun Sivakumar; Yiyang Wang 003; Roselyne Tchoua; Thiruvarangan Ramaraj; Jacob Furst 001; Daniela Stan Raicu (CBMS, 2023)

Multiclass Classification of Software Vulnerabilities with Deep Learning. - Crystal Contreras; Hristina Dokic; Zhen Huang 002; Daniela Stan Raicu; Jacob Furst 001; Roselyne Tchoua (ICMLC, 2023)

Iterative K-means clustering for disease subtype discovery. - Katherine Aubert; Catherine Huber; Jacob Furst 001; Daniela Stan Raicu; Roselyne Tchoua (Computer-Aided Diagnosis, 2023)

No nodule left behind: evaluating lung nodule malignancy classification with different stratification schemes. - Thomas Zeng 003; Elias Furst; Yiyang Wang 003; Roselyne Tchoua; Jacob D. Furst; Daniela Raicu (Computer-Aided Diagnosis, 2023)

Leveraging Interpretable Features and Clustering Agreements for Assistive Materials Discovery. - Maria Alexandra Theodorescu; Jacob D. Furst; Daniela Stan Raicu; Roselyne Tchoua (TransAI, 2023)

Clustering density based gene expression data in the mouse brainstem and comparison to actual neuroanatomy. - Colin Buenvenida; Brandon Kong; Shane Jung; Kaiwen Kam; Jacob D. Furst; Thiruvarangan Ramaraj (CIBCB, 2024)

Biomedical heterogeneous data categorization and schema mapping toward data integration. - Priya Deshpande; Alexander Rasin; Roselyne Tchoua; Jacob D. Furst; Daniela Raicu; Michiel Schinkel; Hari Trivedi; Sameer K. Antani (Frontiers Big Data, 2024)

Leveraging Community Health Workers for Predicting Emergency Department Readmissions. - Nuvia Hernandez; Kate Karam; Nicole Baugh; Shilpa Musale; Aditya Patrick Moses; Daniela Raicu; Jacob D. Furst; Kelly McCabe; Roselyne Tchoua (Int. J. Semantic Comput., 2024)

Enhancing Pulmonary Nodule Localization Based on Latent Representations. - Charmi Patel; Yiyang Wang 003; Roselyne Tchoua; Thiruvarangan Ramaraj; Jacob D. Furst; Daniela Raicu (CBMS, 2025)

Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images. - Sara Yavari; Jacob Furst 001 (CoRR, 2025)

DMCIE: Diffusion Model with Concatenation of Inputs and Errors to Improve the Accuracy of the Segmentation of Brain Tumors in MRI Images. - Sara Yavari; Rahul Nitin Pandya; Jacob D. Furst (CoRR, 2025)