Jacob D. Furst

Orcid: 0000-0002-1015-6290

Affiliations:
  • DePaul University, School of Computing, Computing and Digital Media, Chicago, IL, USA


According to our database1, Jacob D. Furst authored at least 123 papers between 1997 and 2024.

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Bibliography

2024
Biomedical heterogeneous data categorization and schema mapping toward data integration.
Frontiers Big Data, 2024

Clustering density based gene expression data in the mouse brainstem and comparison to actual neuroanatomy.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024

2023
No nodule left behind: evaluating lung nodule malignancy classification with different stratification schemes.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Iterative K-means clustering for disease subtype discovery.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Multiclass Classification of Software Vulnerabilities with Deep Learning.
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
CompNet: A Designated Model to Handle Combinations of Images and Designed features.
CoRR, 2022

Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization.
CoRR, 2022

Contextualizing Lung Nodule Malignancy Predictions with Easy vs. Hard Image Classification.
Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022

Similarity-based uncertainty scores for interpretable deep learning in scientific applications.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Autorevise: annotation refinement using motion signal patterns.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Interactive deep learning for explainable retinal disease classification.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Similarity-based uncertainty scores for computer-aided diagnosis.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Human-in-the-loop deep learning retinal image classification with customized loss function.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

RSI-Grad-CAM: Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-Based Localization.
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

Lung Nodule Malignancy Subtype Discovery with Semantic Learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Predicting ME/CFS After Infectious Mononucleosis Using Cytokine Network Correlations.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Explainable Model for Localization of Spiculation in Lung Nodules.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Text Summarization towards Scientific Information Extraction.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021
Drusen segmentation with sparse volumetric SD-OCT sampling.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Ensemble Labeling Towards Scientific Information Extraction (ELSIE).
Proceedings of the Computational Science - ICCS 2021, 2021

Ensemble Labeling towards Scientific Information Extraction (ELSIE) - Blob Extraction.
Proceedings of the 17th IEEE International Conference on eScience, 2021

Approaches to Evaluating Eye Gaze Patterns between Physician-Patient Interaction in Primary Care Clinic.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration.
J. Digit. Imaging, 2020

Detecting age-related macular degeneration (AMD) biomarker images using MFCC and texture features.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Predicting physician gaze in clinical settings using optical flow and positioning.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

Developing Parameters for a Technology to Predict Patient Satisfaction in Naturalistic Clinical Encounters.
Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health, 2020

Learning Latent Spiculated Features for Lung Nodule Characterization.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Assessment of Medical Reports Uncertainty through Topic Modeling and Machine Learning.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Enhancing Recall Using Data Cleaning for Biomedical Big Data.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Explainable Deep Learning for Biomarker Classification of OCT Images.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

Robust Physician Gaze Prediction Using a Deep Learning Approach.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

Heatmap Template Generation for COVID-19 Biomarker Detection in Chest X-rays.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

CNN as a feature extractor in gaze recognition.
Proceedings of the AICCC 2020: 2020 3rd Artificial Intelligence and Cloud Computing Conference, 2020

2019
DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles.
Data, 2019

Expanding annotated data with informed labels for weak supervision.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Efficient learning in computer-aided diagnosis through label propagation.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Identifying Diagnostically Complex Cases Through Ensemble Learning.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Multimodal Ranked Search over Integrated Repository of Radiology Data Sources.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Optical Flow, Positioning, and Eye Coordination: Automating the Annotation of Physician-Patient Interactions.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Hand-Eye Coordination: Automating the Annotation of Physician-Patient Interactions.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

Augmenting Frame-based with Window-based Features for C. elegans Movement Classification.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
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., 2018

Synthetic Sampling for Multi-Class Malignancy Prediction.
CoRR, 2018

An evaluation of consensus techniques for diagnostic interpretation.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Lung nodule detection from CT scans using 3D convolutional neural networks without candidate selection.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Detecting Database File Tampering through Page Carving.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017
Carving database storage to detect and trace security breaches.
Digit. Investig., 2017

Building confidence and credibility into CAD with belief decision trees.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files.
Proceedings of the 1st ACM Workshop on Medical Informatics and Healthcare, 2017

2016
A Run-Length Encoding Approach for Path Analysis of<i> C. elegans</i> Search Behavior.
Comput. Math. Methods Medicine, 2016

Investigating the effects of majority voting on CAD systems: a LIDC case study.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

C. elegans search behavior analysis using Multivariate Dynamic Time Warping.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Compression-based distance methods as an alternative to statistical methods for constructing phylogenetic trees.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis.
J. Digit. Imaging, 2015

Assessing diagnostic complexity: An image feature-based strategy to reduce annotation costs.
Comput. Biol. Medicine, 2015

Identifying the optimal segmentors for mass classification in mammograms.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Reducing annotation cost and uncertainty in computer-aided diagnosis through selective iterative classification.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

An outlier filtering approach for machine sourced weak segmentations.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Machine-Sourced Segmentations vs. Expert-Sourced Segmentations for the Classification of Lung Nodules with Outlier Removal.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Towards Achieving Diagnostic Consensus in Medical Image Interpretation.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Area under the Distance Threshold Curve as an Evaluation Measure for Probabilistic Classifiers.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

Weak Segmentations and Ensemble Learning to Predict Semantic Ratings of Lung Nodules.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Reducing Classification Cost through Strategic Annotation Assignment.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Training industrial robots with gesture recognition techniques.
Proceedings of the Intelligent Robots and Computer Vision XXX: Algorithms and Techniques, 2013

2012
Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database.
J. Digit. Imaging, 2012

Building an ensemble system for diagnosing masses in mammograms.
Int. J. Comput. Assist. Radiol. Surg., 2012

Learning lung nodule similarity using a genetic algorithm.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012

Expanding diagnostically labeled datasets using content-based image retrieval.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Mapping LIDC, RadLex™, and Lung Nodule Image Features.
J. Digit. Imaging, 2011

Top issues in providing successful undergraduate research experiences.
Proceedings of the 42nd ACM technical symposium on Computer science education, 2011

Building multiple weak segmentors for strong mass segmentation in mammogram.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

A context-aware approach to content-based image retrieval of lung nodules.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

A Texture-Based Probabilistic Approach for Lung Nodule Segmentation.
Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011

Probabilistic lung nodule classification with belief decision trees.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
An investigation into the relationship between semantic and content based similarity using LIDC.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Image enhancement and edge-based mass segmentation in mammogram.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010

Predicting LIDC diagnostic characteristics by combining spatial and diagnostic opinions.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010

A model for the relationship between semantic and content based similarity using LIDC.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010

2009
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets.
IEEE Trans. Medical Imaging, 2009

Evaluation Challenges for Bridging Semantic Gap: Shape Disagreements on Pulmonary Nodules in the Lung Image Database Consortium.
Int. J. Heal. Inf. Syst. Informatics, 2009

Semi-supervised learning approaches for predicting semantic characteristics of lung nodules.
Intell. Decis. Technol., 2009

Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers.
Algorithms, 2009

Enhancing undergraduate education: a REU model for interdisciplinary research.
Proceedings of the 40th SIGCSE Technical Symposium on Computer Science Education, 2009

Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2009

Characterizing pulmonary nodule shape using a boundary-region approach.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

A statistical analysis of the effects of CT acquisition parameters on low-level features extracted from CT images of the lung.
Proceedings of the International Conference on Image Processing, 2009

Effect of Image Linearization on Normalized Compression Distance.
Proceedings of the Signal Processing, Image Processing and Pattern Recognition, 2009

2008
A co-occurrence texture semi-invariance to direction, distance, and patient size.
Proceedings of the Medical Imaging 2008: Image Processing, 2008

Liver segmentation combining Gabor filtering and traditional vector field snake.
Proceedings of the Medical Imaging 2008: Image Processing, 2008

Combining Boundaries and Ratings from Multiple Observers for Predicting Lung Nodule Characteristics.
Proceedings of the International Conference on Biocomputation, 2008

Directional Invariance of Co-occurrence Matrices within the Liver.
Proceedings of the International Conference on Biocomputation, 2008

2007
Oligonucleotide microarray identification of <i>Bacillus anthracis</i> strains using support vector machines.
Bioinform., 2007

Automated image analysis of noisy microarrays.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007

Semantics and image content integration for pulmonary nodule interpretation in thoracic computed tomography.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

A comparison of texture models for automatic liver segmentation.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

Predictive Data Mining for Lung Nodule Interpretation.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Single click volumetric segmentation of abdominal organs in computed tomography images.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Contrast enhancement of soft tissues in computed tomography images.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Evaluation of binning strategies for tissue classification in computed tomography images.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Automatic Single-Organ Segmentation in Computed Tomography Images.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Single Organ Segmentation Filters for Multiple Organ Segmentation.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

A prioritized and adaptive approach to volumetric seeded region growing using texture descriptors.
Proceedings of the Computational Imaging IV, San Jose, 2006

2005
Achieving Consistency in a Combined IK/FK Interface for a Seven Degree-of-Freedom Kinematic Chain.
Proceedings of the 13-th International Conference in Central Europe on Computer Graphics, 2005

A classification approach for anatomical regions segmentation.
Proceedings of the 2005 International Conference on Image Processing, 2005

Texture-Based Image Retrieval for Computerized Tomography Databases.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

Wavelet-Based Texture Classification of Tissues in Computed Tomography.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

2003
Curricular Considerations for Supporting Careers in Computer Graphics.
Comput. Sci. Educ., 2003

2002
Optimal Parameter Height Ridges.
J. Vis. Commun. Image Represent., 2002

A Direct Method for Positioning the Arms of a Human Model.
Proceedings of the Graphics Interface 2002 Conference, 2002

2001
An improved articulated model of the human hand.
Vis. Comput., 2001

Toward the Effective Animation of American Sign Language.
Proceedings of the 9-th International Conference in Central Europe on Computer Graphics, 2001

Marching ridges.
Proceedings of the Signal and Image Processing (SIP 2001), 2001

A graphical environment for transcription of american sign language.
Proceedings of the ISCA 16th International Conference Computers and Their Applications, 2001

2000
An Improved Articulated Model of the Human Hand.
Proceedings of the 8-th International Conference in Central Europe on Computer Graphics, 2000

Database design and population for american sign language.
Proceedings of the ISCA 15th International Conference Computers and Their Applications, 2000

1999
The Maximal Scale Ridge.
Proceedings of the Scale-Space Theories in Computer Vision, 1999

1998
Marching Optimal-Parameter Ridges: An Algorithm to Extract Shape Loci in 3D Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998

1997
Image Loci are Ridges in Geometric Spaces.
Proceedings of the Scale-Space Theory in Computer Vision, First International Conference, 1997


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