Jacob D. Furst
Orcid: 0000-0002-1015-6290Affiliations:
- DePaul University, School of Computing, Computing and Digital Media, Chicago, IL, USA
According to our database1,
Jacob D. Furst
authored at least 120 papers
between 1997 and 2023.
Collaborative distances:
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Bibliography
2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
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
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
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Human-in-the-loop deep learning retinal image classification with customized loss function.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 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
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
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the 18th IEEE International Conference on e-Science, 2022
2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
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
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
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
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
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
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, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
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
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
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
Proceedings of the 21st International Conference on Extending Database Technology, 2018
2017
Digit. Investig., 2017
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
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
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
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
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
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
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
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
Int. J. Comput. Assist. Radiol. Surg., 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
2011
Proceedings of the 42nd ACM technical symposium on Computer science education, 2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011
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
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, 2010
Predicting LIDC diagnostic characteristics by combining spatial and diagnostic opinions.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
A model for the relationship between semantic and content based similarity using LIDC.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
2009
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
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
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
Proceedings of the Signal Processing, Image Processing and Pattern Recognition, 2009
2008
Proceedings of the Medical Imaging 2008: Image Processing, 2008
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
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
Proceedings of the Medical Imaging 2007: Image Processing, 2007
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
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
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
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
Proceedings of the 2005 International Conference on Image Processing, 2005
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005
2003
Comput. Sci. Educ., 2003
2002
Proceedings of the Graphics Interface 2002 Conference, 2002
2001
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
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
Proceedings of the Scale-Space Theories in Computer Vision, 1999
1998
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998
1997
Proceedings of the Scale-Space Theory in Computer Vision, First International Conference, 1997