Jacob D. Furst

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 39

Top Venues

Medical Imaging: Computer-Aided Diagnosis

BIBE

BIBM

CBMS

Publications

Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob D. Furst, Daniela Raicu, Michiel Schinkel, Hari Trivedi, Sameer K. Antani
Biomedical heterogeneous data categorization and schema mapping toward data integration. Frontiers Big Data 6 (2024)
Thomas Zeng, Elias Furst, Yiyang Wang, Roselyne Tchoua, Jacob D. Furst, Daniela Raicu
No nodule left behind: evaluating lung nodule malignancy classification with different stratification schemes. Medical Imaging: Computer-Aided Diagnosis (2023)
Mirtha Lucas, Miguel Lerma, Jacob D. Furst, Daniela Raicu
Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization. CoRR (2022)
Jennifer Piane, Yiyang Wang, Xufan Ma, Jacob D. Furst, Daniela Stan Raicu
Autorevise: annotation refinement using motion signal patterns. SAC (2022)
Mirtha Lucas, Miguel Lerma, Jacob D. Furst, Daniela Raicu
RSI-Grad-CAM: Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-Based Localization. ISVC (1) (2022)
Amal N. Almansour, Jacob D. Furst, Daniela Raicu, Enid Montague
Approaches to Evaluating Eye Gaze Patterns between Physician-Patient Interaction in Primary Care Clinic. BIBM (2021)
Erin Murphy, Alexander Rasin, Jacob D. Furst, Daniela Raicu, Roselyne Tchoua
Ensemble Labeling towards Scientific Information Extraction (ELSIE) - Blob Extraction. e-Science (2021)
Erin Murphy, Alexander Rasin, Jacob D. Furst, Daniela Raicu, Roselyne Tchoua
Ensemble Labeling Towards Scientific Information Extraction (ELSIE). ICCS (1) (2021)
Arun G. Govindaswamy, Enid Montague, Daniela Raicu, Jacob D. Furst
Predicting physician gaze in clinical settings using optical flow and positioning. IVCNZ (2020)
Yiyang Wang, Mirtha Lucas, Jacob D. Furst, Amani A. Fawzi, Daniela Raicu
Explainable Deep Learning for Biomarker Classification of OCT Images. BIBE (2020)
Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob D. Furst, Daniela Raicu, Sameer K. Antani
Enhancing Recall Using Data Cleaning for Biomedical Big Data. CBMS (2020)
Arun Gopal Govindaswamy, Enid Montague, Daniela Stan Raicu, Jacob D. Furst
CNN as a feature extractor in gaze recognition. AICCC (2020)
Tianyi Tan, Enid Montague, Jacob D. Furst, Daniela Raicu
Developing Parameters for a Technology to Predict Patient Satisfaction in Naturalistic Clinical Encounters. HCI (18) (2020)
Mirtha Lucas, Miguel Lerma, Jacob D. Furst, Daniela Raicu
Heatmap Template Generation for COVID-19 Biomarker Detection in Chest X-rays. BIBE (2020)
Mengyuan Shang, Jacob D. Furst, Daniela Stan Raicu
Assessment of Medical Reports Uncertainty through Topic Modeling and Machine Learning. CBMS (2020)
Tianyi Tan, Enid Montague, Jacob D. Furst, Daniela Raicu
Robust Physician Gaze Prediction Using a Deep Learning Approach. BIBE (2020)
Priya Deshpande, Alexander Rasin, Jun Son, Sungmin Kim, Eli T. Brown, Jacob D. Furst, Daniela Stan Raicu, Steven M. Montner, Samuel G. Armato
Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration. J. Digit. Imaging 33 (3) (2020)
Bowen Qiu, Jacob D. Furst, Alexander Rasin, Roselyne Tchoua, Daniela Raicu
Learning Latent Spiculated Features for Lung Nodule Characterization. EMBC (2020)
Daniel Gutstein, Enid Montague, Jacob D. Furst, Daniela Raicu
Hand-Eye Coordination: Automating the Annotation of Physician-Patient Interactions. BIBE (2019)
Daniel Gutstein, Enid Montague, Jacob D. Furst, Daniela Raicu
Optical Flow, Positioning, and Eye Coordination: Automating the Annotation of Physician-Patient Interactions. BIBM (2019)
Samuel Berglin, Eura Shin, Jacob D. Furst, Daniela Raicu
Efficient learning in computer-aided diagnosis through label propagation. Medical Imaging: Computer-Aided Diagnosis (2019)
Priya Deshpande, Alexander Rasin, Jacob D. Furst, Daniela Raicu, Sameer K. Antani
DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles. Data 4 (2) (2019)
Eura Shin, Samuel Berglin, Jacob D. Furst, Daniela Raicu
Expanding annotated data with informed labels for weak supervision. MLDM (2) (2019)
Yan Yu, Yiyang Wang, Jacob D. Furst, Daniela Raicu
Identifying Diagnostically Complex Cases Through Ensemble Learning. ICIAR (2) (2019)
Priya Deshpande, Alexander Rasin, Fang Cao, Sriram Yarlagadda, Eli T. Brown, Jacob D. Furst, Daniela Stan Raicu
Multimodal Ranked Search over Integrated Repository of Radiology Data Sources. KDIR (2019)
Chufan Gao, Stephen Clark, Jacob D. Furst, Daniela Raicu
Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection. Medical Imaging: Computer-Aided Diagnosis (2019)
Jennifer Piane, Yiyang Wang, Timothy Cheung, Hongkyun Kim, Jacob D. Furst, Daniela Raicu
Augmenting Frame-based with Window-based Features for C. elegans Movement Classification. BHI (2019)
Natalia M. Jenuwine, Sunny N. Mahesh, Jacob D. Furst, Daniela Stan Raicu
Lung nodule detection from CT scans using 3D convolutional neural networks without candidate selection. Medical Imaging: Computer-Aided Diagnosis (2018)
Jake N. Sauter, Victoria M. LaBarre, Jacob D. Furst, Daniela Stan Raicu
An evaluation of consensus techniques for diagnostic interpretation. Medical Imaging: Computer-Aided Diagnosis (2018)
Matthew Yung, Eli T. Brown, Alexander Rasin, Jacob D. Furst, Daniela Stan Raicu
Synthetic Sampling for Multi-Class Malignancy Prediction. CoRR (2018)
James Wagner, Alexander Rasin, Tanu Malik, Karen Heart, Jacob D. Furst, Jonathan Grier
Detecting Database File Tampering through Page Carving. EDBT (2018)
Priya Deshpande, Alexander Rasin, Eli T. Brown, Jacob D. Furst, Steven M. Montner, Samuel G. Armato III, Daniela Stan Raicu
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. 8 (2) (2018)
James Wagner, Alexander Rasin, Boris Glavic, Karen Heart, Jacob D. Furst, Lucas Bressan, Jonathan Grier
Carving database storage to detect and trace security breaches. Digit. Investig. (2017)
Priya Deshpande, Alexander Rasin, Eli T. Brown, Jacob D. Furst, Daniela Raicu, Steven M. Montner, Samuel G. Armato III
An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files. MIH@KDD (2017)
Rachael N. Affenit, Erik R. Barns, Jacob D. Furst, Alexander Rasin, Daniela Stan Raicu
Building confidence and credibility into CAD with belief decision trees. Medical Imaging: Computer-Aided Diagnosis (2017)
Huang Li, Hongkyun Kim, Jacob D. Furst, Daniela Raicu
Search Behavior. Comput. Math. Methods Medicine 2016 (2016)
Mohamed El-Dirany, Forrest Wang, Jacob D. Furst, John Rogers, Daniela Raicu
Compression-based distance methods as an alternative to statistical methods for constructing phylogenetic trees. BIBM (2016)
Yiyang Wang, Carleton Smith, Mingfei Shao, Li Huang, Jacob D. Furst, Daniela Raicu, Hongkyun Kim
C. elegans search behavior analysis using Multivariate Dynamic Time Warping. BIBM (2016)
Miguel Carrazza, Brendan Kennedy, Alexander Rasin, Jacob D. Furst, Daniela Raicu
Investigating the effects of majority voting on CAD systems: a LIDC case study. Medical Imaging: Computer-Aided Diagnosis (2016)
Ronald Niehaus, Daniela Stan Raicu, Jacob D. Furst, Samuel G. Armato III
Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis. J. Digit. Imaging 28 (6) (2015)
Yu Zhang, Noriko Tomuro, Jacob D. Furst, Daniela Stan Raicu
Identifying the optimal segmentors for mass classification in mammograms. Medical Imaging: Image Processing (2015)
Amelia Riely, Kyle Sablan, Thomas Xiaotao, Jacob D. Furst, Daniela Raicu
Reducing annotation cost and uncertainty in computer-aided diagnosis through selective iterative classification. Medical Imaging: Computer-Aided Diagnosis (2015)
Jose R. Zamacona, Ronald Niehaus, Alexander Rasin, Jacob D. Furst, Daniela Stan Raicu
Assessing diagnostic complexity: An image feature-based strategy to reduce annotation costs. Comput. Biol. Medicine 62 (2015)
Elza Margolin, Jacob D. Furst, Daniela Raicu
An outlier filtering approach for machine sourced weak segmentations. Medical Imaging: Computer-Aided Diagnosis (2015)
Brendan Kennedy, Miguel Carrazza, Alex Rasin, Jacob D. Furst, Daniela Stan Raicu
Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium. ICDM Workshops (2015)
Mayra Alejandra Molina Puentes, Jacob D. Furst, Daniela Stan Raicu
Machine-Sourced Segmentations vs. Expert-Sourced Segmentations for the Classification of Lung Nodules with Outlier Removal. ICMLA (2014)
Mike Seidel, Alexander Rasin, Jacob D. Furst, Daniela Stan Raicu
Towards Achieving Diagnostic Consensus in Medical Image Interpretation. ICDM Workshops (2014)
Jose R. Zamacona, Alexander Rasin, Jacob D. Furst, Daniela Stan Raicu
Reducing Classification Cost through Strategic Annotation Assignment. ICDM Workshops (2013)
Sydney Williams, Michael Harris, Jacob D. Furst, Daniela Stan Raicu
Area under the Distance Threshold Curve as an Evaluation Measure for Probabilistic Classifiers. MLDM (2013)
Ethan Smith, Patrick Stein, Jacob D. Furst, Daniela Stan Raicu
Weak Segmentations and Ensemble Learning to Predict Semantic Ratings of Lung Nodules. ICMLA (2) (2013)
Dmitry Zinovev, Yujie Duo, Daniela Stan Raicu, Jacob D. Furst, Samuel G. Armato III
Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database. J. Digit. Imaging 25 (3) (2012)
Kerry A. Seitz, Anne-Marie Giuca, Jacob D. Furst, Daniela Raicu
Learning lung nodule similarity using a genetic algorithm. Medical Imaging: Computer-Aided Diagnosis (2012)
Anne-Marie Giuca, Kerry A. Seitz, Jacob D. Furst, Daniela Stan Raicu
Expanding diagnostically labeled datasets using content-based image retrieval. ICIP (2012)
Yu Zhang, Noriko Tomuro, Jacob D. Furst, Daniela Stan Raicu
Building an ensemble system for diagnosing masses in mammograms. Int. J. Comput. Assist. Radiol. Surg. 7 (2) (2012)
Hans-Peter Bischof, Jacob D. Furst, Daniela Stan Raicu, Susan D. Ruban
Top issues in providing successful undergraduate research experiences. SIGCSE (2011)
Dmitry Zinovev, Jacob D. Furst, Daniela Stan Raicu
Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation. ICMLA (2) (2011)
Pia Opulencia, David S. Channin, Daniela Stan Raicu, Jacob D. Furst
Mapping LIDC, RadLex™, and Lung Nodule Image Features. J. Digit. Imaging 24 (2) (2011)
Olga Zinoveva, Dmitry Zinovev, Stephen A. Siena, Daniela Stan Raicu, Jacob D. Furst, Samuel G. Armato III
A Texture-Based Probabilistic Approach for Lung Nodule Segmentation. ICIAR (2) (2011)
Dmitry Zinovev, Jonathan Feigenbaum, Jacob D. Furst, Daniela Raicu
Probabilistic lung nodule classification with belief decision trees. EMBC (2011)
Yu Zhang, Noriko Tomuro, Jacob D. Furst, Daniela Stan Raicu
Building multiple weak segmentors for strong mass segmentation in mammogram. Medical Imaging: Image Processing (2011)
Jacob V. Gardner, Daniela Raicu, Jacob D. Furst
A context-aware approach to content-based image retrieval of lung nodules. Medical Imaging: Computer-Aided Diagnosis (2011)
Stephen A. Siena, Olga Zinoveva, Daniela Raicu, Jacob D. Furst, Samuel G. Armato
A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC. Medical Imaging: Computer-Aided Diagnosis (2010)
Grace M. Dasovich, Robert Kim, Daniela Stan Raicu, Jacob D. Furst
A model for the relationship between semantic and content based similarity using LIDC. Medical Imaging: Computer-Aided Diagnosis (2010)
Robert Kim, Grace Dasovich, Runa Bhaumik, Richard Brock, Jacob D. Furst, Daniela Stan Raicu
An investigation into the relationship between semantic and content based similarity using LIDC. Multimedia Information Retrieval (2010)
William H. Horsthemke, Daniela Stan Raicu, Jacob D. Furst
Predicting LIDC diagnostic characteristics by combining spatial and diagnostic opinions. Medical Imaging: Computer-Aided Diagnosis (2010)
Yu Zhang, Noriko Tomuro, Jacob D. Furst, Daniela Stan Raicu
Image enhancement and edge-based mass segmentation in mammogram. Medical Imaging: Image Processing (2010)
Joseph S. Wantroba, Daniela Stan Raicu, Jacob D. Furst
A statistical analysis of the effects of CT acquisition parameters on low-level features extracted from CT images of the lung. ICIP (2009)
Dmitry Zinovev, Ekarin Varutbangkul, Daniela Stan Raicu, Jacob D. Furst, Samuel G. Armato III
Semi-supervised learning approaches for predicting semantic characteristics of lung nodules. Intell. Decis. Technol. 3 (4) (2009)
Daniela Stan Raicu, Jacob D. Furst
Enhancing undergraduate education: a REU model for interdisciplinary research. SIGCSE (2009)
William H. Horsthemke, Daniela Stan Raicu, Jacob D. Furst
Characterizing pulmonary nodule shape using a boundary-region approach. Medical Imaging: Computer-Aided Diagnosis (2009)
Dmitry Zinovev, Daniela Stan Raicu, Jacob D. Furst, Samuel G. Armato III
Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers. Algorithms 2 (4) (2009)
Jonathan Mortensen, Jia Jie Wu, Jacob D. Furst, John Rogers, Daniela Raicu
Effect of Image Linearization on Normalized Compression Distance. FGIT-SIP (2009)
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
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. IEEE Trans. Medical Imaging 28 (8) (2009)
William H. Horsthemke, Daniela Stan Raicu, Jacob D. Furst
Evaluation Challenges for Bridging Semantic Gap: Shape Disagreements on Pulmonary Nodules in the Lung Image Database Consortium. Int. J. Heal. Inf. Syst. Informatics 4 (1) (2009)
Yu Zhang, Noriko Tomuro, Jacob D. Furst, Daniela Stan Raicu
Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms. MCBR-CDS (2009)
Ruchaneewan Susomboon, Daniela Raicu, Jacob D. Furst, Timothy Ben Johnson
A co-occurrence texture semi-invariance to direction, distance, and patient size. Medical Imaging: Image Processing (2008)
Aaron M. Mintz, Daniela Stan Raicu, Jacob D. Furst
Liver segmentation combining Gabor filtering and traditional vector field snake. Medical Imaging: Image Processing (2008)
Ekarin Varutbangkul, Vesna Mitrovic, Daniela Stan Raicu, Jacob D. Furst
Combining Boundaries and Ratings from Multiple Observers for Predicting Lung Nodule Characteristics. BIOTECHNO (2008)
Carl Philips, Daniel Li, Daniela Stan Raicu, Jacob D. Furst
Directional Invariance of Co-occurrence Matrices within the Liver. BIOTECHNO (2008)
William H. Horsthemke, Ekarin Varutbangkul, Daniela Stan Raicu, Jacob D. Furst
Predictive Data Mining for Lung Nodule Interpretation. ICDM Workshops (2007)
Daniela Stan Raicu, Ekarin Varutbangkul, Janie G. Cisneros, Jacob D. Furst, David S. Channin, Samuel G. Armato
Semantics and image content integration for pulmonary nodule interpretation in thoracic computed tomography. Medical Imaging: Image Processing (2007)
Sharon I. Greenblum, Max Krucoff, Jacob D. Furst, Daniela Stan Raicu
Automated image analysis of noisy microarrays. VISAPP (1) (2007)
Mailan Pham, Ruchaneewan Susomboon, Tim Disney, Daniela Raicu, Jacob D. Furst
A comparison of texture models for automatic liver segmentation. Medical Imaging: Image Processing (2007)
Michael V. Doran, Daniela Stan Raicu, Jacob D. Furst, Raffaella Settimi, Matthew Schipma, Darrell P. Chandler
strains using support vector machines. Bioinform. 23 (4) (2007)
Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob D. Furst, David S. Channin
Automatic Single-Organ Segmentation in Computed Tomography Images. ICDM (2006)
Nathan J. Backman, Brian W. Whitney, Jacob D. Furst, Daniela Stan Raicu
A prioritized and adaptive approach to volumetric seeded region growing using texture descriptors. Computational Imaging (2006)
Roman Lerman, Daniela Stan Raicu, Jacob D. Furst
Contrast enhancement of soft tissues in computed tomography images. Medical Imaging: Image Processing (2006)
Jacob D. Furst, Ruchaneewan Susomboon, Daniela Stan Raicu
Single Organ Segmentation Filters for Multiple Organ Segmentation. EMBC (2006)
Stefanie Handrick, Bahare Naimipour, Daniela Raicu, Jacob D. Furst
Evaluation of binning strategies for tissue classification in computed tomography images. Medical Imaging: Image Processing (2006)
Brian W. Whitney, Nathan J. Backman, Jacob D. Furst, Daniela Stan Raicu
Single click volumetric segmentation of abdominal organs in computed tomography images. Medical Imaging: Image Processing (2006)
Mikhail Kalinin, Daniela Stan Raicu, Jacob D. Furst, David S. Channin
A classification approach for anatomical regions segmentation. ICIP (2) (2005)
John C. McDonald, 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, Nedjla Ougouag, Jerry Schnepp
Achieving Consistency in a Combined IK/FK Interface for a Seven Degree-of-Freedom Kinematic Chain. WSCG (Full Papers) (2005)
Winnie Tsang, Andrew Corboy, Ken Lee, Daniela Stan Raicu, Jacob D. Furst
Texture-Based Image Retrieval for Computerized Tomography Databases. CBMS (2005)
Lindsay Semler, Lucia Dettori, Jacob D. Furst
Wavelet-Based Texture Classification of Tissues in Computed Tomography. CBMS (2005)
Rosalee J. Wolfe, Steve Luecking, John C. McDonald, Jacob D. Furst, Eric Sedgwick, Roymieco Carter, Nedjla Ougouag-Tiouririne
Curricular Considerations for Supporting Careers in Computer Graphics. Comput. Sci. Educ. 13 (1) (2003)
Jacob D. Furst, Stephen M. Pizer
Optimal Parameter Height Ridges. J. Vis. Commun. Image Represent. 13 (1-2) (2002)
John C. McDonald, 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, Shuang Xu, Rosalee J. Wolfe
A Direct Method for Positioning the Arms of a Human Model. Graphics Interface (2002)
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, John C. McDonald, Eric Sedgwick, Noriko Tomuro, Rosalee J. Wolfe
A graphical environment for transcription of american sign language. CATA (2001)
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, John C. McDonald, Noriko Tomuro, Jorge Toro, Rosalee J. Wolfe
Toward the Effective Animation of American Sign Language. WSCG (2001)
John C. McDonald, Jorge Toro, Karen Alkoby, André Berthiaume, Roymieco Carter, Pattaraporn Chomwong, Juliet Christopher, Mary Jo Davidson, Jacob D. Furst, Brian Konie, Glenn Lancaster, Lopa Roychoudhuri, Eric Sedgwick, Noriko Tomuro, Rosalee J. Wolfe
An improved articulated model of the human hand. Vis. Comput. 17 (3) (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jacob D. Furst