Jacob Furst - RankMe

83 papers A* 1B 17C 6Misc 4Journal 11Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Boosting 30-Day Emergency Department Readmission Predictions with BERT-Powered Community Health Worker Notes. BIOSTEC (4) Ankita Mishra, Charmi Patel, Naveen Kumar Reddy Veeramreddy, Yiyang Wang, John Mazzeo, Jamshid Sourati, Kelly McCabe, Roselyne Tchoua, Jacob Furst, Daniela Raicu
2025	—	`conf`	Leveraging Hidden Patterns in Open-Ended Community Health Workers' Notes to Improve Prediction of Patient Readmission. eScience Naveen Kumar Reddy Veeramreddy, Ankita Mishra, Navika Maglani, Sameer Shaik, Kelly McCabe, Jacob Furst, Daniela Stan Raicu, Roselyne Tchoua, Jamshid Sourati
2025	J	`jnl`	Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images. CoRR Sara Yavari, Jacob Furst
2023	B	`conf`	Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning. CBMS Arun Sivakumar, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob Furst, Daniela Stan Raicu
2023	—	`conf`	Iterative K-means clustering for disease subtype discovery. Computer-Aided Diagnosis Katherine Aubert, Catherine Huber, Jacob Furst, Daniela Stan Raicu, Roselyne Tchoua
2023	Misc	`conf`	Multiclass Classification of Software Vulnerabilities with Deep Learning. ICMLC Crystal Contreras, Hristina Dokic, Zhen Huang, Daniela Stan Raicu, Jacob Furst, Roselyne Tchoua
2022	Misc	`conf`	Autorevise: annotation refinement using motion signal patterns. SAC Jennifer Piane, Yiyang Wang, Xufan Ma, Jacob Furst, Daniela Stan Raicu
2022	J	`jnl`	CompNet: A Designated Model to Handle Combinations of Images and Designed features. CoRR Bowen Qiu, Daniela Raicu, Jacob Furst, Roselyne Tchoua
2022	—	`conf`	Contextualizing Lung Nodule Malignancy Predictions with Easy vs. Hard Image Classification. TransAI Edward Xu, Thiruvarangan Ramaraj, Roselyne Tchoua, Jacob Furst, Daniela Raicu
2022	—	`conf`	Explainable Model for Localization of Spiculation in Lung Nodules. ECCV Workshops (7) Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu
2022	—	`conf`	Human-in-the-loop deep learning retinal image classification with customized loss function. Computer-Aided Diagnosis Suhev Shakya, Mariana Vasquez, Yiyang Wang, Roselyne Tchoua, Jacob Furst, Daniela Raicu
2022	B	`conf`	Interactive deep learning for explainable retinal disease classification. Image Processing Mariana Vasquez, Suhev Shakya, Ian Wang, Jacob Furst, Roselyne Tchoua, Daniela Raicu
2022	B	`conf`	Lung Nodule Malignancy Subtype Discovery with Semantic Learning. ICPR Yiyang Wang, Bowen Qiu, Thiruvarangan Ramaraj, Ilyas Ustun, Jacob Furst, Daniela Raicu
2022	C	`conf`	Predicting ME/CFS After Infectious Mononucleosis Using Cytokine Network Correlations. ICMLA Jennifer Schwabe, Chelsea Hua, Emma M. Allen, Leonard A. Jason, Jacob Furst, Daniela Raicu
2022	—	`conf`	RSI-Grad-CAM: Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-Based Localization. ISVC (1) Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu
2022	—	`conf`	Similarity-based uncertainty scores for computer-aided diagnosis. Computer-Aided Diagnosis Claire Weissman, Lilly Roelofs, Jacob Furst, Daniela Stan Raicu, Roselyne Tchoua
2022	Misc	`conf`	Similarity-based uncertainty scores for interpretable deep learning in scientific applications. SAC Lilly Roelofs, Claire Weissman, Daniela Raicu, Jacob Furst, Roselyne Tchoua
2022	B	`conf`	Text Summarization towards Scientific Information Extraction. e-Science Abigail Keller, Jacob Furst, Daniela Raicu, Peter M. Hastings, Roselyne Tchoua
2022	J	`jnl`	Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization. CoRR Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu
2021	—	`conf`	Approaches to Evaluating Eye Gaze Patterns between Physician-Patient Interaction in Primary Care Clinic. BIBM Amal N. Almansour, Jacob Furst, Daniela Raicu, Enid Montague
2021	B	`conf`	Drusen segmentation with sparse volumetric SD-OCT sampling. Image Processing Abum Okemgbo, David Rein, Yiyang Wang, Amani A. Fawzi, Jacob Furst, Daniela Raicu
2021	—	`conf`	Ensemble Labeling Towards Scientific Information Extraction (ELSIE). ICCS (1) Erin Murphy, Alexander Rasin, Jacob Furst, Daniela Raicu, Roselyne Tchoua
2021	B	`conf`	Ensemble Labeling towards Scientific Information Extraction (ELSIE) - Blob Extraction. e-Science Erin Murphy, Alexander Rasin, Jacob Furst, Daniela Raicu, Roselyne Tchoua
2020	B	`conf`	Assessment of Medical Reports Uncertainty through Topic Modeling and Machine Learning. CBMS Mengyuan Shang, Jacob Furst, Daniela Stan Raicu
2020	—	`conf`	CNN as a feature extractor in gaze recognition. AICCC Arun Gopal Govindaswamy, Enid Montague, Daniela Stan Raicu, Jacob Furst
2020	—	`conf`	Detecting age-related macular degeneration (AMD) biomarker images using MFCC and texture features. Computer-Aided Diagnosis Yiyang Wang, Xufan Ma, Rob Weddell, Abum Okemgbo, David Rein, Amani A. Fawzi, Jacob Furst, Daniela Raicu
2020	—	`conf`	Developing Parameters for a Technology to Predict Patient Satisfaction in Naturalistic Clinical Encounters. HCI (18) Tianyi Tan, Enid Montague, Jacob Furst, Daniela Raicu
2020	B	`conf`	Enhancing Recall Using Data Cleaning for Biomedical Big Data. CBMS Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob Furst, Daniela Raicu, Sameer K. Antani
2020	C	`conf`	Explainable Deep Learning for Biomarker Classification of OCT Images. BIBE Yiyang Wang, Mirtha Lucas, Jacob Furst, Amani A. Fawzi, Daniela Raicu
2020	C	`conf`	Heatmap Template Generation for COVID-19 Biomarker Detection in Chest X-rays. BIBE Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu
2020	—	`conf`	Learning Latent Spiculated Features for Lung Nodule Characterization. EMBC Bowen Qiu, Jacob Furst, Alexander Rasin, Roselyne Tchoua, Daniela Raicu
2020	J	`jnl`	Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration. J. Digit. Imaging Priya Deshpande, Alexander Rasin, Jun Son, Sungmin Kim, Eli T. Brown, Jacob Furst, Daniela Stan Raicu, Steven M. Montner, Samuel G. Armato
2020	Misc	`conf`	Predicting physician gaze in clinical settings using optical flow and positioning. IVCNZ Arun G. Govindaswamy, Enid Montague, Daniela Raicu, Jacob Furst
2020	C	`conf`	Robust Physician Gaze Prediction Using a Deep Learning Approach. BIBE Tianyi Tan, Enid Montague, Jacob Furst, Daniela Raicu
2019	—	`conf`	Augmenting Frame-based with Window-based Features for C. elegans Movement Classification. BHI Jennifer Piane, Yiyang Wang, Timothy Cheung, Hongkyun Kim, Jacob Furst, Daniela Raicu
2019	—	`conf`	Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection. Computer-Aided Diagnosis Chufan Gao, Stephen Clark, Jacob Furst, Daniela Raicu
2019	J	`jnl`	DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles. Data Priya Deshpande, Alexander Rasin, Jacob Furst, Daniela Raicu, Sameer K. Antani
2019	—	`conf`	Efficient learning in computer-aided diagnosis through label propagation. Computer-Aided Diagnosis Samuel Berglin, Eura Shin, Jacob Furst, Daniela Raicu
2019	—	`conf`	Expanding annotated data with informed labels for weak supervision. MLDM (2) Eura Shin, Samuel Berglin, Jacob Furst, Daniela Raicu
2019	C	`conf`	Hand-Eye Coordination: Automating the Annotation of Physician-Patient Interactions. BIBE Daniel Gutstein, Enid Montague, Jacob Furst, Daniela Raicu
2019	—	`conf`	Identifying Diagnostically Complex Cases Through Ensemble Learning. ICIAR (2) Yan Yu, Yiyang Wang, Jacob Furst, Daniela Raicu
2019	—	`conf`	Multimodal Ranked Search over Integrated Repository of Radiology Data Sources. KDIR Priya Deshpande, Alexander Rasin, Fang Cao, Sriram Yarlagadda, Eli T. Brown, Jacob Furst, Daniela Stan Raicu
2019	—	`conf`	Optical Flow, Positioning, and Eye Coordination: Automating the Annotation of Physician-Patient Interactions. BIBM Daniel Gutstein, Enid Montague, Jacob Furst, Daniela Raicu
2018	J	`jnl`	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. Priya Deshpande, Alexander Rasin, Eli T. Brown, Jacob Furst, Steven M. Montner, Samuel G. Armato III, Daniela Stan Raicu
2017	—	`conf`	An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files. MIH@KDD Priya Deshpande, Alexander Rasin, Eli T. Brown, Jacob Furst, Daniela Raicu, Steven M. Montner, Samuel G. Armato III
2016	J	`jnl`	A Run-Length Encoding Approach for Path Analysis of Comput. Math. Methods Medicine Huang Li, Hongkyun Kim, Jacob Furst, Daniela Raicu
2016	—	`conf`	C. elegans search behavior analysis using Multivariate Dynamic Time Warping. BIBM Yiyang Wang, Carleton Smith, Mingfei Shao, Li Huang, Jacob Furst, Daniela Raicu, Hongkyun Kim
2016	—	`conf`	Compression-based distance methods as an alternative to statistical methods for constructing phylogenetic trees. BIBM Mohamed El-Dirany, Forrest Wang, Jacob Furst, John Rogers, Daniela Raicu
2016	—	`conf`	Investigating the effects of majority voting on CAD systems: a LIDC case study. Computer-Aided Diagnosis Miguel Carrazza, Brendan Kennedy, Alexander Rasin, Jacob Furst, Daniela Raicu
2015	—	`conf`	An outlier filtering approach for machine sourced weak segmentations. Computer-Aided Diagnosis Elza Margolin, Jacob Furst, Daniela Raicu
2015	—	`conf`	Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium. ICDM Workshops Brendan Kennedy, Miguel Carrazza, Alex Rasin, Jacob Furst, Daniela Stan Raicu
2015	B	`conf`	Identifying the optimal segmentors for mass classification in mammograms. Image Processing Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu
2015	—	`conf`	Reducing annotation cost and uncertainty in computer-aided diagnosis through selective iterative classification. Computer-Aided Diagnosis Amelia Riely, Kyle Sablan, Thomas Xiaotao, Jacob Furst, Daniela Raicu
2015	J	`jnl`	Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis. J. Digit. Imaging Ronald Niehaus, Daniela Stan Raicu, Jacob Furst, Samuel G. Armato III
2014	C	`conf`	Machine-Sourced Segmentations vs. Expert-Sourced Segmentations for the Classification of Lung Nodules with Outlier Removal. ICMLA Mayra Alejandra Molina Puentes, Jacob Furst, Daniela Stan Raicu
2014	—	`conf`	Towards Achieving Diagnostic Consensus in Medical Image Interpretation. ICDM Workshops Mike Seidel, Alexander Rasin, Jacob Furst, Daniela Stan Raicu
2013	—	`conf`	Area under the Distance Threshold Curve as an Evaluation Measure for Probabilistic Classifiers. MLDM Sydney Williams, Michael Harris, Jacob Furst, Daniela Stan Raicu
2013	—	`conf`	Training industrial robots with gesture recognition techniques. Intelligent Robots and Computer Vision: Algorithms and Techniques Jennifer Piane, Daniela Raicu, Jacob Furst
2013	—	`conf`	Weak Segmentations and Ensemble Learning to Predict Semantic Ratings of Lung Nodules. ICMLA (2) Ethan Smith, Patrick Stein, Jacob Furst, Daniela Stan Raicu
2012	J	`jnl`	Building an ensemble system for diagnosing masses in mammograms. Int. J. Comput. Assist. Radiol. Surg. Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu
2012	J	`jnl`	Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database. J. Digit. Imaging Dmitry Zinovev, Yujie Duo, Daniela Stan Raicu, Jacob Furst, Samuel G. Armato III
2012	B	`conf`	Expanding diagnostically labeled datasets using content-based image retrieval. ICIP Anne-Marie Giuca, Kerry A. Seitz, Jacob Furst, Daniela Stan Raicu
2012	—	`conf`	Learning lung nodule similarity using a genetic algorithm. Computer-Aided Diagnosis Kerry A. Seitz, Anne-Marie Giuca, Jacob Furst, Daniela Raicu
2011	—	`conf`	A Texture-Based Probabilistic Approach for Lung Nodule Segmentation. ICIAR (2) Olga Zinoveva, Dmitry Zinovev, Stephen A. Siena, Daniela Stan Raicu, Jacob Furst, Samuel G. Armato III
2011	—	`conf`	A context-aware approach to content-based image retrieval of lung nodules. Computer-Aided Diagnosis Jacob V. Gardner, Daniela Raicu, Jacob Furst
2011	—	`conf`	Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation. ICMLA (2) Dmitry Zinovev, Jacob Furst, Daniela Stan Raicu
2011	B	`conf`	Building multiple weak segmentors for strong mass segmentation in mammogram. Image Processing Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu
2011	—	`conf`	Probabilistic lung nodule classification with belief decision trees. EMBC Dmitry Zinovev, Jonathan Feigenbaum, Jacob Furst, Daniela Raicu
2010	—	`conf`	A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC. Computer-Aided Diagnosis Stephen A. Siena, Olga Zinoveva, Daniela Raicu, Jacob Furst, Samuel G. Armato
2010	B	`conf`	Image enhancement and edge-based mass segmentation in mammogram. Image Processing Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu
2009	—	`conf`	Effect of Image Linearization on Normalized Compression Distance. FGIT-SIP Jonathan Mortensen, Jia Jie Wu, Jacob Furst, John Rogers, Daniela Raicu
2009	J	`jnl`	Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers. Algorithms Dmitry Zinovev, Daniela Stan Raicu, Jacob Furst, Samuel G. Armato III
2009	—	`conf`	Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms. MCBR-CDS Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu
2008	B	`conf`	A co-occurrence texture semi-invariance to direction, distance, and patient size. Image Processing Ruchaneewan Susomboon, Daniela Raicu, Jacob Furst, Timothy Ben Johnson
2008	—	`conf`	Combining Boundaries and Ratings from Multiple Observers for Predicting Lung Nodule Characteristics. BIOTECHNO Ekarin Varutbangkul, Vesna Mitrovic, Daniela Stan Raicu, Jacob Furst
2008	—	`conf`	Directional Invariance of Co-occurrence Matrices within the Liver. BIOTECHNO Carl Philips, Daniel Li, Daniela Stan Raicu, Jacob Furst
2007	B	`conf`	A comparison of texture models for automatic liver segmentation. Image Processing Mailan Pham, Ruchaneewan Susomboon, Tim Disney, Daniela Raicu, Jacob Furst
2007	—	`conf`	Automated image analysis of noisy microarrays. VISAPP (1) Sharon I. Greenblum, Max Krucoff, Jacob Furst, Daniela Stan Raicu
2007	—	`conf`	Predictive Data Mining for Lung Nodule Interpretation. ICDM Workshops William H. Horsthemke, Ekarin Varutbangkul, Daniela Stan Raicu, Jacob Furst
2007	B	`conf`	Semantics and image content integration for pulmonary nodule interpretation in thoracic computed tomography. Image Processing Daniela Stan Raicu, Ekarin Varutbangkul, Janie G. Cisneros, Jacob Furst, David S. Channin, Samuel G. Armato
2006	A*	`conf`	Automatic Single-Organ Segmentation in Computed Tomography Images. ICDM Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob Furst, David S. Channin
2006	B	`conf`	Evaluation of binning strategies for tissue classification in computed tomography images. Image Processing Stefanie Handrick, Bahare Naimipour, Daniela Raicu, Jacob Furst
2005	B	`conf`	Texture-Based Image Retrieval for Computerized Tomography Databases. CBMS Winnie Tsang, Andrew Corboy, Ken Lee, Daniela Stan Raicu, Jacob Furst