Daniel L. Rubin
Orcid: 0000-0001-5057-4369
According to our database1,
Daniel L. Rubin
authored at least 223 papers
between 1999 and 2024.
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Bibliography
2024
IEEE Trans. Artif. Intell., April, 2024
npj Digit. Medicine, 2024
2023
Clinical outcome prediction using observational supervision with electronic health records and audit logs.
J. Biomed. Informatics, November, 2023
Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks.
IEEE J. Biomed. Health Informatics, April, 2023
Comput. Biol. Medicine, March, 2023
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.
IEEE Trans. Medical Imaging, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models.
Proceedings of the Conference on Health, Inference, and Learning, 2023
2022
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data.
Frontiers Neuroinformatics, August, 2022
IEEE J. Biomed. Health Informatics, 2022
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell., 2022
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports.
J. Digit. Imaging, 2022
A weakly supervised model for the automated detection of adverse events using clinical notes.
J. Biomed. Informatics, 2022
Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models.
CoRR, 2022
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models.
CoRR, 2022
TRUST-LAPSE: An Explainable & Actionable Mistrust Scoring Framework for Model Monitoring.
CoRR, 2022
CoRR, 2022
Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI.
CoRR, 2022
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission.
CoRR, 2022
Supervised Machine Learning Algorithm for Detecting Consistency between Reported Findings and the Conclusions of Mammography Reports.
CoRR, 2022
Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma.
J. Biomed. Semant., 2022
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity.
Proceedings of the Machine Learning for Healthcare Conference, 2022
Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-task Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Self-attention Capsule Network for Tissue Classification in Case of Challenging Medical Image Statistics.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the AMIA 2022, 2022
2021
Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation.
IEEE Trans. Medical Imaging, 2021
Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study.
npj Digit. Medicine, 2021
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell., 2021
Medical Image Anal., 2021
Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset.
J. Biomed. Informatics, 2021
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR.
CoRR, 2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.
CoRR, 2021
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging.
CoRR, 2021
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging.
CoRR, 2021
CoRR, 2021
COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs.
CoRR, 2021
Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training.
CoRR, 2021
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021
A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
MS-CAM: Multi-Scale Class Activation Maps for Weakly-Supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images.
IEEE J. Biomed. Health Informatics, 2020
IEEE J. Biomed. Health Informatics, 2020
Weak supervision as an efficient approach for automated seizure detection in electroencephalography.
npj Digit. Medicine, 2020
Advancing Semantic Interoperability of Image Annotations: Automated Conversion of Non-standard Image Annotations in a Commercial PACS to the Annotation and Image Markup.
J. Digit. Imaging, 2020
J. Digit. Imaging, 2020
Toward Data-Driven Learning Healthcare Systems in Interventional Radiology: Implementation to Evaluate Venous Stent Patency.
J. Digit. Imaging, 2020
Corrigendum to: Accounting for data variability in multi-institutional distributed deep learning for medical imaging.
J. Am. Medical Informatics Assoc., 2020
Accounting for data variability in multi-institutional distributed deep learning for medical imaging.
J. Am. Medical Informatics Assoc., 2020
Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy.
CoRR, 2020
The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions.
CoRR, 2020
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset.
CoRR, 2020
Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization.
CoRR, 2020
Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Putting the data before the algorithm in big data addressing personalized healthcare.
npj Digit. Medicine, 2019
Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm.
J. Digit. Imaging, 2019
Automatic inference of BI-RADS final assessment categories from narrative mammography report findings.
J. Biomed. Informatics, 2019
Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study.
CoRR, 2019
MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation.
CoRR, 2019
Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning.
CoRR, 2019
Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis.
CoRR, 2019
Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI.
CoRR, 2019
A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers.
CoRR, 2019
Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging.
Comput. Methods Programs Biomed., 2019
Automated geographic atrophy segmentation for SD-OCT images based on two-stage learning model.
Comput. Biol. Medicine, 2019
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.
Artif. Intell. Medicine, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
A lung graph model for the classification of interstitial lung diseases on CT images.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
A Multi-Scale Deep Convolutional Neural Network For Joint Segmentation And Prediction Of Geographic Atrophy In SD-OCT Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Detecting unanticipated actions downstream from clinical decision support: a data mining approach.
Proceedings of the AMIA 2019, 2019
Prediction of Imaging Outcomes from Electronic Health Records: Pulmonary Embolism Case-Study.
Proceedings of the AMIA 2019, 2019
2018
Quantitative Image Feature Engine (QIFE): an Open-Source, Modular Engine for 3D Quantitative Feature Extraction from Volumetric Medical Images.
J. Digit. Imaging, 2018
J. Digit. Imaging, 2018
Automatic information extraction from unstructured mammography reports using distributed semantics.
J. Biomed. Informatics, 2018
Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs.
J. Biomed. Informatics, 2018
Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort.
J. Biomed. Informatics, 2018
J. Am. Medical Informatics Assoc., 2018
J. Am. Medical Informatics Assoc., 2018
J. Am. Medical Informatics Assoc., 2018
CoRR, 2018
Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives.
CoRR, 2018
Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma.
Comput. Medical Imaging Graph., 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Unraveling the Molecular Basis of Lung Adenocarcinoma Dedifferentiation and Prognosis by Integrating Omics and Histopathology.
Proceedings of the AMIA 2018, 2018
An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing.
Proceedings of the AMIA 2018, 2018
A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization.
Proceedings of the AMIA 2018, 2018
2017
Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture Analysis.
IEEE Trans. Medical Imaging, 2017
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound.
IEEE J. Biomed. Health Informatics, 2017
IEEE Trans. Image Process., 2017
Robust noise region-based active contour model via local similarity factor for image segmentation.
Pattern Recognit., 2017
Medical Image Anal., 2017
Building and Querying RDF/OWL Database of Semantically Annotated Nuclear Medicine Images.
J. Digit. Imaging, 2017
Computerized Prediction of Radiological Observations Based on Quantitative Feature Analysis: Initial Experience in Liver Lesions.
J. Digit. Imaging, 2017
J. Digit. Imaging, 2017
Dynamic strategy for personalized medicine: An application to metastatic breast cancer.
J. Biomed. Informatics, 2017
Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors.
CoRR, 2017
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes.
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Standardized communications of quantitative image analysis results using DICOM: Establishing interoperability through outreach and community engagement.
Proceedings of the Summit on Clinical Research Informatics, 2017
Predicting Non-Small Cell Lung Cancer Diagnosis and Prognosis by Fully Automated Microscopic Pathology Image Features.
Proceedings of the AMIA 2017, 2017
Proceedings of the AMIA 2017, 2017
Proceedings of the AMIA 2017, 2017
Proceedings of the AMIA 2017, 2017
Proceedings of the AMIA 2017, 2017
2016
IEEE Trans. Medical Imaging, 2016
Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions.
IEEE J. Biomed. Health Informatics, 2016
Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles.
Medical Image Anal., 2016
Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data.
J. Biomed. Informatics, 2016
Using automatically extracted information from mammography reports for decision-support.
J. Biomed. Informatics, 2016
Computerized Multiparametric MR image Analysis for Prostate Cancer Aggressiveness-Assessment.
CoRR, 2016
2015
Application of Improved Homogeneity Similarity-Based Denoising in Optical Coherence Tomography Retinal Images.
J. Digit. Imaging, 2015
Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS.
J. Biomed. Informatics, 2015
Automatic abstraction of imaging observations with their characteristics from mammography reports.
J. Am. Medical Informatics Assoc., 2015
Optimized steerable wavelets for texture analysis of lung tissue in 3-D CT: Classification of usual interstitial pneumonia.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
3D Riesz-wavelet based Covariance descriptors for texture classification of lung nodule tissue in CT.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the Multimodal Retrieval in the Medical Domain, 2015
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015
Probabilistic visual search for masses within mammography images using deep learning.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Polychromatic X-Ray Absorptiometry to Quantify Breast Density Volume, Ratio and their Associated Breast Cancer Risk in Full-Digital Mammography.
Proceedings of the AMIA 2015, 2015
Proceedings of the AMIA 2015, 2015
Automated Grading of Gliomas using Deep Learning in Digital Pathology Images: A modular approach with ensemble of convolutional neural networks.
Proceedings of the AMIA 2015, 2015
2014
Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT.
IEEE Trans. Medical Imaging, 2014
On combining image-based and ontological semantic dissimilarities for medical image retrieval applications.
Medical Image Anal., 2014
The National Cancer Informatics Program (NCIP) Annotation and Image Markup (AIM) Foundation Model.
J. Digit. Imaging, 2014
A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations.
J. Biomed. Informatics, 2014
Comput. Vis. Image Underst., 2014
CoRR, 2014
Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint.
Comput. Biol. Medicine, 2014
J. Biomed. Semant., 2014
Extracting Imaging Observation Entities in Mammography Reports.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014
A semantic framework for the retrieval of similar radiological images based on medical annotations.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Utilisation de relations ontologiques pour la comparaison d'images décrites par des annotations sémantiques.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014
Proceedings of the AMIA 2014, 2014
2013
Medical Image Anal., 2013
ACR-AAPM-SIIM Practice Guideline for Determinants of Image Quality in Digital Mammography.
J. Digit. Imaging, 2013
J. Digit. Imaging, 2013
Quantitative Imaging Biomarker Ontology (QIBO) for Knowledge Representation of Biomedical Imaging Biomarkers.
J. Digit. Imaging, 2013
Erratum to: Quantitative Imaging Biomarker Ontology (QIBO) for Knowledge Representation of Biomedical Imaging Biomarkers.
J. Digit. Imaging, 2013
Research and applications: Dynamic contrast-enhanced MRI-based biomarkers of therapeutic response in triple-negative breast cancer.
J. Am. Medical Informatics Assoc., 2013
Comput. Methods Programs Biomed., 2013
Image patch-based method for automated classification and detection of focal liver lesions on CT.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Proceedings of the Informatics, 2013
Classifying Benign and Malignant Lung Diseases by Applying Machine Learning Methods to Microscopic Pathology Images.
Proceedings of the AMIA 2013, 2013
2012
A Comprehensive Descriptor of Shape: Method and Application to Content-Based Retrieval of Similar Appearing Lesions in Medical Images.
J. Digit. Imaging, 2012
Automatic classification of mammography reports by BI-RADS breast tissue composition class.
J. Am. Medical Informatics Assoc., 2012
Proceedings of the 21st IEEE International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2012
Proceedings of the AMIA 2012, 2012
2011
Evaluation of Negation and Uncertainty Detection and its Impact on Precision and Recall in Search.
J. Digit. Imaging, 2011
Ontology-Assisted Analysis of Web Queries to Determine the Knowledge Radiologists Seek.
J. Digit. Imaging, 2011
J. Digit. Imaging, 2011
J. Digit. Imaging, 2011
A practical method for transforming free-text eligibility criteria into computable criteria.
J. Biomed. Informatics, 2011
The Biomedical Resource Ontology (BRO) to enable resource discovery in clinical and translational research.
J. Biomed. Informatics, 2011
On the Feasibility of Predicting Radiological Observations from Computational Imaging Features of Liver Lesions in CT Scans.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011
A Scalable Reference Standard of Visual Similarity for a Content-Based Image Retrieval System.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011
2010
IEEE Trans. Biomed. Eng., 2010
Frontiers Neuroinformatics, 2010
2009
Nucleic Acids Res., 2009
Research Paper: Automated Semantic Indexing of Figure Captions to Improve Radiology Image Retrieval.
J. Am. Medical Informatics Assoc., 2009
Annotation and Image Markup: Accessing and Interoperating with the Semantic Content in Medical Imaging.
IEEE Intell. Syst., 2009
BMC Bioinform., 2009
Computational neuroanatomy: ontology-based representation of neural components and connectivity.
BMC Bioinform., 2009
Proceedings of the AMIA 2009, 2009
2008
PLoS Comput. Biol., 2008
The NIFSTD and BIRNLex Vocabularies: Building Comprehensive Ontologies for Neuroscience.
Neuroinformatics, 2008
J. Digit. Imaging, 2008
J. Biomed. Informatics, 2008
Proceedings of the Poster and Demonstration Session at the 7th International Semantic Web Conference (ISWC2008), 2008
Proceedings of the AMIA 2008, 2008
FMA-RadLex: An Application Ontology of Radiological Anatomy derived from the Foundational Model of Anatomy Reference Ontology.
Proceedings of the AMIA 2008, 2008
A Bayesian Classifier for Differentiating Benign versus Malignant Thyroid Nodules using Sonographic Features.
Proceedings of the AMIA 2008, 2008
Proceedings of the AMIA 2008, 2008
Proceedings of the Semantic Scientific Knowledge Integration, 2008
Proceedings of the Symbiotic Relationships between Semantic Web and Knowledge Engineering, 2008
2007
BMC Bioinform., 2007
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007
Proceedings of the Data Integration in the Life Sciences, 4th International Workshop, 2007
Proceedings of the AMIA 2007, 2007
2006
Artif. Intell. Medicine, 2006
Proceedings of the AMIA 2006, 2006
Proceedings of the AMIA 2006, 2006
2005
Application of Information Technology: A Statistical Approach to Scanning the Biomedical Literature for Pharmacogenetics Knowledge.
J. Am. Medical Informatics Assoc., 2005
Research Paper: Using Petri Net Tools to Study Properties and Dynamics of Biological Systems.
J. Am. Medical Informatics Assoc., 2005
Protégé-OWL: Creating Ontology-Driven Reasoning Applications with the Web Ontology Language.
Proceedings of the AMIA 2005, 2005
Use of Description Logic Classification to Reason about Consequences of Penetrating Injuries.
Proceedings of the AMIA 2005, 2005
Challenges in Converting Frame-Based Ontology into OWL: the Foundational Model of Anatomy Case-Study.
Proceedings of the AMIA 2005, 2005
2004
IEEE Intell. Syst., 2004
Proceedings of the MEDINFO 2004, 2004
Using a Bayesian Network to Predict the Probability and Type of Breast Cancer Represented by Microcalcifications on Mammography.
Proceedings of the MEDINFO 2004, 2004
Improving a Bayesian network's ability to predict the probability of malignancy of microcalcifications on mammography.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
2002
Automating Data Acquisition into Ontologies from Pharmacogenetics Relational Data Sources Using Declarative Object Definitions and XML.
Proceedings of the 7th Pacific Symposium on Biocomputing, 2002
Proceedings of the 7th Pacific Symposium on Biocomputing, 2002
Representing genetic sequence data for pharmacogenomics: an evolutionary approach using ontological and relational models.
Proceedings of the Tenth International Conference on Intelligent Systems for Molecular Biology, 2002
2000
Proceedings of the AMIA 2000, 2000
1999
Proceedings of the AMIA 1999, 1999