Physician
Pathology
Dr. Joel H. Saltz, MD
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Joel Saltz is an expert in the field of Pathology. He went to medical school at Duke University School of Medicine. Duke University School of Medicine is a one of the best medicals schools. Duke University School of Medicine is ranked 8 in research and 29 in primary care medicine Joel H. Saltz has written publications. He has 76 publications published with PubMed. The lastest publication is: 'Digital dynamic telepathology--the Virtual Microscope.'
Publications
- NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures.
- GlycoPattern: A Web Platform for Glycan Array Mining.
- Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU: A Case Study from Microscopy Image Analysis.
- Parallel content-based sub-image retrieval using hierarchical searching.
- Semantically Interoperable XML Data.
- Caveats for the use of operational electronic health record data in comparative effectiveness research.
- Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data.
- Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines.
- Liver steatosis assessment: Correlations among pathology, radiology, clinical data and automated image analysis software.
- Future vision for the quality assurance of oncology clinical trials.
- Enabling Ontology Based Semantic Queries in Biomedical Database Systems.
- MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set.
- The Analytic Information Warehouse (AIW): A platform for analytics using electronic health record data.
- Leveraging derived data elements in data analytic models for understanding and predicting hospital readmissions.
- Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems.
- Digital Pathology: Data-Intensive Frontier in Medical Imaging: Health-information sharing, specifically of digital pathology, is the subject of this paper which discus...
- Integrative, Multimodal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images, and Clinical Outcomes.
- ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology.
- MORPHOLOGICAL SIGNATURES AND GENOMIC CORRELATES IN GLIOBLASTOMA.
- An integrative approach for in silico glioma research.
- The proneural molecular signature is enriched in oligodendrogliomas and predicts improved survival among diffuse gliomas.
- A caGRID-ENABLED, LEARNING BASED IMAGE SEGMENTATION METHOD FOR HISTOPATHOLOGY SPECIMENS.
- A new model-based estimation of ellipses for object representation.
- Computer-assisted grading of neuroblastic differentiation.
- Large-scale biomedical image analysis in grid environments.
- Leveraging an existing data warehouse to annotate workflow models for operations research and optimization.
- Informatics in radiology: GridCAD: grid-based computer-aided detection system.
- Integrating heterogeneous rules-engine technologies with caGrid.
- A framework for workflow-based clinical research billing disambiguation.
- An XML-based system for synthesis of data from disparate databases.
- Prototype integration of protein electrophoresis laboratory results in an information warehouse to improve workflow and data analysis.
- A grid-based image archival and analysis system.
- Pharmacokinetic mapping of breast tumors: a new statistical analysis technique for dynamic magnetic resonance imaging.
- Stroma classification for neuroblastoma on graphics processors.
- Temporal analysis of tumor heterogeneity and volume for cervical cancer treatment outcome prediction: preliminary evaluation.
- Tensor classification of N-point correlation function features for histology tissue segmentation.
- Reconstruction of cellular biological structures from optical microscopy data.
- An imaging workflow for characterizing phenotypical change in large histological mouse model datasets.
- A roadmap for caGrid, an enterprise Grid architecture for biomedical research.
- Computerized pathological image analysis for neuroblastoma prognosis.
- The Cancer Biomedical Informatics Grid (caBIG) Security Infrastructure.
- caGrid 1.0: a Grid enterprise architecture for cancer research.
- VirtualPACS--a federating gateway to access remote image data resources over the grid.
- Detection and visualization of surface-pockets to enable phenotyping studies.
- Image analysis for neuroblastoma classification: segmentation of cell nuclei.
- A knowledge-anchored integrative image search and retrieval system.
- caGrid 1.0: an enterprise Grid infrastructure for biomedical research.
- Sharing data and analytical resources securely in a biomedical research Grid environment.
- An informatics framework for testing data integrity and correctness of federated biomedical databases.
- A Temporal Abstraction-based Extract, Transform and Load Process for Creating Registry Databases for Research.
- In silico analysis of nuclei in glioblastoma using large-scale microscopy images improves prediction of treatment response.
- Towards building computerized image analysis framework for nucleus discrimination in microscopy images of diffuse glioma.
- A data model and database for high-resolution pathology analytical image informatics.
- Quality of radiotherapy reporting in randomized controlled trials of Hodgkin's lymphoma and non-Hodgkin's lymphoma: in regard to Bekelman and Yahalom (Int J Radiat Onc...
- HIV-K: an integrative knowledge base for semantic integration of AIDS-related malignancy data and treatment outcomes.
- Digital dynamic telepathology--the Virtual Microscope.
- The Virtual Microscope.
- Development of a universal connectivity and data management system.
- A graphical tool for ad hoc query generation.
- Redactable and Auditable Data Access for Bioinformatics Research.
- Machine-based morphologic analysis of glioblastoma using whole-slide pathology images uncovers clinically relevant molecular correlates.
- An application of a service-oriented system to support array annotation in custom chip design for epigenomic analysis.
- An integrative ChIP-chip and gene expression profiling to model SMAD regulatory modules.
- Supercomputers and biological sequence comparison algorithms.
- Classification of small cell lung cancer and pulmonary carcinoid by gene expression profiles.
- Digital pathology--the big picture.
- Order sets utilization in a clinical order entry system.
- Proteomic patterns analysis: a new era of screening cancers.
- Impact of CPOE order sets on lab orders.
- GridIMAGE: a novel use of grid computing to support interactive human and computer-assisted detection decision support.
- Preventing signal degradation during elastic matching of noisy DCE-MR eye images.
- caGrid: design and implementation of the core architecture of the cancer biomedical informatics grid.
- Rb is critical in a mammalian tissue stem cell population.
- Distinct proteome features of plasma microparticles.
- Information warehouse as a tool to analyze Computerized Physician Order Entry order set utilization: opportunities for improvement.
Schools
Duke University
Doctors Specialties
- Clinical Pathology
- Pathology
Accepted Insurances
Education
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Duke University School of Medicine
Hospital
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Stony Brook University Medical Center
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