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Computer Science

D-Index
82
Citations
26686
World Ranking
962
National Ranking
520

Overview

Joel H. Saltz is affiliated with Stony Brook University in the United States. Their research spans significant contributions in medicine and computer science, with a particular focus on applications of artificial intelligence and medical imaging.

The main fields of study covered in their work include:

  • Medicine
  • Computer Science

Within these broader areas, their subfields of expertise include:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Oncology
  • Biophysics

Joel H. Saltz's research themes and topics concentrate on:

  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Cell Image Analysis Techniques
  • COVID-19 Clinical Research Studies
  • Digital Imaging for Blood Diseases
  • Long-Term Effects of COVID-19
  • Machine Learning in Healthcare

Their publication record includes articles in notable venues such as:

  • arXiv (Cornell University)
  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of the American Medical Informatics Association
  • Cancer Research

Significant recent papers authored or co-authored by Joel H. Saltz include:

  • AI in Medical Imaging Informatics: Current Challenges and Future Directions, 2020, IEEE Journal of Biomedical and Health Informatics
  • The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment, 2020, Journal of the American Medical Informatics Association
  • Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative, 2021, JAMA Network Open
  • Characterizing Long COVID: Deep Phenotype of a Complex Condition, 2021, EBioMedicine
  • Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer, 2020, npj Breast Cancer

Frequent collaborators in their research efforts include:

  • Tahsin Kurç
  • Rajarsi Gupta
  • Christopher G. Chute
  • Mary Saltz
  • Melissa Haendel

Best Publications

  • Analysis of the clustering properties of the Hilbert space-filling curve

    B. Moon;H.V. Jagadish;C. Faloutsos;J.H. Saltz

  • Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images.

    Joel Saltz;Rajarsi Gupta;Le Hou;Tahsin Kurc

  • Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification

    Le Hou;Dimitris Samaras;Tahsin M. Kurc;Yi Gao

  • Hadoop GIS: a high performance spatial data warehousing system over mapreduce

    Ablimit Aji;Fusheng Wang;Hoang Vo;Rubao Lee

  • Caveats for the use of operational electronic health record data in comparative effectiveness research.

    William R. Hersh;Mark G. Weiner;Peter J. Embi;Judith R. Logan

  • Active disks: programming model, algorithms and evaluation

    Anurag Acharya;Mustafa Uysal;Joel Saltz

  • AI in Medical Imaging Informatics: Current Challenges and Future Directions

    Andreas S. Panayides;Amir Amini;Nenad D. Filipovic;Ashish Sharma

  • The National COVID Cohort Collaborative (N3C): Rationale, Design, Infrastructure, and Deployment.

    Melissa A Haendel;Melissa A Haendel;Christopher G Chute;Tellen D Bennett;David A Eichmann

  • MR imaging predictors of molecular profile and survival: Multi-institutional study of the TCGA glioblastoma data set

    David A. Gutman;Lee A.D. Cooper;Scott N. Hwang;Chad A. Holder

  • Run-time parallelization and scheduling of loops

    J.H. Saltz;R. Mirchandaney;K. Crowley

  • Communication optimizations for irregular scientific computations on distributed memory architectures

    Raja Das;Mustafa Uysal;Joel Saltz;Yuan-Shin Hwang

  • Sumatra: A Language for Resource-Aware Mobile Programs

    Anurag Acharya;M. Ranganathan;Joel H. Saltz

  • Run-time scheduling and execution of loops on message passing machines

    Joel Saltz;Kathleen Crowley;Kathleen Crowley;Ravi Mirchandaney;Ravi Mirchandaney;Harry Berryman

  • Methods for Segmentation and Classification of Digital Microscopy Tissue Images.

    Quoc Dang Vu;Simon Graham;Tahsin Kurc;Minh Nguyen Nhat To

  • Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development

    O. Sertel;J. Kong;H. Shimada;U. V. Catalyurek

  • Distributed processing of very large datasets with DataCutter

    Michael D. Beynon;Tahsin Kurc;Umit Catalyurek;Chialin Chang

  • Twenty Years of Digital Pathology: An Overview of the Road Travelled, What is on the Horizon, and the Emergence of Vendor-Neutral Archives.

    Liron Pantanowitz;Ashish Sharma;Alexis B Carter;Tahsin Kurc

  • PanCancer insights from The Cancer Genome Atlas: the pathologist's perspective.

    Lee Alex Donald Cooper;Lee Alex Donald Cooper;Elizabeth G. Demicco;Joel H. Saltz;Reid T. Powell

  • Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative.

    Tellen D. Bennett;Richard A. Moffitt;Janos G. Hajagos;Benjamin Amor

  • DataCutter: Middleware for Filtering Very Large Scientific Datasets on Archival Storage Systems.

    Michael D. Beynon;Renato Ferreira;Tahsin M. Kurç;Alan Sussman

  • Digital dynamic telepathology--the Virtual Microscope.

    Asmara Afework;Michael D. Beynon;Fabian E. Bustamante;Soon Cho

  • Histopathological Image Analysis Using Model-Based Intermediate Representations and Color Texture: Follicular Lymphoma Grading

    Olcay Sertel;Jun Kong;Umit V. Catalyurek;Gerard Lozanski

  • Run-Time Parallelization and Scheduling of Loops. Revision

    Joel H. Saltz;Ravi Mirchandaney;Kay Crowley

Frequent Co-Authors

Tahsin Kurc
Tahsin Kurc Stony Brook University
Ümit V. Çatalyürek
Ümit V. Çatalyürek Georgia Institute of Technology
Alan Sussman
Alan Sussman University of Maryland, College Park
Lee Cooper
Lee Cooper Northwestern University
Fusheng Wang
Fusheng Wang Stony Brook University
Dimitris Samaras
Dimitris Samaras Stony Brook University
Metin N. Gurcan
Metin N. Gurcan Wake Forest University
Bongki Moon
Bongki Moon Seoul National University
P. Sadayappan
P. Sadayappan University of Utah
Carlos S. Moreno
Carlos S. Moreno Emory University

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