Joel Saltz

Joel Saltz

Stony Brook University

H-index: 84

North America-United States

About Joel Saltz

Joel Saltz, With an exceptional h-index of 84 and a recent h-index of 49 (since 2020), a distinguished researcher at Stony Brook University, specializes in the field of High End Computing, Systems Software, Biomedical Informatics, Pathology Informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

PathLDM: Text conditioned latent diffusion model for histopathology

Abstract B041: Keratin 17 excludes CD8-positive T cells and recruits CD163-positive macrophages in pancreatic ductal adenocarcinoma

Keratin 17 modulates the immune topography of pancreatic cancer

Open and reusable deep learning for pathology with WSInfer and QuPath

An Intelligent Search & Retrieval System (IRIS) and Clinical and Research Repository for Decision Support Based on Machine Learning and Joint Kernel-based Supervised Hashing

Training pathologists to assess stromal tumour‐infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research

Reproducible Reporting of the Collection and Evaluation of Annotations for Artificial Intelligence Models

Abstract B082: Early risk stratification of ER+/HER2–breast cancer patients using digital pathology and multi-task, weakly-supervised deep learning

Joel Saltz Information

University

Position

SUNY Distinguished Professor and Chair of Biomedical Informatics

Citations(all)

33405

Citations(since 2020)

13928

Cited By

23770

hIndex(all)

84

hIndex(since 2020)

49

i10Index(all)

432

i10Index(since 2020)

148

Email

University Profile Page

Stony Brook University

Google Scholar

View Google Scholar Profile

Joel Saltz Skills & Research Interests

High End Computing

Systems Software

Biomedical Informatics

Pathology Informatics

Top articles of Joel Saltz

Title

Journal

Author(s)

Publication Date

PathLDM: Text conditioned latent diffusion model for histopathology

Srikar Yellapragada

Alexandros Graikos

Prateek Prasanna

Tahsin Kurc

Joel Saltz

...

2024

Abstract B041: Keratin 17 excludes CD8-positive T cells and recruits CD163-positive macrophages in pancreatic ductal adenocarcinoma

Cancer Research

Lyanne Oblein

Sruthi Babu

Mariana Torrente-Goncalves

Lucia Roa

Michael Horowitz

...

2024/1/16

Keratin 17 modulates the immune topography of pancreatic cancer

Lyanne A Delgado-Coka

Michael Horowitz

Mariana Torrente-Goncalves

Lucia Roa-Peña

Cindy V Leiton

...

2024/2/20

Open and reusable deep learning for pathology with WSInfer and QuPath

NPJ Precision Oncology

Jakub R Kaczmarzyk

Alan O’Callaghan

Fiona Inglis

Swarad Gat

Tahsin Kurc

...

2024/1/10

An Intelligent Search & Retrieval System (IRIS) and Clinical and Research Repository for Decision Support Based on Machine Learning and Joint Kernel-based Supervised Hashing

Cancer Informatics

David J Foran

Wenjin Chen

Tahsin Kurc

Rajarshi Gupta

Jakub Roman Kaczmarzyk

...

2024/2

Training pathologists to assess stromal tumour‐infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research

Amy Ly

Victor Garcia

Kim RM Blenman

Anna Ehinger

Katherine Elfer

...

2024

Reproducible Reporting of the Collection and Evaluation of Annotations for Artificial Intelligence Models

Modern Pathology

Katherine Elfer

Emma Gardecki

Victor Garcia

Amy Ly

Evangelos Hytopoulos

...

2024/4/1

Abstract B082: Early risk stratification of ER+/HER2–breast cancer patients using digital pathology and multi-task, weakly-supervised deep learning

Cancer Research

Jakub R Kaczmarzyk

Luke A Torre-Healy

Richard A Moffitt

Rajarsi Gupta

Alina M Hamilton

...

2024/2/1

Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national COVID cohort collaborative (N3C) experience

Learning Health Systems

Umberto Tachinardi

Shaun J Grannis

Sam G Michael

Leonie Misquitta

Jayme Dahlin

...

2024/1

Few Shot Hematopoietic Cell Classification

Vu Nguyen

Prantik Howlader

Le Hou

Dimitris Samaras

Rajarsi R Gupta

...

2024/1/23

Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning

Medical Image Analysis

Saarthak Kapse

Srijan Das

Jingwei Zhang

Rajarsi R Gupta

Joel Saltz

...

2024/4/1

COVID-19 outcomes in persons with hemophilia: results from a US-based national COVID-19 surveillance registry

Journal of thrombosis and haemostasis

Anjali Sharathkumar

Linder Wendt

Chris Ortman

Ragha Srinivasan

Christopher G Chute

...

2024/1/1

Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer

Chowdhury Arif Jahangir

David B Page

Glenn Broeckx

Claudia A Gonzalez

Caoimbhe Burke

...

2024/1/17

Decoding the visual attention of pathologists to reveal their level of expertise

arXiv preprint arXiv:2403.11107

Souradeep Chakraborty

Dana Perez

Paul Friedman

Natallia Sheuka

Constantin Friedman

...

2024/3/25

Author Correction: Federated learning enables big data for rare cancer boundary detection

Nature communications

Sarthak Pati

Ujjwal Baid

Brandon Edwards

Micah Sheller

Shih-Han Wang

...

2023/1/26

Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images

Shahira Abousamra

Danielle Fassler

Jiachen Yao

Rajarsi R Gupta

Tahsin Kurc

...

2023/4/4

Precise location matching improves dense contrastive learning in digital pathology

Jingwei Zhang

Saarthak Kapse

Ke Ma

Prateek Prasanna

Maria Vakalopoulou

...

2023/6/8

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

arXiv preprint arXiv:2312.15010

Saarthak Kapse*

Pushpak Pati*

Srijan Das

Jingwei Zhang

Chao Chen

...

2023/12/22

Investigation of commonly used aortic aneurysm growth rate metrics: Comparing their suitability for clinical and research applications

Kayley Abell-Hart

Janos Hajagos

Victor Garcia

James Kaan

Wei Zhu

...

2023/8/11

Dynamic Data-Driven Application Systems for Reservoir Simulation-Based Optimization: Lessons Learned and Future Trends

M Parashar

Tahsin Kurc

H Klie

MF Wheeler

Joel H Saltz

...

2023/9/6

See List of Professors in Joel Saltz University(Stony Brook University)

Co-Authors

H-index: 130
Ashish Sharma

Ashish Sharma

Emory & Henry College

H-index: 116
Daniel J Brat

Daniel J Brat

North Western University

H-index: 63
Dimitris Samaras

Dimitris Samaras

Stony Brook University

H-index: 61
David Gutman

David Gutman

Emory & Henry College

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