Liron Pantanowitz

Liron Pantanowitz

University of Pittsburgh

H-index: 69

North America-United States

About Liron Pantanowitz

Liron Pantanowitz, With an exceptional h-index of 69 and a recent h-index of 47 (since 2020), a distinguished researcher at University of Pittsburgh, specializes in the field of Pathology, Informatics, Artificial Intelligence.

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

Method for object detection using hierarchical deep learning

Contributions From the University of Michigan 2022 New Frontiers in Pathology Conference

Changing Digital and Telecytology Practices post COVID-19 Comparing ASC survey results from 2016 to 2023

Automated Quantitative CD8+ Tumor-Infiltrating Lymphocytes and Tumor Mutation Burden as Independent Biomarkers in Melanoma Patients Receiving Front-Line Anti-PD-1 Immunotherapy

A preliminary investigation into search and matching for tumor discrimination in world health organization breast taxonomy using deep networks

Benchmarking cytology support for ROSE during endoscopic and bronchoscopic procedures

Artificial intelligence–based algorithms for the diagnosis of prostate cancer: A systematic review

The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force.

Liron Pantanowitz Information

University

Position

Pathologist, UPMC

Citations(all)

19656

Citations(since 2020)

10373

Cited By

12774

hIndex(all)

69

hIndex(since 2020)

47

i10Index(all)

361

i10Index(since 2020)

226

Email

University Profile Page

University of Pittsburgh

Google Scholar

View Google Scholar Profile

Liron Pantanowitz Skills & Research Interests

Pathology

Informatics

Artificial Intelligence

Top articles of Liron Pantanowitz

Title

Journal

Author(s)

Publication Date

Method for object detection using hierarchical deep learning

2024/2/6

Contributions From the University of Michigan 2022 New Frontiers in Pathology Conference

Maria Westerhoff

Lauren B Smith

Liron Pantanowitz

2024/4/1

Changing Digital and Telecytology Practices post COVID-19 Comparing ASC survey results from 2016 to 2023

Journal of the American Society of Cytopathology

Heather I Chen-Yost

Catherine Bammert

Wei Hao

Jonas J Heymann

Diana Murro Lin

...

2024/2/22

Automated Quantitative CD8+ Tumor-Infiltrating Lymphocytes and Tumor Mutation Burden as Independent Biomarkers in Melanoma Patients Receiving Front-Line Anti-PD-1 Immunotherapy

The Oncologist

Dylan Fortman

Arivarasan Karunamurthy

Douglas Hartman

Hong Wang

Lindsey Seigh

...

2024/4/24

A preliminary investigation into search and matching for tumor discrimination in world health organization breast taxonomy using deep networks

Modern Pathology

Abubakr Shafique

Ricardo Gonzalez

Liron Pantanowitz

Puay Hoon Tan

Alberto Machado

...

2024/2/1

Benchmarking cytology support for ROSE during endoscopic and bronchoscopic procedures

Journal of the American Society of Cytopathology

Alayna Anderson

Edward A Monaco IV

Idorenyin F Udoeyo

Jackie Cuda

Michele Zelonis

...

2024/3/22

Artificial intelligence–based algorithms for the diagnosis of prostate cancer: A systematic review

Stefano Marletta

Albino Eccher

Filippo Maria Martelli

Nicola Santonicco

Ilaria Girolami

...

2024/2/21

The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force.

Journal of the American Society of Cytopathology

David Kim

Michael J Thrall

Pamela Michelow

Fernando C Schmitt

Philippe R Vielh

...

2024/4/16

In loving memory of Professor Gladwyn Leiman, MBBCh, FIAC, FRCPath

Journal of the American Society of Cytopathology

Ruth L Katz

Liron Pantanowitz

Pamela M Michelow

2024/1/1

Response to Letter to the Editor:“Remote Placental Sign-Out: What Digital Pathology Can Offer for Pediatric Pathologists”

Pediatric and Developmental Pathology

Stefano Marletta

Liron Pantanowitz

Nicola Santonicco

Alessandro Caputo

Emma Bragantini

...

2024/3/11

Utility of artificial intelligence in a binary classification of soft tissue tumors

Journal of Pathology Informatics

Jing Di

Caylin Hickey

Cody Bumgardner

Mustafa Yousif

Mauricio Zapata

...

2024/2/15

The application of artificial intelligence to thyroid nodule assessment

Paola Chiara Rizzo

Stefano Marletta

Nicolò Caldonazzi

Alessia Nottegar

Albino Eccher

...

2024/4/6

Detection of decidual vasculopathy using multiresolution hierarchical neural network

Biophysical Journal

Mangalam Sahai

Lauren Skvarca

Mustafa Yousif

Liron Pantanowitz

Jonathan Cagan

...

2024/2/8

Urine cytology: Updates and challenges in reporting systems, ancillary studies, and artificial intelligence

Juan Xing

Jordan P Reynolds

Xiaoying Liu

Liron Pantanowitz

2024/3/1

On image search in histopathology

HR Tizhoosh

Liron Pantanowitz

2024/4/4

Artificial intelligence for human gunshot wound classification

Journal of Pathology Informatics

Jerome Cheng

Carl Schmidt

Allecia Wilson

Zixi Wang

Wei Hao

...

2024/12/1

Evaluation of TRIM63 RNA in situ hybridization (RNA-ISH) as a potential biomarker for alveolar soft-part sarcoma (ASPS)

Medical Oncology

Alexander S Taylor

Rahul Mannan

Liron Pantanowitz

Arul M Chinnaiyan

Saravana M Dhanasekaran

...

2024/3

Focal Tall Cell Change in Papillary Thyroid Carcinoma: Lessons Learned from Practices Adopting Rigid Criteria (Height to Width Ratio of 3)

Endocrine Pathology

Esther Diana Rossi

Liron Pantanowitz

2024/2/7

Performance of preferentially expressed antigen in melanoma (PRAME) immunohistochemistry for metastatic melanoma in cytology specimens

Diagnostic Cytopathology

Mohammed Saad

Richard Cantley

Wei Hao

Zixi Wang

Dafydd Thomas

...

2024/4/1

Second Opinion for Pulmonary and Pleural Cytology is Valuable for Patient Care

Journal of the American Society of Cytopathology

Heather I Chen-Yost

Wei Hao

John Hamilton

Julia Dahl

Xiaobing Jin

...

2024/4/29

See List of Professors in Liron Pantanowitz University(University of Pittsburgh)