Jayashree Kalpathy-Cramer

Jayashree Kalpathy-Cramer

Harvard University

H-index: 66

North America-United States

About Jayashree Kalpathy-Cramer

Jayashree Kalpathy-Cramer, With an exceptional h-index of 66 and a recent h-index of 56 (since 2020), a distinguished researcher at Harvard University, specializes in the field of AI, machine learning, medical imaging, ophthalmology, radiology.

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

Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge

Multinational external validation of autonomous retinopathy of prematurity screening

Agreement on Lesion Presence and Location at Colposcopy

Oxygenation Fluctuations Associated with Severe Retinopathy of Prematurity: Insights from a Multimodal Deep Learning Approach

Artificial intelligence–based image analysis in clinical testing: lessons from cervical cancer screening

Clinical and genomic predictors of adverse events in newly diagnosed glioblastoma

Discrepancies in Diagnosis of Treatment-Requiring Retinopathy of Prematurity

Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology

Jayashree Kalpathy-Cramer Information

University

Position

MGH/Harvard Medical School

Citations(all)

28523

Citations(since 2020)

22543

Cited By

12458

hIndex(all)

66

hIndex(since 2020)

56

i10Index(all)

215

i10Index(since 2020)

181

Email

University Profile Page

Harvard University

Google Scholar

View Google Scholar Profile

Jayashree Kalpathy-Cramer Skills & Research Interests

AI

machine learning

medical imaging

ophthalmology

radiology

Top articles of Jayashree Kalpathy-Cramer

Title

Journal

Author(s)

Publication Date

Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge

Radiology: Imaging Cancer

Wen Li

Savannah C Partridge

David C Newitt

Jon Steingrimsson

Helga S Marques

...

2024/1/5

Multinational external validation of autonomous retinopathy of prematurity screening

JAMA ophthalmology

Aaron S Coyner

Tom Murickan

Minn A Oh

Benjamin K Young

Susan R Ostmo

...

2024/3/7

Agreement on Lesion Presence and Location at Colposcopy

Journal of lower genital tract disease

Kathrine Dyhr Lycke

Jayashree Kalpathy-Cramer

Jose Jeronimo

Silvia De Sanjose

Didem Egemen

...

2024/1/1

Oxygenation Fluctuations Associated with Severe Retinopathy of Prematurity: Insights from a Multimodal Deep Learning Approach

Ophthalmology Science

Wei-Chun Lin

Brian K Jordan

Brian Scottoline

Susan R Ostmo

Aaron S Coyner

...

2024/3/1

Artificial intelligence–based image analysis in clinical testing: lessons from cervical cancer screening

JNCI: Journal of the National Cancer Institute

Didem Egemen

Rebecca B Perkins

Li C Cheung

Brian Befano

Ana Cecilia Rodriguez

...

2024/1/1

Clinical and genomic predictors of adverse events in newly diagnosed glioblastoma

Clinical Cancer Research

Mary Jane Lim-Fat*

J Bryan Iorgulescu*

Rifaquat Rahman

Varun Bhave

Alona Muzikansky

...

2024/1/22

Discrepancies in Diagnosis of Treatment-Requiring Retinopathy of Prematurity

Ophthalmology Retina

Thanh-Tin P Nguyen

Benjamin K Young

Aaron Coyner

Susan Ostmo

RV Paul Chan

...

2024/1/1

Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology

arXiv preprint arXiv:2404.16397

Tiago Gonçalves

Dagoberto Pulido-Arias

Julian Willett

Katharina V Hoebel

Mason Cleveland

...

2024/4/25

Generalizable deep neural networks for image quality classification of cervical images

Syed Rakin Ahmed

Brian Befano

Didem Egemen

Ana Cecilia Rodriguez

Kanan Desai

...

2024/1/18

Systems and methods for automated image analysis

2022/6/30

Design of the HPV-automated visual evaluation (PAVE) study: Validating a novel cervical screening strategy

Elife

Silvia de Sanjosé

Rebecca B Perkins

Nicole Campos

Federica Inturrisi

Didem Egemen

...

2024/1/15

Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges

Radiology: Artificial Intelligence

Felipe Campos Kitamura

Luciano M Prevedello

Errol Colak

Safwan S Halabi

Matthew P Lungren

...

2024/3/13

A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging

Jay Patel

Syed Rakin Ahmed

Ken Chang

Praveer Singh

Mishka Gidwani

...

2023/12/22

The RSNA Cervical Spine Fracture CT Dataset.

Radiology: Artificial Intelligence

Robyn Ball

Ekim Gumeler

Kristen Yeom

Mohammad Hamghalam

Amber Simpson

...

2023/9/1

Operationalization of Retinopathy of Prematurity Screening by the Application of the Essential Public Health Services Framework

Myrna Sobhy

Emily Cole

Sayena Jabbehdari

Nita G Valikodath

Tala Al-Khaled

...

2023/1/1

Assessing generalizability of an AI-based visual test for cervical cancer screening

medRxiv

Syed Rakin Ahmed

Didem Egemen

Brian Befano

Ana Cecilia Rodriguez

Jose Jeronimo

...

2023

Breast Cancer Risk Assessment in the AI Era: The Importance of Model Validation in Ethnically Diverse Cohorts

Radiology: Artificial Intelligence

Despina Kontos

Jayashree Kalpathy-Cramer

2023/11/22

FDU-net: deep learning-based three-dimensional diffuse optical image reconstruction

IEEE Transactions on Medical Imaging

Bin Deng

Hanxue Gu

Hongmin Zhu

Ken Chang

Katharina V Hoebel

...

2023/3/6

Monte Carlo dropout for increased deep learning repeatability and disease classification performance in retinopathy of prematurity

Investigative Ophthalmology & Visual Science

Aaron S Coyner

Andreanne Lemay

Katharina Hoebel

Praveer Singh

Susan Ostmo

...

2023/6/1

Conditional Diffusion Replay for Continual Learning in Medical Settings

Yewon Byun

Saurabh Garg

Sanket Vaibhav Mehta

Praveer Singh

Jayashree Kalpathy-Cramer

...

2023/6/23

See List of Professors in Jayashree Kalpathy-Cramer University(Harvard University)