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Hari Trivedi

United States

Research Interests

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Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

Articles (31)

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Collaborators (7)

Zachary Bercu

Assistant Professor

Emory University School of Medicine

UNITED STATES

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MinJae Woo

Assistant Professor of Data Science

Clemson University

UNITED STATES

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Jayashree Kalpathy-Cramer

Professor

University of Colorado School of Medicine

UNITED STATES

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Imon Banerjee

Associate Professor

Mayo Clinic

UNITED STATES

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Judy Gichoya

Emory University School of Medicine

UNITED STATES

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John Mongan

Professor of Clinical Radiology

University of California, San Francisco

UNITED STATES

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Saptarshi Purkayastha

Associate Professor

Indiana University-Purdue University Indianapolis

UNITED STATES

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Hari Trivedi

Research Interests

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Articles (31)

Evaluation of Multilingual Simplifications of IR Procedural Reports Using GPT-4

Comparative Evaluation of Deep Learning and Foundation Model Embeddings for Osteoarthritis Feature Classification in Knee Radiographs

Exploring the potential of generative artificial intelligence in medical image synthesis: opportunities, challenges, and future directions

Innovating Challenges and Experiences in Emory Health AI Bias Datathon: Experience Report

DICOM LUT is a Key Step in Medical Image Preprocessing Towards AI Generalizability

Subgroup evaluation to understand performance gaps in deep learning-based classification of regions of interest on mammography

Are AI Models Using Shortcuts to Detect Breast Cancer Risk?

AI in Action: A Road Map From the Radiology AI Council for Effective Model Evaluation and Deployment

Artificial Intelligence Chest X-Ray Opportunistic Screening Model for Coronary Artery Calcium Deposition: A Multi-Objective Model With Multimodal Data Fusion

Context window tuning and EMBED Open Data results

Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review

Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review (vol 118, 110369, 2025)

Enhancing radiology training with GPT-4: Pilot analysis of automated feedback in trainee preliminary reports

Fully generated mammogram patch dataset using CycleGAN with de-identification texture analysis

LLaVA-Mammo: Adapting LLaVA for Interactive and Interpretable Breast Cancer Assessment

LLaVA-MultiMammo: Adapting Vision-Language Models for Explainable and Comprehensive Multiview Mammogram Analysis in Breast Cancer Assessment

Multi-site validation of an interpretable model to analyze breast masses

Performance of Algorithms Submitted in the 2023 RSNA Screening Mammography Breast Cancer Detection AI Challenge

Role of Model Size and Prompting Strategies in Extracting Labels from Free-Text Radiology Reports with Open-Source Large Language Models

Multi-institutional Evaluation and Training of Breast Density Classification AI Algorithm Using ACR Connect and AI-LAB.

MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation

AI pitfalls and what not to do: Mitigating bias in AI

“Shortcuts” Causing Bias in Radiology Artificial Intelligence: Causes, Evaluation, and Mitigation

Ethics of large language models in medicine and medical research

The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images

Biomedical heterogeneous data categorization and schema mapping toward data integration

Decoding radiology reports: Potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports

Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study

Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients

A Systematic Review of ‘Fair’ AI Model Development for Image Classification and Prediction

Automatic Localization and Brand Detection of Cervical Spine Hardware on Radiographs Using Weakly Supervised Machine Learning

Collaborators (7)

Zachary Bercu

MinJae Woo

Jayashree Kalpathy-Cramer

Imon Banerjee

Judy Gichoya

John Mongan

Saptarshi Purkayastha

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