B. Price, J. Gichoya, M. Chavoshi, J. Adleberg, K. Thomas, Z. Zaiman, A. Mansuri, B. Brown-Mulry, C. Okechukwu, T. Dapamede, F. Li, R. Isaac, O. Goltzer, M. Gottschalk, H. Trivedi,
European Heart Journal
Artificial intelligence-based quantification of breast arterial calcifications and cardiovascular morbidity and mortality
H. Trivedi, T. Dapamede, A. Urooj, V. Joshi, G. Gershon, F. Li, M. Chavoshi, B. Brown-Mulry, R. Isaac, A. Mansuri, C. Robichaux, C. Ayoub, R. Arsanjani, L. Sperling, J. Gichoya, M. van Assen, C. O'Neill, I. Banerjee,
npj Digital Medicine
Real-world performance evaluation of a commercial deep learning model for intracranial hemorrhage detection
M. Chavoshi, A. Mansuri, W. Bala, B. Brown-Mulry, T. Dapamede, R. Isaac, B. Khosravi, H. Li, F. Li, J. Moon, C. Robichaux, D. Cohen-Addad, N. Salastekar, J. Gichoya, H. Trivedi,
preprint
Feature Quality and Adaptability of Medical Foundation Models: A Comparative Evaluation for Radiographic Classification and Segmentation
F. Li, T. Dapamede, M. Chavoshi, Y. Jeon, B. Khosravi, A. Dere, B. Brown-Mulry, R. Isaac, A. Mansuri, C. Sanyika, J. Newsome, S. Purkayastha, I. Banerjee, H. Trivedi, J. Gichoya,
preprint
A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study
J. Park, J. Witowski, Y. Xu, H. Trivedi, J. Gichoya, B. Brown-Mulry, M. Westerhoff, L. Moy, L. Heacock, A. Lewin, K. Geras,
PLOS Digital Health
Subgroup Evaluation to Understand Performance Gaps in Deep Learning-Based Classification of Regions of Interest on Mammography
M. Woo, L. Zhang, B. Brown-Mulry, I. Hwang, J. Gichoya, A. Gastounioti, I. Banerjee, L. Seyyed-Kalantari, H. Trivedi,
preprint
Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection
B. Brown-Mulry, R. Isaac, S. Lee, A. Seth, K. Min, T. Dapamede, F. Li, A. Mansuri, M. Woo, C. Fauria-Robinson, B. Paryani, J. Gichoya, H. Trivedi,
preprint
Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk
T. Dapamede, A. Urooj, V. Joshi, G. Gershon, F. Li, M. Chavoshi, B. Brown-Mulry, R. Isaac, A. Mansuri, C. Robichaux, C. Ayoub, R. Arsanjani, L. Sperling, J. Gichoya, M. van Assen, C. O'Neill, I. Banerjee, H. Trivedi,
preprint
Emory Knee Radiograph Dataset (MRKR)
B. Price, J. Adleberg, K. Thomas, Z. Zaiman, A. Mansuri, B. Brown-Mulry, C. Okechukwu, J. Gichoya, H. Trivedi,
Frontiers in Radiology
Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography
I. Hwang, H. Trivedi, B. Brown-Mulry, L. Zhang, V. Nalla, A. Gastounioti, J. Gichoya, L. Seyyed-Kalantari, I. Banerjee, M. Woo,
Abstracts
SIIM 2026 Annual Meeting
DL-FUSE: Personalized Mammographic Image Enhancement via Density-Adaptive Frequency Fusion
T. Dapamede, F. Li, R. Chavoshi, B. Khosravi, B. Brown-Mulry, Y. Jeon, A. Mansuri, R. Isaac, C. Sanyika, J. Malik, J. Newsome, J. Gichoya, H. Trivedi,
SIIM 2026 Annual Meeting
Clinical Validity of Foundation Model-Derived Cardiomegaly as a Diagnostic and Prognostic Biomarker for Heart Failure
T. Dapamede, F. Li, A. Dere, R. Chavoshi, B. Khosravi, C. Robichaux, A. Mansuri, B. Brown-Mulry, R. Isaac, Y. Jeon, C. Sanyika, J. Malik, J. Newsome, H. Trivedi, J. Gichoya,
SIIM 2026 Annual Meeting
Scalable, Objective Breast Density Estimation via Foundation Model Probing
T. Dapamede, F. Li, R. Chavoshi, B. Khosravi, B. Brown-Mulry, Y. Jeon, A. Mansuri, R. Isaac, C. Sanyika, J. Malik, J. Newsome, J. Gichoya, H. Trivedi,
SIIM 2026 Annual Meeting
Beyond Next-Token Prediction: Distillation vs. Synthetic Data for Transforming LLMs into Structured Report Classifiers
A. Mansuri, K. Mehta, J. Malik, R. Chavoshi, T. Dapamede, F. Li, Y. Jeon, R. Isaac, B. Brown-Mulry, C. Sanyika, J. Newsome, J. Gichoya, A. Emami, H. Trivedi,
SIIM 2026 Annual Meeting
Mitigating Interpolation-Induced Variability in Medical Foundation Models with Anti-Aliasing Preprocessing
F. Li, Y. Jeon, T. Dapamede, R. Chavoshi, B. Khosravi, B. Brown-Mulry, A. Mansuri, R. Isaac, C. Sanyika, J. Malik, J. Newsome, H. Trivedi, J. Gichoya,
SIIM 2026 Annual Meeting
Interactive Platform for Exploring Medical Imaging Embeddings with DICOM enabled Linked Images and Acquisition Metadata
J. Malik, F. Li, A. Mansuri, B. Brown-Mulry, R. Issac, T. Dapamede, R. Chavoshi, Y. Jeon, C. Sanyika, J. Newsome, H. Trivedi, J. Gichoya,
SIIM-CAIMI 2025 Annual Meeting
Real-World Performance Evaluation of a Commercial Deep Learning Model for Intracranial Hemorrhage Detection: Anatomical and Demographic Analysis
M. Chavoshi, A. Mansuri, J. Gichoya, T. Dapamede, D. Cohen-Addad, N. Salastekar, H. Li, W. Bala, J. Moon, B. Khosravi, F. Li, C. Robichaux, B. Brown-Mulry, R. Isaac, H. Trivedi,
Emerging Technologies for Coronary Artery Disease Imaging: Vision 2040, NIH
Beyond the PREVENT Score: Improving Cardiovascular Outcomes in Women with AI-Powered Analysis of Breast Arterial Calcification
T. Dapamede, A. Urooj, V. Joshi, G. Gershon, F. Li, S. Chavoshi, B. Brown-Mulry, R. Isaac, A. Mansuri, C. Robichaux, C. Ayoub, R. Arsanjani, L. Sperling, J. Gichoya, M. Van Assen, W. O'Neill, I. Banerjee, H. Trivedi,
AIM-AHEAD 2025 Annual Meeting,
Dynamic Cardiovascular Risk Assessment: Leveraging AI to Track Breast Arterial Calcification on Serial Mammograms
T. Dapamede, V. Joshi, A. Urooj, F. Li, M. Chavoshi, B. Khosravi, B. Brown-Mulry, A. Mansuri, R. Isaac, C. Robichaux, C. Ayoub, R. Arsanjani, J. Gichoya, C. O'Neill, I. Banerjee, H. Trivedi,
AIM-AHEAD 2025 Annual Meeting,
Score Change as a Marker of Elevated Risk in AI-Based Breast Cancer Screening
R. Isaac, B. Brown-Mulry, M. Chavoshi, T. Dapamede, A. Mansuri, F. Li, J. Newsome, J. Gichoya, H. Trivedi,
T. Dapamede, F. Li, B. Khosravi, A. Urooj, M. Chavoshi, C. Robichaux, A. Mansuri, B. Brown-Mulry, R. Isaac, C. Ayoub, C. O'Neill, I. Banerjee, J. Gichoya, H. Trivedi,
SIIM 2025 Annual Meeting
Emory Breast Imaging Dataset (EMBED) v2 - A Racially Diverse, Multi-Modal Dataset of 1.2M Breast Imaging Exams and Associated Histopathology
R. Isaac, B. Brown-Mulry, A. Mansuri, T. Dapamede, C. Robichaux, F. Li, M. Chavoshi, J. Gichoya, H. Trivedi,
SIIM 2025 Annual Meeting
LLM Showdown: Benchmarking Performance, Cost, and Speed of Granular Ground Truth Extraction in Radiology Reports for Post-Deployment Monitoring of AI Models
A. Mansuri, T. Dapamede, D. Cohen, N. Salastekar, H. Li, J. Moon, W. Bala, B. Khosravi, C. Robichaux, F. Li, R. Isaac, B. Brown-Mulry, M. Chavoshi, J. Gichoya, H. Trivedi,
SIIM 2025 Annual Meeting
Report Interpretation Times for Radiology Residents and Attendings Before and After Deployment of a Triaging Model for Pulmonary Embolism and Intracranial Hemorrhage Detection in a Large Academic Center
A. Mansuri, T. Dapamede, D. Cohen, N. Salastekar, H. Li, J. Moon, W. Bala, B. Khosravi, C. Robichaux, F. Li, R. Isaac, B. Brown-Mulry, M. Chavoshi, J. Gichoya, H. Trivedi,
RSNA 2024 Annual Meeting
Performance of a Commercial Digital Breast Tomosynthesis Cancer Detection Model in a Large, Racially Diverse US Screening Population
H. Trivedi, T. Dapamede, F. Li, A. Mansuri, B. Brown-Mulry, S. Belhadj, A. Seth, H. Jeong, T. Kooi, J. Gichoya,
SIIM CMIMI 2024 Annual Meeting
Evaluation of Llama2 and Llama3 for Automated Extraction of Ground Truth from Radiology Reports for Post-Deployment Monitoring of Pulmonary Embolism and Intracranial Hemorrhage Detection AI Models
T. Dapamede, B. Khosravi, C. Robichaux, A. Mansuri, M. Chavoshi, A. Belov, A. Udongwo, C. Igwe, F. Li, B. Brown-Mulry, H. Li, J. Moon, J. Gichoya, H. Trivedi,
SIIM CMIMI 2024 Annual Meeting
Beyond FDA Clearance: Automated Post Deployment Monitoring and Validation of Commercial AI Models using Local LLMs
T. Dapamede, B. Khosravi, C. Robichaux, A. Mansuri, M. Chavoshi, A. Belov, A. Udongwo, C. Igwe, F. Li, B. Brown-Mulry, H. Li, J. Moon, J. Gichoya, H. Trivedi,
SIIM CMIMI 2024 Annual Meeting
Automated Identification of Challenging Samples in Medical Imaging for Unbiased AI Model Training
F. Li, T. Dapamede, B. Khosravi, M. Chavoshi, S. Purkayastha, H. Trivedi, J. Gichoya,
SIIM 2024 Annual Meeting
Big Data in Healthcare: Innovations and Challenges in Curating Large-Scale Radpath Datasets
H. Trivedi, B. Brown-Mulry, M. Behera, G. Corredor Prada, T. Dapamede, R. Gupta, E. Krupinski, F. Li, X. Li, A. Madabhushi, L. McCullough, R. Shiradkar, G. Smith, J. Yang, J. Gichoya,
SIIM 2024 Annual Meeting
Scaling Medical Image De-Identification with Cloud Computing
B. Brown-Mulry, H. Trivedi, J. Gichoya, M. Woo, T. Dapamede, F. Li, H. Kolukonu, C. Tsui,
2023 IEEE Symposium on Computers and Communications
Influence of Convolutional Neural Network Depth on the Efficacy of Automated Breast Cancer Screening Systems
V. Nalla, S. Pouriyeh, R. Parizi, I. Hwang, B. Brown-Mulry, L. Zhang, M. Woo,
SIIM 2023 Annual Meeting
Subgroup Analysis in Mass Detection of Abnormality in Screening Mammograms - Towards Fair and Interpretable Models
L. Zhang, B. Brown-Mulry, V. Nalla, R. Ju, J. Gichoya, L. Seyyed-Kalantari, I. Banerjee, M. Woo, H. Trivedi,
SIIM 2023 Annual Meeting
Inherent Barriers to Breast Cancer Detection in Mammograms Using Deep Learning
I. Hwang, B. Brown-Mulry, L. Zhang, V. Nalla, R. Ju, J. Gichoya, L. Seyyed-Kalantari, I. Banerjee, M. Woo, H. Trivedi,
SIIM 2023 Annual Meeting
External Validation of Malignancy Detection Neural Networks on a Demographically Diverse Dataset
R. Ju, I. Banerjee, B. Brown-Mulry, J. Gichoya, I. Hwang, P. Kuo, V. Nalla, L. Seyyed-Kalantari, H. Trivedi, M. Woo, L. Zhang,
SIIM 2023 Annual Meeting
A Novel Approach to Breast Cancer Pseudo-Detection Using Particle Swarm Optimization
B. Brown-Mulry, L. Zhang, I. Hwang, V. Nalla, R. Ju, J. Gichoya, L. Seyyed-Kalantari, I. Banerjee, H. Trivedi, M. Woo,