The EMory BrEast imaging Dataset (EMBED): A racially diverse, granular dataset of 3.4 million screening and diagnostic mammographic images JJ Jeong, BL Vey, A Bhimireddy, T Kim, T Santos, R Correa, R Dutt, ... Radiology: Artificial Intelligence 5 (1), e220047, 2023 | 29 | 2023 |
Effect of clinical decision rules, patient cost and malpractice information on clinician brain CT image ordering: a randomized controlled trial RW Gimbel, RG Pirrallo, SC Lowe, DW Wright, L Zhang, MJ Woo, ... BMC medical informatics and decision making 18, 1-8, 2018 | 19 | 2018 |
Intervention to reduce interobserver variability in computed tomographic measurement of cancer lesions among experienced radiologists MJ Woo, SC Lowe, AM Devane, RW Gimbel Current problems in diagnostic radiology 50 (3), 321-327, 2021 | 12 | 2021 |
A game-based crowdsourcing platform for rapidly training middle and high school students to perform biomedical image analysis S Feng, M Woo, H Kim, E Kim, S Ki, L Shao, A Ozcan Optics and Biophotonics in Low-Resource Settings II 9699, 92-100, 2016 | 10 | 2016 |
The EMory BrEast imaging Dataset (EMBED): a racially diverse, granular dataset of 3.5 M screening and diagnostic mammograms JJ Jeong, BL Vey, A Reddy, T Kim, T Santos, R Correa, R Dutt, ... arXiv preprint arXiv:2202.04073, 2022 | 6 | 2022 |
Deep learning for semi-automated unidirectional measurement of lung tumor size in CT MJ Woo, AM Devane, SC Lowe, EL Lowther, RW Gimbel Cancer Imaging 21 (1), 43, 2021 | 5 | 2021 |
Complete and resilient documentation for operational medical environments leveraging mobile hands-free technology in a systems approach: Experimental study MJ Woo, P Mishra, J Lin, S Kar, N Deas, C Linduff, S Niu, Y Yang, ... JMIR mHealth and uHealth 9 (10), e32301, 2021 | 4 | 2021 |
Systematic evaluation and enhancement of speech recognition in operational medical environments S Kar, P Mishra, J Lin, MJ Woo, N Deas, C Linduff, S Niu, Y Yang, ... 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 4 | 2021 |
A game-based platform for crowd-sourcing biomedical image diagnosis and standardized remote training and education of diagnosticians S Feng, M Woo, K Chandramouli, A Ozcan Optics and Biophotonics in Low-Resource Settings 9314, 39-46, 2015 | 3 | 2015 |
Influence of Convolutional Neural Network Depth on the Efficacy of Automated Breast Cancer Screening Systems V Nalla, S Pouriyeh, RM Parizi, I Hwang, B Brown-Mulry, L Zhang, ... 2023 IEEE Symposium on Computers and Communications (ISCC), 1-4, 2023 | 2 | 2023 |
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors CAM Heming, M Abdalla, M Ahluwalia, L Zhang, H Trivedi, MJ Woo, ... arXiv preprint arXiv:2311.12560, 2023 | 1 | 2023 |
Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography IC Hwang, H Trivedi, B Brown-Mulry, L Zhang, V Nalla, A Gastounioti, ... Frontiers in Radiology 3, 1181190, 2023 | 1 | 2023 |
Multivariate Analysis on Performance Gaps of Artificial Intelligence Models in Screening Mammography L Zhang, B Brown-Mulry, V Nalla, IC Hwang, JW Gichoya, A Gastounioti, ... arXiv preprint arXiv:2305.04422, 2023 | 1 | 2023 |
Retrospective comparison of approaches to evaluating inter-observer variability in CT tumour measurements in an academic health centre MJ Woo, M Heo, AM Devane, SC Lowe, RW Gimbel BMJ open 10 (11), e040096, 2020 | 1 | 2020 |
Class Probability-guided Ensemble Learning-based Semantic Segmentation to Predict Cancerous Regions on Hematoxylin and Eosin-stained Images S Lee, SC Koganti, IC Hwang, MJ Woo 2024 IEEE 18th International Conference on Semantic Computing (ICSC), 49-56, 2024 | | 2024 |
Deep learning for computer-aided abnormalities classification in digital mammogram: A data-centric perspective V Nalla, S Pouriyeh, RM Parizi, H Trivedi, QZ Sheng, I Hwang, ... Current Problems in Diagnostic Radiology, 2024 | | 2024 |
Image Compression and Decompression Framework Based on Latent Diffusion Model for Breast Mammography IC Hwang, MJ Woo arXiv preprint arXiv:2310.05299, 2023 | | 2023 |
Performance Gaps of Artificial Intelligence Models Screening Mammography-Towards Fair and Interpretable Models. L Zhang, B Brown-Mulry, V Nalla, IC Hwang, JW Gichoya, A Gastounioti, ... CoRR, 2023 | | 2023 |
Deep Learning Frameworks to Improve Inter-Observer Variability in CT Measurement of Solid Tumor MJ Woo Clemson University, 2021 | | 2021 |
Effect of clinical decision rules, patient cost and malpractice information on clinician brain CT image ordering: a randomized controlled trial L Zhang, F Liu, SC Lowe, DW Wright, Z Connor, RG Pirrallo, MJ Woo, ... figshare Academic Research System, 2018 | | 2018 |