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MinJae Woo
MinJae Woo
Dirección de correo verificada de kennesaw.edu
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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
262023
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
182018
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
122021
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
102016
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
52022
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
52021
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
42021
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
42021
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
32015
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
22023
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
12023
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
12023
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
12020
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, ...
arXiv preprint arXiv:2305.04422, 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
Additional file 1: of Effect of clinical decision rules, patient cost and malpractice information on clinician brain CT image ordering: a randomized controlled trial
P Fontelo, MJ Woo, RG Pirrallo, Z Connor, RW Gimbel, F Liu, SC Lowe, ...
figshare Academic Research System, 2018
2018
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