Can the Specificity of MRI Breast Imaging be Improved by Fusing 3D MRI Volume Data Sets with FDG PET? - Marilyn E. Noz; Linda Moy; Fabio Ponzo; Elissa L. Kramer; Gerald Q. Maguire Jr. (ISBI, 2004)

Clinical Application of a Semiautomatic 3D Fusion Tool Where Automatic Fusion Techniques Are Difficult to Use. - Marilyn E. Noz; Gerald Q. Maguire Jr.; Michael P. Zeleznik; Lotta Olivecrona; Henrik Olivecrona; Leon Axel; Mondavi B. Srichai; Linda Moy; Antoinette Murphy-Walcott (WBIR, 2006)

Supervised learning from multiple experts: whom to trust when everyone lies a bit. - Vikas C. Raykar; Shipeng Yu; Linda H. Zhao; Anna K. Jerebko; Charles Florin; Gerardo Hermosillo Valadez; Luca Bogoni; Linda Moy (ICML, 2009)

Learning From Crowds. - Vikas C. Raykar; Shipeng Yu; Linda H. Zhao; Gerardo Hermosillo Valadez; Charles Florin; Luca Bogoni; Linda Moy (J. Mach. Learn. Res., 2010)

Modeling annotator expertise: Learning when everybody knows a bit of something. - Yan Yan 024; Rómer Rosales; Glenn Fung; Mark Schmidt 001; Gerardo Hermosillo Valadez; Luca Bogoni; Linda Moy; Jennifer G. Dy (AISTATS, 2010)

High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks. - Krzysztof J. Geras; Stacey Wolfson; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho (CoRR, 2017)

Breast Density Classification with Deep Convolutional Neural Networks. - Nan Wu; Krzysztof J. Geras; Yiqiu Shen; Jingyi Su; Sungheon Gene Kim; Eric Kim; Stacey Wolfson; Linda Moy; Kyunghyun Cho (ICASSP, 2018)

Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. - Yiqiu Shen; Nan Wu; Jason Phang; Jungkyu Park 001; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (MLMI@MICCAI, 2019)

Screening Mammogram Classification with Prior Exams. - Jungkyu Park 001; Jason Phang; Yiqiu Shen; Nan Wu; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (CoRR, 2019)

Improving localization-based approaches for breast cancer screening exam classification. - Thibault Févry; Jason Phang; Nan Wu; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (CoRR, 2019)

Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening. - Nan Wu; Stanislaw Jastrzebski; Jungkyu Park 001; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (MIDL, 2020)

Understanding the robustness of deep neural network classifiers for breast cancer screening. - Witold Oleszkiewicz; Taro Makino; Stanislaw Jastrzebski; Tomasz Trzcinski; Linda Moy; Kyunghyun Cho; Laura Heacock; Krzysztof J. Geras (CoRR, 2020)

Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms. - Nan Wu; Zhe Huang 005; Yiqiu Shen; Jungkyu Park 001; Jason Phang; Taro Makino; Sungheon Gene Kim; Kyunghyun Cho; Laura Heacock; Linda Moy; Krzysztof J. Geras (CoRR, 2020)

Differences between human and machine perception in medical diagnosis. - Taro Makino; Stanislaw Jastrzebski; Witold Oleszkiewicz; Celin Chacko; Robin Ehrenpreis; Naziya Samreen; Chloe Chhor; Eric Kim; Jiyon Lee; Kristine Pysarenko; Beatriu Reig; Hildegard Toth; et al. (CoRR, 2020)

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. - Nan Wu; Jason Phang; Jungkyu Park 001; Yiqiu Shen; Zhe Huang 005; Masha Zorin; Stanislaw Jastrzebski; Thibault Févry; Joe Katsnelson; Eric Kim; Stacey Wolfson; Ujas Parikh; et al. (IEEE Trans. Medical Imaging, 2020)

A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction. - Zhengnan Huang; Jonghyun Bae; Patricia M. Johnson; Terlika Sood; Laura Heacock; Justin Fogarty; Linda Moy; Sungheon Gene Kim; Florian Knoll (MLMIR@MICCAI, 2021)

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms. - Nan Wu; Zhe Huang 005; Yiqiu Shen; Jungkyu Park 001; Jason Phang; Taro Makino; Sungheon Gene Kim; Kyunghyun Cho; Laura Heacock; Linda Moy; Krzysztof J. Geras (J. Digit. Imaging, 2021)

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. - Yiqiu Shen; Nan Wu; Jason Phang; Jungkyu Park 001; Kangning Liu; Sudarshini Tyagi; Laura Heacock; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (Medical Image Anal., 2021)

Lessons from the first DBTex Challenge. - Jungkyu Park 001; Yoel Shoshan; Robert Martí; Pablo Gómez del Campo; Vadim Ratner; Daniel Khapun; Aviad Zlotnick; Ella Barkan; Flora Gilboa-Solomon; Jakub Chledowski; Jan Witowski; Alexandra Millet; et al. (Nat. Mach. Intell., 2021)

Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification. - Timothy L. Kline; Felipe Kitamura; Ian Pan; Amine M. Korchi; Neil A. Tenenholtz; Linda Moy; Judy Wawira Gichoya; Igor Santos; Steven Blumer; Misha Ysabel Hwang; Kim-Ann Git; Abishek Shroff; et al. (CoRR, 2022)

3D-GMIC: an efficient deep neural network to find small objects in large 3D images. - Jungkyu Park 001; Jakub Chledowski; Stanislaw Jastrzebski; Jan Witowski; Yanqi Xu; Linda Du; Sushma Gaddam; Eric Kim; Alana Lewin; Ujas Parikh; Anastasia Plaunova; Sardius Chen; et al. (CoRR, 2022)

Updating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) for reporting AI research. - Ali S. Tejani; Michail E. Klontzas; Anthony A. Gatti; John Mongan; Linda Moy; Seong Ho Park; Charles E. Kahn (Nat. Mac. Intell., 2023)

RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models. - Farhad Maleki; Linda Moy; Reza Forghani; Tapotosh Ghosh; Katie L. Ovens; Steve Langer; Pouria Rouzrokh; Bardia Khosravi; Ali Ganjizadeh; Daniel I. Warren; Roxana Daneshjou; Mana Moassefi; et al. (CoRR, 2024)

fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI. - Eddy Solomon; Patricia M. Johnson; Zhengguo Tan; Radhika Tibrewala; Yvonne W. Lui; Florian Knoll; Linda Moy; Sungheon Gene Kim; Laura Heacock (CoRR, 2024)

An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects. - Jungkyu Park 001; Jakub Chledowski; Stanislaw Jastrzebski; Jan Witowski; Yanqi Xu; Linda Du; Sushma Gaddam; Eric Kim; Alana Lewin; Ujas Parikh; Anastasia Plaunova; Sardius Chen; et al. (IEEE Trans. Medical Imaging, 2024)

A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study. - Jungkyu Park 001; Jan Witowski; Yanqi Xu; Hari Trivedi; Judy Gichoya; Beatrice Brown-Mulry; Malte Westerhoff; Linda Moy; Laura Heacock; Alana Lewin; Krzysztof J. Geras (CoRR, 2025)