Linda Moy - RankMe

33 papers A* 1A 1Misc 1Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study. CoRR Jungkyu Park, Jan Witowski, Yanqi Xu, Hari Trivedi, Judy Gichoya, Beatrice Brown-Mulry, Malte Westerhoff, Linda Moy, Laura Heacock, Alana Lewin, Krzysztof J. Geras
2025	J	`jnl`	Correction: Checklist for Reproducibility of Deep Learning in Medical Imaging. J. Imaging Inform. Medicine Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile M. Safdar, Linda Moy, Felipe Kitamura, Amilcare Gentili, Paras Lakhani, Nina Kottler, Safwan S. Halabi, Joseph H. Yacoub, Yuankai Hou, Khaled Younis, Bradley J. Erickson, Elizabeth A. Krupinski, Shahriar Faghani
2025	J	`jnl`	RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models. J. Imaging Inform. Medicine 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, Atlas Haddadi Avval, Susan Sotardi, Neil A. Tenenholtz, Felipe Kitamura, Timothy Kline
2024	J	`jnl`	An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects. IEEE Trans. Medical Imaging Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia E. Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras
2024	J	`jnl`	Checklist for Reproducibility of Deep Learning in Medical Imaging. J. Imaging Inform. Medicine Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile M. Safdar, Linda Moy, Felipe Kitamura, Amilcare Gentili, Paras Lakhani, Nina Kottler, Safwan S. Halabi, Joseph H. Yacoub, Yuankai Hou, Khaled Younis, Bradley J. Erickson, Elizabeth A. Krupinski, Shahriar Faghani
2024	J	`jnl`	RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models. CoRR 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, Atlas Haddadi Avval, Susan Sotardi, Neil A. Tenenholtz, Felipe Kitamura, Timothy Kline
2024	J	`jnl`	fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI. CoRR Eddy Solomon, Patricia M. Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W. Lui, Florian Knoll, Linda Moy, Sungheon Gene Kim, Laura Heacock
2023	J	`jnl`	Updating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) for reporting AI research. Nat. Mac. Intell. Ali S. Tejani, Michail E. Klontzas, Anthony A. Gatti, John Mongan, Linda Moy, Seong Ho Park, Charles E. Kahn
2022	J	`jnl`	3D-GMIC: an efficient deep neural network to find small objects in large 3D images. CoRR Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia E. Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras
2022	J	`jnl`	Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification. CoRR 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, Elad Walach, George Shih, Steve Langer
2021	—	`conf`	A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction. MLMIR@MICCAI Zhengnan Huang, Jonghyun Bae, Patricia M. Johnson, Terlika Sood, Laura Heacock, Justin Fogarty, Linda Moy, Sungheon Gene Kim, Florian Knoll
2021	J	`jnl`	An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. Medical Image Anal. Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2021	J	`jnl`	Lessons from the first DBTex Challenge. Nat. Mach. Intell. Jungkyu Park, 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, Eric Kim, Alana Lewin, Kristine Pysarenko, Sardius Chen, Julia E. Goldberg, Shalin Patel, Anastasia Plaunova, Melanie Wegener, Stacey Wolfson, Jiyon Lee, Sana Hava, Sindhoora Murthy, Linda Du, Sushma Gaddam, Ujas Parikh, Laura Heacock, Linda Moy, Beatriu Reig, Michal Rosen-Zvi, Krzysztof J. Geras
2021	J	`jnl`	Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms. J. Digit. Imaging Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras
2020	J	`jnl`	An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. CoRR Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. IEEE Trans. Medical Imaging Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, Sungheon Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Differences between human and machine perception in medical diagnosis. CoRR Taro Makino, Stanislaw Jastrzebski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, Naziya Samreen, Chloe Chhor, Eric Kim, Jiyon Lee, Kristine Pysarenko, Beatriu Reig, Hildegard Toth, Divya Awal, Linda Du, Alice Kim, James Park, Daniel K. Sodickson, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2020	—	`conf`	Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening. MIDL Nan Wu, Stanislaw Jastrzebski, Jungkyu Park, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms. CoRR Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras
2020	J	`jnl`	Understanding the robustness of deep neural network classifiers for breast cancer screening. CoRR Witold Oleszkiewicz, Taro Makino, Stanislaw Jastrzebski, Tomasz Trzcinski, Linda Moy, Kyunghyun Cho, Laura Heacock, Krzysztof J. Geras
2019	J	`jnl`	Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. CoRR Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, Sungheon Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2019	—	`conf`	Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. MLMI@MICCAI Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2019	J	`jnl`	Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. CoRR Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2019	J	`jnl`	Improving localization-based approaches for breast cancer screening exam classification. CoRR Thibault Févry, Jason Phang, Nan Wu, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2019	J	`jnl`	Screening Mammogram Classification with Prior Exams. CoRR Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2018	Misc	`conf`	Breast Density Classification with Deep Convolutional Neural Networks. ICASSP Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho
2017	J	`jnl`	Breast density classification with deep convolutional neural networks. CoRR Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho
2017	J	`jnl`	High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks. CoRR Krzysztof J. Geras, Stacey Wolfson, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho
2010	J	`jnl`	Learning From Crowds. J. Mach. Learn. Res. Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerardo Hermosillo Valadez, Charles Florin, Luca Bogoni, Linda Moy
2010	A	`conf`	Modeling annotator expertise: Learning when everybody knows a bit of something. AISTATS Yan Yan, Rómer Rosales, Glenn Fung, Mark Schmidt, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy, Jennifer G. Dy
2009	A*	`conf`	Supervised learning from multiple experts: whom to trust when everyone lies a bit. ICML Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Anna K. Jerebko, Charles Florin, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy
2006	—	`conf`	Clinical Application of a Semiautomatic 3D Fusion Tool Where Automatic Fusion Techniques Are Difficult to Use. WBIR Marilyn E. Noz, Gerald Q. Maguire Jr., Michael P. Zeleznik, Lotta Olivecrona, Henrik Olivecrona, Leon Axel, Mondavi B. Srichai, Linda Moy, Antoinette Murphy-Walcott
2004	—	`conf`	Can the Specificity of MRI Breast Imaging be Improved by Fusing 3D MRI Volume Data Sets with FDG PET? ISBI Marilyn E. Noz, Linda Moy, Fabio Ponzo, Elissa L. Kramer, Gerald Q. Maguire Jr.