John T Mongan (John Mongan, John Slavotinek)

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 44

Top Topics

Machine Learning

Artificial Intelligence

Diffusion Weighted

Top Venues

Radiology. Artificial intelligence

Journal of the American Medical Informatics Association : JAMIA

This page only lists publications with an associated author ORCID identifier.

Publications

Felipe Campos Kitamura, Luciano M Prevedello, Errol Colak, Safwan S Halabi, Matthew P Lungren, Robyn L Ball, Jayashree Kalpathy-Cramer, Charles E Kahn, Tyler Richards, Jason F Talbott, George Shih, Hui Ming Lin, Katherine P Andriole, Maryam Vazirabad, Bradley J Erickson, Adam E Flanders, John T Mongan
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial intelligence 6 (3) (2024)
Felipe Campos Kitamura, Luciano M Prevedello, Errol Colak, Safwan S Halabi, Matthew P Lungren, Robyn L Ball, Jayashree Kalpathy-Cramer, Charles E Kahn, Tyler Richards, Jason F Talbott, George Shih, Hui Ming Lin, Katherine P Andriole, Maryam Vazirabad, Bradley J Erickson, Adam E Flanders, John T Mongan
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial intelligence 6 (3) (2024)
Jeffrey D Rudie, Rachit Saluja, David A Weiss, Pierre Nedelec, Evan Calabrese, John B Colby, Benjamin Laguna, John T Mongan, Steve Braunstein, Christopher P Hess, Andreas M Rauschecker, Leo P Sugrue, Javier E Villanueva-Meyer
The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset. Radiology. Artificial intelligence 6 (2) (2024)
Ali S Tejani, Michail E Klontzas, Anthony A Gatti, John T Mongan, Linda Moy, Saikanth Reddy Deepalam, Charles E Kahn, null null
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update. Radiology. Artificial intelligence 6 (4) (2024)
Marius George Linguraru, Spyridon Bakas, Mariam S Aboian, Peter D Chang, Adam E Flanders, Jayashree Kalpathy-Cramer, Felipe Campos Kitamura, Matthew P Lungren, John T Mongan, Luciano M Prevedello, Ronald M Summers, Carol Chia Chia Wu, Maruf Adewole, Charles E Kahn
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiology. Artificial intelligence 6 (4) (2024)
Jeffrey D Rudie, Rachit Saluja, David A Weiss, Pierre Nedelec, Evan Calabrese, John B Colby, Benjamin Laguna, John T Mongan, Steve Braunstein, Christopher P Hess, Andreas M Rauschecker, Leo P Sugrue, Javier E Villanueva-Meyer
The University of California San Francisco, Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset. Radiology. Artificial intelligence (2024)
Marius George Linguraru, Spyridon Bakas, Mariam S Aboian, Peter D Chang, Adam E Flanders, Jayashree Kalpathy-Cramer, Felipe Campos Kitamura, Matthew P Lungren, John T Mongan, Luciano M Prevedello, Ronald M Summers, Carol Chia Chia Wu, Maruf Adewole, Charles E Kahn
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiology. Artificial intelligence 6 (4) (2024)
Adrian P Brady, Bibb Allen, Jaron J R Chong, Elmar Kotter, Nina Kottler, John Mongan, Lauren Oakden-Rayner, Daniel Pinto Dos Santos, An Tang, Christoph Wald, John T Mongan
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA. Radiology. Artificial intelligence 6 (1) (2024)
Ali S Tejani, Michail E Klontzas, Anthony A Gatti, John T Mongan, Linda Moy, Saikanth Reddy Deepalam, Charles E Kahn, null null
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update. Radiology. Artificial intelligence 6 (4) (2024)
Adrian P Brady, Bibb Allen, Jaron J R Chong, Elmar Kotter, Nina Kottler, John Mongan, Lauren Oakden-Rayner, Daniel Pinto Dos Santos, An Tang, Christoph Wald, John T Mongan
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA. Radiology. Artificial intelligence 6 (1) (2024)
Ali S Tejani, Michail E Klontzas, Anthony A Gatti, John T Mongan, Linda Moy, Saikanth Reddy Deepalam, Charles E Kahn, null null
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update. Radiology. Artificial intelligence 6 (4) (2024)
Brandon K K Fields, Evan Calabrese, John T Mongan, Soonmee Cha, Christopher P Hess, Leo P Sugrue, Susan M Chang, Tracy L Luks, Javier E Villanueva-Meyer, Andreas M Rauschecker, Jeffrey D Rudie
The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma MRI Dataset. Radiology. Artificial intelligence 6 (4) (2024)
Ali S Tejani, Michail E Klontzas, Anthony A Gatti, John T Mongan, Linda Moy, Saikanth Reddy Deepalam, Charles E Kahn, null null
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update. Radiology. Artificial intelligence 6 (4) (2024)
Brandon K K Fields, Evan Calabrese, John T Mongan, Soonmee Cha, Christopher P Hess, Leo P Sugrue, Susan M Chang, Tracy L Luks, Javier E Villanueva-Meyer, Andreas M Rauschecker, Jeffrey D Rudie
The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma MRI Dataset. Radiology. Artificial intelligence 6 (4) (2024)
Ali S Tejani, Michail E Klontzas, Anthony A Gatti, John T Mongan, Linda Moy, Saikanth Reddy Deepalam, Charles E Kahn, null null
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update. Radiology. Artificial intelligence (2024)
Jeffrey D Rudie, Rachit Saluja, David A Weiss, Pierre Nedelec, Evan Calabrese, John B Colby, Benjamin Laguna, John T Mongan, Steve Braunstein, Christopher P Hess, Andreas M Rauschecker, Leo P Sugrue, Javier E Villanueva-Meyer
The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset. Radiology. Artificial intelligence 6 (2) (2024)
Felipe Campos Kitamura, Luciano M Prevedello, Errol Colak, Safwan S Halabi, Matthew P Lungren, Robyn L Ball, Jayashree Kalpathy-Cramer, Charles E Kahn, Tyler Richards, Jason F Talbott, George Shih, Hui Ming Lin, Katherine P Andriole, Maryam Vazirabad, Bradley J Erickson, Adam E Flanders, John T Mongan
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial intelligence 6 (3) (2024)
Brandon K K Fields, Evan Calabrese, John T Mongan, Soonmee Cha, Christopher P Hess, Leo P Sugrue, Susan M Chang, Tracy L Luks, Javier E Villanueva-Meyer, Andreas M Rauschecker, Jeffrey D Rudie
The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma (UCSF-ALPTDG) MRI Dataset. Radiology. Artificial intelligence (2024)
Marius George Linguraru, Spyridon Bakas, Mariam S Aboian, Peter D Chang, Adam E Flanders, Jayashree Kalpathy-Cramer, Felipe Campos Kitamura, Matthew P Lungren, John T Mongan, Luciano M Prevedello, Ronald M Summers, Carol Chia Chia Wu, Maruf Adewole, Charles E Kahn
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiology. Artificial intelligence 6 (4) (2024)
Brandon K K Fields, Evan Calabrese, John T Mongan, Soonmee Cha, Christopher P Hess, Leo P Sugrue, Susan M Chang, Tracy L Luks, Javier E Villanueva-Meyer, Andreas M Rauschecker, Jeffrey D Rudie
The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma MRI Dataset. Radiology. Artificial intelligence 6 (4) (2024)
Felipe Campos Kitamura, Luciano M Prevedello, Errol Colak, Safwan S Halabi, Matthew P Lungren, Robyn L Ball, Jayashree Kalpathy-Cramer, Charles E Kahn, Tyler Richards, Jason F Talbott, George Shih, Hui Ming Lin, Katherine P Andriole, Maryam Vazirabad, Bradley J Erickson, Adam E Flanders, John T Mongan
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial intelligence (2024)
Adrian P Brady, Bibb Allen, Jaron J R Chong, Elmar Kotter, Nina Kottler, John Mongan, Lauren Oakden-Rayner, Daniel Pinto Dos Santos, An Tang, Christoph Wald, John T Mongan
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA. Radiology. Artificial intelligence 6 (1) (2024)
Marius George Linguraru, Spyridon Bakas, Mariam S Aboian, Peter D Chang, Adam E Flanders, Jayashree Kalpathy-Cramer, Felipe Campos Kitamura, Matthew P Lungren, John T Mongan, Luciano M Prevedello, Ronald M Summers, Carol Chia Chia Wu, Maruf Adewole, Charles E Kahn
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiology. Artificial intelligence (2024)
Jeffrey D Rudie, Rachit Saluja, David A Weiss, Pierre Nedelec, Evan Calabrese, John B Colby, Benjamin Laguna, John T Mongan, Steve Braunstein, Christopher P Hess, Andreas M Rauschecker, Leo P Sugrue, Javier E Villanueva-Meyer
The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset. Radiology. Artificial intelligence 6 (2) (2024)
Carrie K Grouse, Maggie W Waung, A Jay Holmgren, John T Mongan, Aaron B Neinstein, S Andrew Josephson, Raman R Khanna
Behavioral "nudges" in the electronic health record to reduce waste and misuse: 3 interventions. Journal of the American Medical Informatics Association : JAMIA 30 (3) (2023)
Carrie K Grouse, Maggie W Waung, A Jay Holmgren, John T Mongan, Aaron B Neinstein, S Andrew Josephson, Raman R Khanna
Behavioral "nudges" in the electronic health record to reduce waste and misuse: 3 interventions. Journal of the American Medical Informatics Association : JAMIA 30 (3) (2023)
Carrie K Grouse, Maggie W Waung, A Jay Holmgren, John T Mongan, Aaron B Neinstein, S Andrew Josephson, Raman R Khanna
Behavioral "nudges" in the electronic health record to reduce waste and misuse: 3 interventions. Journal of the American Medical Informatics Association : JAMIA 30 (3) (2023)
John T Mongan, Safwan S Halabi
On the Centrality of Data: Data Resources in Radiologic Artificial Intelligence. Radiology. Artificial intelligence 5 (5) (2023)
Ronnie A Sebro, John T Mongan
TotalSegmentator: A Gift to the Biomedical Imaging Community. Radiology. Artificial intelligence 5 (5) (2023)
Evan Calabrese, Javier E Villanueva-Meyer, Jeffrey D Rudie, Andreas M Rauschecker, Ujjwal Baid, Spyridon Bakas, Soonmee Cha, John T Mongan, Christopher P Hess
The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset. Radiology. Artificial intelligence 4 (6) (2022)
John T Mongan, Marc D Kohli, Roozbeh Houshyar, Peter D Chang, Justin Glavis-Bloom, Andrew G Taylor
Automated detection of IVC filters on radiographs with deep convolutional neural networks. Abdominal radiology (New York) (2022)
Evan Calabrese, Javier E Villanueva-Meyer, Jeffrey D Rudie, Andreas M Rauschecker, Ujjwal Baid, Spyridon Bakas, Soonmee Cha, John T Mongan, Christopher P Hess
The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset. Radiology. Artificial intelligence 4 (6) (2022)
Maggie Chung, Evan Calabrese, John T Mongan, Kimberly M Ray, Jessica H Hayward, Tatiana Kelil, Ryan Sieberg, Nola M Hylton, Bonnie N. Joe, Amie Y Lee
Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer. Radiology (2022)
John T Mongan, Achala S Vagal, Carol C Wu
Imaging AI in Practice: Introducing the Special Issue. Radiology. Artificial intelligence 4 (2) (2022)
Sara Merkaj, Ryan C Bahar, Tal Zeevi, Ming-De Lin, Ichiro Ikuta, Khaled Bousabarah, Gabriel I Cassinelli Petersen, Lawrence H Staib, Seyedmehdi Payabvash, John T Mongan, Soonmee Cha, Mariam S Aboian
Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities. Cancers 14 (11) (2022)
Carrie K Grouse, Maggie W Waung, A Jay Holmgren, John T Mongan, Aaron B Neinstein, S Andrew Josephson, Raman R Khanna
Behavioral "nudges" in the electronic health record to reduce waste and misuse: 3 interventions. Journal of the American Medical Informatics Association : JAMIA (2022)
Emily B Tsai, Scott Simpson, Matthew P Lungren, Michelle Hershman, Leonid Roshkovan, Errol Colak, Bradley J Erickson, George Shih, Anouk Stein, Jayashree Kalpathy-Cramer, Jody Shen, Mona Ahmed Fouad Hafez, Susan John, Prabhakar Shantha Rajiah, Brian P Pogatchnik, John T Mongan, Emre Altinmakas, Erik R Ranschaert, Felipe Campos Kitamura, Laurens Topff, Linda Moy, Jeffrey P Kanne, Carol Chia Chia Wu
The RSNA International COVID-19 Open Radiology Database (RICORD). Radiology 299 (1) (2021)
David Eng, Christopher Chute, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Sam Shleifer, Mohamed H Khalaf, Alexander T Sandhu, Fatima Rodriguez, David J Maron, Saeed Seyyedi, Daniele Marin, Ilana Golub, Matthew Budoff, Felipe Campos Kitamura, Marcelo Straus Takahashi, Ross W Filice, Rajesh P Shah, John T Mongan, Kimberly Kallianos, Curtis P Langlotz, Matthew P Lungren, Andrew Y Ng, Bhavik N Patel
Automated coronary calcium scoring using deep learning with multicenter external validation. NPJ digital medicine 4 (1) (2021)
John T Mongan, Jayashree Kalpathy-Cramer, Adam E Flanders, Marius George Linguraru
RSNA-MICCAI Panel Discussion: Machine Learning for Radiology from Challenges to Clinical Applications. Radiology. Artificial intelligence 3 (5) (2021)
John T Mongan, Linda Moy, Charles E Kahn
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers. Radiology. Artificial intelligence 2 (2) (2020)
John T Mongan, Marc D Kohli
Artificial Intelligence and Human Life: Five Lessons for Radiology from the 737 MAX Disasters. Radiology. Artificial intelligence 2 (2) (2020)
Adam E Flanders, Luciano M Prevedello, George Shih, Safwan S Halabi, Jayashree Kalpathy-Cramer, Robyn L Ball, John T Mongan, Anouk Stein, Felipe Campos Kitamura, Matthew P Lungren, Gagandeep Choudhary, Lesley Cala, Luiz Otavio de Mattos Coelho, Monique A Mogensen, Fanny Morón, Elka Miller, Ichiro Ikuta, Vahe Zohrabian, Olivia McDonnell, Christie M Lincoln, Lubdha M Shah, David Joyner, Amit Kumar Agarwal, Ryan K Lee, Jaya Nath, null null
Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge. Radiology. Artificial intelligence 2 (3) (2020)
John T Mongan, David Avrin
Impact of PACS-EMR Integration on Radiologist Usage of the EMR. Journal of digital imaging 31 (5) (2019)
Andrew G Taylor, Clinton Mielke, John T Mongan
Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study. PLoS medicine 15 (11) (2018)