Ronald M Summers

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 81

Top Topics

Body Composition

Convolutional Neural Network

Computed Tomography

Abdominal Aortic

Top Venues

Radiology. Artificial intelligence

BJR artificial intelligence

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

Publications

Ravi K Samala, Karen Drukker, Amita Shukla-Dave, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Hayit Greenspan, Usman Mahmood, Ronald M Summers, Georgia Tourassi, Thomas M Deserno, Daniele Regge, Janne J Näppi, Hiroyuki Yoshida, Zhimin Huo, Quan Chen, Daniel Vergara, Kenny H Cha, Richard Mazurchuk, Kevin T Grizzard, Henkjan J Huisman, Lia Morra, Kenji Suzuki, Samuel G Armato, Lubomir Hadjiiski
AI and machine learning in medical imaging: key points from development to translation. BJR artificial intelligence 1 (1) (2024)
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Dominik T Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M Rafelski, Nasir M Rajpoot, Mauricio Reyes, Michael A Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Ronald M Summers, Abdel A Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Ziv Rafael Yaniv, Paul F Jaeger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. Nature methods 21 (2) (2024)
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Dominik T Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M Rafelski, Nasir M Rajpoot, Mauricio Reyes, Michael A Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Ronald M Summers, Abdel A Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Ziv Rafael Yaniv, Paul F Jaeger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. Nature methods 21 (2) (2024)
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Dominik T Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M Rafelski, Nasir M Rajpoot, Mauricio Reyes, Michael A Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Ronald M Summers, Abdel A Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Ziv Rafael Yaniv, Paul F Jaeger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. Nature methods 21 (2) (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)
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Dominik T Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M Rafelski, Nasir M Rajpoot, Mauricio Reyes, Michael A Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Ronald M Summers, Abdel A Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Ziv Rafael Yaniv, Paul F Jaeger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. Nature methods 21 (2) (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)
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Dominik T Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M Rafelski, Nasir M Rajpoot, Mauricio Reyes, Michael A Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Ronald M Summers, Abdel A Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Ziv Rafael Yaniv, Paul F Jaeger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. Nature methods 21 (2) (2024)
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Dominik T Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M Rafelski, Nasir M Rajpoot, Mauricio Reyes, Michael A Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Ronald M Summers, Abdel A Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Ziv Rafael Yaniv, Paul F Jaeger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. Nature methods 21 (2) (2024)
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Kenny H Cha, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, Zhimin Huo, Ronald M Summers, Kenny H Cha, Georgia Tourassi, Thomas M Deserno, Kevin T Grizzard, Janne J Näppi, Hiroyuki Yoshida, Daniele Regge, Richard Mazurchuk, Kenji Suzuki, Lia Morra, Henkjan Huisman, Samuel G Armato, Lubomir Hadjiiski
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR artificial intelligence 1 (1) (2024)
Daniel Liu, John W Garrett, Alberto A Perez, Ryan Zea, Neil C Binkley, Ronald M Summers, Perry J. Pickhardt
Fully automated CT imaging biomarkers for opportunistic prediction of future hip fractures. The British journal of radiology 97 (1156) (2024)
Daniel Liu, John W Garrett, Alberto A Perez, Ryan Zea, Neil C Binkley, Ronald M Summers, Perry J. Pickhardt
Fully automated CT imaging biomarkers for opportunistic prediction of future hip fractures. The British journal of radiology 97 (1156) (2024)
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Dominik T Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M Rafelski, Nasir M Rajpoot, Mauricio Reyes, Michael A Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Ronald M Summers, Abdel A Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Ziv Rafael Yaniv, Paul F Jaeger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. Nature methods 21 (2) (2024)
Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A Riegler, Manuel Wiesenfarth, A Emre Kavur, Carole H Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B Blaschko, M Jorge Cardoso, Veronika Cheplygina, Beth A Cimini, Gary Stephen Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Dominik T Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Peter Mattson, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir M Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Paul F Jaeger
Metrics reloaded: recommendations for image analysis validation. Nature methods 21 (2) (2024)
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Dominik T Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M Rafelski, Nasir M Rajpoot, Mauricio Reyes, Michael A Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Ronald M Summers, Abdel A Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Ziv Rafael Yaniv, Paul F Jaeger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. Nature methods (2024)
Abhinav Suri, Ronald M Summers
Privacy, Please: Safeguarding Medical Data in Imaging AI Using Differential Privacy Techniques. Radiology. Artificial intelligence 6 (1) (2024)
Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A Riegler, Manuel Wiesenfarth, A Emre Kavur, Carole H Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B Blaschko, M Jorge Cardoso, Veronika Cheplygina, Beth A Cimini, Gary Stephen Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Dominik T Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Peter Mattson, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir M Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Paul F Jaeger
Metrics reloaded: recommendations for image analysis validation. Nature methods 21 (2) (2024)
Abhinav Suri, Ronald M Summers
Privacy, Please: Safeguarding Medical Data in Imaging AI Using Differential Privacy Techniques. Radiology. Artificial intelligence 6 (1) (2024)
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Kenny H Cha, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, Zhimin Huo, Ronald M Summers, Kenny H Cha, Georgia Tourassi, Thomas M Deserno, Kevin T Grizzard, Janne J Näppi, Hiroyuki Yoshida, Daniele Regge, Richard Mazurchuk, Kenji Suzuki, Lia Morra, Henkjan Huisman, Samuel G Armato, Lubomir Hadjiiski
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR artificial intelligence 1 (1) (2024)
Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A Riegler, Manuel Wiesenfarth, A Emre Kavur, Carole H Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B Blaschko, M Jorge Cardoso, Veronika Cheplygina, Beth A Cimini, Gary Stephen Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Dominik T Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Peter Mattson, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir M Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Paul F Jaeger
Metrics reloaded: recommendations for image analysis validation. Nature methods (2024)
Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A Riegler, Manuel Wiesenfarth, A Emre Kavur, Carole H Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B Blaschko, M Jorge Cardoso, Veronika Cheplygina, Beth A Cimini, Gary Stephen Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Dominik T Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Peter Mattson, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir M Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Paul F Jaeger
Metrics reloaded: recommendations for image analysis validation. Nature methods 21 (2) (2024)
Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A Riegler, Manuel Wiesenfarth, A Emre Kavur, Carole H Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B Blaschko, M Jorge Cardoso, Veronika Cheplygina, Beth A Cimini, Gary Stephen Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Dominik T Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Peter Mattson, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir M Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Paul F Jaeger
Metrics reloaded: recommendations for image analysis validation. Nature methods 21 (2) (2024)
Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A Riegler, Manuel Wiesenfarth, A Emre Kavur, Carole H Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B Blaschko, M Jorge Cardoso, Veronika Cheplygina, Beth A Cimini, Gary Stephen Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Dominik T Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Peter Mattson, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir M Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Paul F Jaeger
Metrics reloaded: recommendations for image analysis validation. Nature methods 21 (2) (2024)
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Dominik T Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M Rafelski, Nasir M Rajpoot, Mauricio Reyes, Michael A Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Ronald M Summers, Abdel A Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Ziv Rafael Yaniv, Paul F Jaeger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. Nature methods 21 (2) (2024)
Ravi K Samala, Karen Drukker, Amita Shukla-Dave, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Hayit Greenspan, Usman Mahmood, Ronald M Summers, Georgia Tourassi, Thomas M Deserno, Daniele Regge, Janne J Näppi, Hiroyuki Yoshida, Zhimin Huo, Quan Chen, Daniel Vergara, Kenny H Cha, Richard Mazurchuk, Kevin T Grizzard, Henkjan J Huisman, Lia Morra, Kenji Suzuki, Samuel G Armato, Lubomir Hadjiiski
AI and machine learning in medical imaging: key points from development to translation. BJR artificial intelligence 1 (1) (2024)
Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A Riegler, Manuel Wiesenfarth, A Emre Kavur, Carole H Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B Blaschko, M Jorge Cardoso, Veronika Cheplygina, Beth A Cimini, Gary Stephen Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Dominik T Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Peter Mattson, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir M Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Paul F Jaeger
Metrics reloaded: recommendations for image analysis validation. Nature methods 21 (2) (2024)
Abhinav Suri, Ronald M Summers
Privacy, Please: Safeguarding Medical Data in Imaging AI Using Differential Privacy Techniques. Radiology. Artificial intelligence 6 (1) (2024)
Daniel Liu, John W Garrett, Alberto A Perez, Ryan Zea, Neil C Binkley, Ronald M Summers, Perry J. Pickhardt
Fully automated CT imaging biomarkers for opportunistic prediction of future hip fractures. The British journal of radiology 97 (1156) (2024)
Abhinav Suri, Ronald M Summers
Privacy, Please: Safeguarding Medical Data in Imaging AI Using Differential Privacy Techniques. 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 6 (4) (2024)
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Dominik T Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M Rafelski, Nasir M Rajpoot, Mauricio Reyes, Michael A Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Ronald M Summers, Abdel A Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Ziv Rafael Yaniv, Paul F Jaeger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. Nature methods 21 (2) (2024)
Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A Riegler, Manuel Wiesenfarth, A Emre Kavur, Carole H Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B Blaschko, M Jorge Cardoso, Veronika Cheplygina, Beth A Cimini, Gary Stephen Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Dominik T Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Peter Mattson, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir M Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Paul F Jaeger
Metrics reloaded: recommendations for image analysis validation. Nature methods 21 (2) (2024)
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Kenny H Cha, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, Zhimin Huo, Ronald M Summers, Kenny H Cha, Georgia Tourassi, Thomas M Deserno, Kevin T Grizzard, Janne J Näppi, Hiroyuki Yoshida, Daniele Regge, Richard Mazurchuk, Kenji Suzuki, Lia Morra, Henkjan Huisman, Samuel G Armato, Lubomir Hadjiiski
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR artificial intelligence 1 (1) (2024)
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Dominik T Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M Rafelski, Nasir M Rajpoot, Mauricio Reyes, Michael A Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Ronald M Summers, Abdel A Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Ziv Rafael Yaniv, Paul F Jaeger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. Nature methods 21 (2) (2024)
Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A Riegler, Manuel Wiesenfarth, A Emre Kavur, Carole H Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B Blaschko, M Jorge Cardoso, Veronika Cheplygina, Beth A Cimini, Gary Stephen Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Dominik T Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Peter Mattson, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir M Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Paul F Jaeger
Metrics reloaded: recommendations for image analysis validation. Nature methods 21 (2) (2024)
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Dominik T Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M Rafelski, Nasir M Rajpoot, Mauricio Reyes, Michael A Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Ronald M Summers, Abdel A Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Ziv Rafael Yaniv, Paul F Jaeger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. Nature methods 21 (2) (2024)
Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A Riegler, Manuel Wiesenfarth, A Emre Kavur, Carole H Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B Blaschko, M Jorge Cardoso, Veronika Cheplygina, Beth A Cimini, Gary Stephen Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Dominik T Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Peter Mattson, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir M Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Paul F Jaeger
Metrics reloaded: recommendations for image analysis validation. Nature methods 21 (2) (2024)
Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A Riegler, Manuel Wiesenfarth, A Emre Kavur, Carole H Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B Blaschko, M Jorge Cardoso, Veronika Cheplygina, Beth A Cimini, Gary Stephen Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Dominik T Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Peter Mattson, Erik Meijering, Bjoern H Menze, Karel G M Moons, Henning Muller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir M Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gael Varoquaux, Paul F Jaeger
Metrics reloaded: recommendations for image analysis validation. Nature methods 21 (2) (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)
Devina Chatterjee, Thomas C Shen, Pritam Mukherjee, Sungwon Lee, John W Garrett, Nicholas Zacharias, Perry J Pickhardt, Ronald M Summers
Automated detection of incidental abdominal aortic aneurysms on computed tomography. Abdominal radiology (New York) (2023)
Maxime Nachit, Yves Horsmans, Ronald M Summers, Isabelle A Leclercq, Perry J. Pickhardt
AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults. Radiology (2023)
Perry J. Pickhardt, Ronald M Summers, John W Garrett, Arun Krishnaraj, Sheela Agarwal, Keith J Dreyer, Gregory N Nicola
Opportunistic Screening: Radiology Scientific Expert Panel. Radiology (2023)
Ronald M Summers
Radiomics to Predict Microvascular Invasion in Hepatocellular Carcinoma: A Promising Biomarker for Tumor Recurrence. Radiology 307 (4) (2023)
Ronald M Summers
Radiomics to Predict Microvascular Invasion in Hepatocellular Carcinoma: A Promising Biomarker for Tumor Recurrence. Radiology 307 (4) (2023)
Pritam Mukherjee, Sungwon Lee, Daniel C Elton, Perry J Pickhardt, Ronald M Summers
Longitudinal follow-up of incidental renal calculi on computed tomography. Abdominal radiology (New York) (2023)
Pritam Mukherjee, Benjamin Hou, Ricardo B Lanfredi, Ronald M Summers
Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports. Radiology 309 (1) (2023)
Ronald M Summers
Radiomics to Predict Microvascular Invasion in Hepatocellular Carcinoma: A Promising Biomarker for Tumor Recurrence. Radiology (2023)
Fernanda Gutierrez-Rodrigues, Eric Munger, Xiaoyang Ma, Emma M Groarke, Youbao Tang, Bhavisha A Patel, Luis Fernando B Catto, Diego Villa Clé, Marena R Niewisch, Raquel Ma Paiva, Flavia Donaires, André Luiz Pinto, Gustavo Borges, Barbara A Santana, Lisa J McReynolds, Neelam Giri, Burak Altintas, Xing Fan, Ruba N Shalhoub, Christopher Mark Siwy, Carrie Diamond, Diego Quinones Raffo, Kathleen Marie Craft, Sachiko Kajigaya, Ronald M Summers, Paul P Liu, Lea Cunningham, Dennis D Hickstein, Cynthia E Dunbar, Ricardo Pasquini, Michel Michels de Oliveira, Elvira Deolinda Rodrigues Pereira Velloso, Blanche P Alter, Sharon A Savage, Carmem Maria Sales Bonfim, Colin O Wu, Rodrigo do Tocantins Calado, Neal S Young
Differential diagnosis of bone marrow failure syndromes guided by machine learning. Blood (2022)
Fernanda Gutierrez-Rodrigues, Eric Munger, Xiaoyang Ma, Emma M Groarke, Youbao Tang, Bhavisha A Patel, Luis Fernando B Catto, Diego Villa Clé, Marena R Niewisch, Raquel Ma Paiva, Flavia Donaires, André Luiz Pinto, Gustavo Borges, Barbara A Santana, Lisa J McReynolds, Neelam Giri, Burak Altintas, Xing Fan, Ruba N Shalhoub, Christopher Mark Siwy, Carrie Diamond, Diego Quinones Raffo, Kathleen Marie Craft, Sachiko Kajigaya, Ronald M Summers, Paul P Liu, Lea Cunningham, Dennis D Hickstein, Cynthia E Dunbar, Ricardo Pasquini, Michel Michels de Oliveira, Elvira Deolinda Rodrigues Pereira Velloso, Blanche P Alter, Sharon A Savage, Carmem Maria Sales Bonfim, Colin O Wu, Rodrigo do Tocantins Calado, Neal S Young
Differential diagnosis of bone marrow failure syndromes guided by machine learning. Blood (2022)
Ronald M Summers, Maryellen L Giger
SPIE Computer-Aided Diagnosis conference anniversary review. Journal of medical imaging (Bellingham, Wash.) 9 (Suppl 1) (2022)
Perry J. Pickhardt, Thang Nguyen, Alberto A Perez, Peter M Graffy, Samuel Jang, Ronald M Summers, John W Garrett
Improved CT-based Osteoporosis Assessment with a Fully Automated Deep Learning Tool. Radiology. Artificial intelligence 4 (5) (2022)
Sungwon Lee, Daniel C Elton, James L Gulley, Perry J Pickhardt, William L Dahut, Ravi A Madan, Peter A Pinto, Deborah E Citrin, Ronald M Summers
Assessment of Aortoiliac Atherosclerotic Plaque on CT in Prostate Cancer Patients Undergoing Treatment. Tomography (Ann Arbor, Mich.) 8 (2) (2022)
Omid Shafaat, Yi Liu, Kyle R Jackson, Jennifer D Motter, Brian J Boyarsky, Muhammad A Latif, Frank Yuan, Adham Khalil, Elizabeth A King, Atif Zaheer, Ronald M Summers, Dorry L Segev, Mara Ann McAdams-DeMarco, Clifford R Weiss
Association between Abdominal CT Measurements of Body Composition before Deceased Donor Liver Transplant with Posttransplant Outcomes. Radiology (2022)
Sung-Won Lee, Daniel C Elton, Alexander H Yang, Christopher Koh, David E Kleiner, Meghan G Lubner, Perry J. Pickhardt, Ronald M Summers
Fully Automated and Explainable Liver Segmental Volume Ratio and Spleen Segmentation at CT for Diagnosing Cirrhosis. Radiology. Artificial intelligence 4 (5) (2022)
Matthew H Lee, Ryan Zea, John W Garrett, Peter M Graffy, Ronald M Summers, Perry J. Pickhardt
Abdominal CT Body Composition Thresholds Using Automated AI Tools for Predicting 10-year Adverse Outcomes. Radiology (2022)
Robert M Nishikawa, Thomas M Deserno, Anant Madabhushi, Elizabeth A Krupinski, Ronald M Summers, Christoph Hoeschen, Claudia Mello-Thoms, Kyle J Myers, Mathew A Kupinski, Jeffrey H Siewerdsen
Fifty years of SPIE Medical Imaging proceedings papers. Journal of medical imaging (Bellingham, Wash.) 9 (Suppl 1) (2022)
Hima Tallam, Daniel C Elton, Sung-Won Lee, Paul G Wakim, Perry J. Pickhardt, Ronald M Summers
Fully Automated Abdominal CT Biomarkers for Type 2 Diabetes Using Deep Learning. Radiology 304 (1) (2022)
Ahmad Shafiei, Mohammad Hadi Bagheri, Faraz Farhadi, Andrea B Apolo, Nadia M Biassou, Les R Folio, Elizabeth C Jones, Ronald M Summers
CT Evaluation of Lymph Nodes That Merge or Split during the Course of a Clinical Trial: Limitations of RECIST 1.1. Radiology. Imaging cancer 3 (3) (2021)
Marius George Linguraru, Lena Maier-Hein, Ronald M Summers, Charles E Kahn
RSNA-MICCAI Panel Discussion: 2. Leveraging the Full Potential of AI-Radiologists and Data Scientists Working Together. Radiology. Artificial intelligence 3 (6) (2021)
Perry J. Pickhardt, Ronald M Summers, John W Garrett
Automated CT-Based Body Composition Analysis: A Golden Opportunity. Korean journal of radiology 22 (12) (2021)
Perry J. Pickhardt, Peter M Graffy, Alberto A Perez, Meghan G Lubner, Daniel C Elton, Ronald M Summers
Opportunistic Screening at Abdominal CT: Use of Automated Body Composition Biomarkers for Added Cardiometabolic Value. Radiographics : a review publication of the Radiological Society of North America, Inc 41 (2) (2021)
Alberto A Perez, Victoria Noe-Kim, Meghan G Lubner, Peter M Graffy, John W Garrett, Daniel C Elton, Ronald M Summers, Perry J. Pickhardt
Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly. Radiology (2021)
Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Ronald M Summers, Daniel Ruckert
Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity-weighted coil combination. Magnetic resonance in medicine 86 (4) (2021)
Ronald M Summers
Imaging Biomarkers to Assess Response to Immune Checkpoint Inhibitors in Solid Tumors to Tailor Therapy. Radiology 299 (1) (2021)
Martin J Willemink, Wojciech A Koszek, Cailin Hardell, Jie Wu, Dominik Fleischmann, Hugh Harvey, Les R Folio, Ronald M Summers, Daniel L Rubin, Matthew P Lungren
Preparing Medical Imaging Data for Machine Learning. Radiology 295 (1) (2020)
Mauricio Reyes, Raphael Meier, Sergio Pereira, Carlos A Silva, Fried-Michael Dahlweid, Hendrik von Tengg-Kobligk, Ronald M Summers, Roland Wiest
On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities. Radiology. Artificial intelligence 2 (3) (2020)
Yifan Peng, Yuxing Tang, Sung-Won Lee, Yingying Zhu, Ronald M Summers, Zhiyong Lu
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature. IEEE transactions on big data 7 (1) (2020)
Perry J. Pickhardt, Peter M Graffy, Ryan Zea, Scott J Lee, Jiamin Liu, Veit Sandfort, Ronald M Summers
Automated Abdominal CT Imaging Biomarkers for Opportunistic Prediction of Future Major Osteoporotic Fractures in Asymptomatic Adults. Radiology 297 (1) (2020)
Ronald M Summers
Nomograms for Automated Body Composition Analysis: A Crucial Step for Routine Clinical Implementation. Radiology 298 (2) (2020)
Ronald M Summers
Artificial Intelligence of COVID-19 Imaging: A Hammer in Search of a Nail. Radiology 298 (3) (2020)
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N Galtier, Bennett A Landman, Klaus H Maier-Hein, Sébastien Ourselin, Micah Sheller, Ronald M Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M Jorge Cardoso
The future of digital health with federated learning. NPJ digital medicine 3 (2020)
Chia-Ying Liu, Jianhua Yao, William C Kovacs, Joseph A Shrader, Galen Joe, Ronald Ouwerkerk, Ami K Mankodi, William A Gahl, Ronald M Summers, Nuria Carrillo-Carrasco
Skeletal Muscle Magnetic Resonance Biomarkers in GNE Myopathy. Neurology 96 (5) (2020)
Yu-Xing Tang, You-Bao Tang, Yifan Peng, Ke Yan, Mohammadhadi Bagheri, Bernadette A Redd, Catherine J Brandon, Zhiyong Lu, Mei Han, Jing Xiao, Ronald M Summers
Automated abnormality classification of chest radiographs using deep convolutional neural networks. NPJ digital medicine 3 (2020)
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N Galtier, Bennett A Landman, Klaus H Maier-Hein, Sébastien Ourselin, Micah Sheller, Ronald M Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M Jorge Cardoso
The future of digital health with federated learning. NPJ digital medicine 3 (1) (2020)
Ronald M Summers
Are we at a crossroads or a plateau? Radiomics and machine learning in abdominal oncology imaging. Abdominal radiology (New York) 44 (6) (2020)
Joseph E Burns, Jianhua Yao, Ronald M Summers
Artificial Intelligence in Musculoskeletal Imaging: A Paradigm Shift. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research 35 (1) (2019)
Samuel Jang, Peter M Graffy, Timothy J Ziemlewicz, Scott J Lee, Ronald M Summers, Perry J. Pickhardt
Opportunistic Osteoporosis Screening at Routine Abdominal and Thoracic CT: Normative L1 Trabecular Attenuation Values in More than 20 000 Adults. Radiology 291 (2) (2019)
Peter M Graffy, Veit Sandfort, Ronald M Summers, Perry J. Pickhardt
Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment. Radiology 293 (2) (2019)
Ruida Cheng, Nathan Lay, Holger R Roth, Baris Turkbey, Dakai Jin, William Gandler, Evan S McCreedy, Tom Pohida, Peter Pinto, Peter Choyke, Matthew J McAuliffe, Ronald M Summers
Fully automated prostate whole gland and central gland segmentation on MRI using holistically nested networks with short connections. Journal of medical imaging (Bellingham, Wash.) 6 (2) (2019)
Yohan Sumathipala, Nathan Lay, Baris Turkbey, Clayton Smith, Peter L Choyke, Ronald M Summers
Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks. Journal of medical imaging (Bellingham, Wash.) 5 (4) (2018)
Ronald M Summers
Deep Learning Lends a Hand to Pediatric Radiology. Radiology 287 (1) (2018)