Charles E. Kahn

29 papers B 1Misc 4Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Large Language Model to Detect Negated Expressions in Radiology Reports. J. Imaging Inform. Medicine Yvonne Su, Yonatan B. Babore, Charles E. Kahn
2025	J	`jnl`	Automated Integration of AI Results into Radiology Reports Using Common Data Elements. J. Imaging Inform. Medicine Garv Mehdiratta, Jeffrey T. Duda, Ameena Elahi, Arijitt Borthakur, Neil Chatterjee, James C. Gee, Hersh Sagreiya, Walter R. Witschey, Charles E. Kahn
2024	—	`conf`	Towards a Formal Description of Artificial Intelligence Models and Datasets in Radiology. AIME (2) Charles E. Kahn, Abhinav Suri, Safwan Halabi, Hari Trivedi
2023	J	`jnl`	Automated detection of causal relationships among diseases and imaging findings in textual radiology reports. J. Am. Medical Informatics Assoc. Ronnie A. Sebro, Charles E. Kahn
2023	J	`jnl`	General-Purpose vs. Domain-Adapted Large Language Models for Extraction of Data from Thoracic Radiology Reports. CoRR Ali H. Dhanaliwala, Rikhiya Ghosh, Sanjeev Kumar Karn, Poikavila Ullaskrishnan, Oladimeji Farri, Dorin Comaniciu, Charles E. Kahn
2023	B	`conf`	Integrating Ontological Knowledge with Probability Data to Aid Diagnosis in Radiology. AIME Charles E. Kahn
2023	J	`jnl`	Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. CoRR Elisa Warner, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn, Olivier Gevaert, Arvind Rao
2023	—	`conf`	SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification. PRIME@MICCAI Michael S. Yao, Allison Chae, Matthew T. MacLean, Anurag Verma, Jeffrey T. Duda, James C. Gee, Drew A. Torigian, Daniel J. Rader, Charles E. Kahn, Walter R. Witschey, Hersh Sagreiya
2023	J	`jnl`	Understanding metric-related pitfalls in image analysis validation. CoRR Annika Reinke, Minu 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, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, 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, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
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`	Correction to: Journal of Digital Imaging. J. Digit. Imaging Ross W. Filice, Charles E. Kahn
2022	J	`jnl`	Ensemble Approaches to Recognize Protected Health Information in Radiology Reports. J. Digit. Imaging Hannah Horng, Jackson M. Steinkamp, Charles E. Kahn, Tessa Sundaram Cook
2022	J	`jnl`	Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes. CoRR Michael S. Yao, Allison Chae, Matthew T. MacLean, Anurag Verma, Jeffrey T. Duda, James C. Gee, Drew A. Torigian, Daniel J. Rader, Charles E. Kahn, Walter R. Witschey, Hersh Sagreiya
2022	J	`jnl`	Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger
2021	J	`jnl`	Biomedical Ontologies to Guide AI Development in Radiology. J. Digit. Imaging Ross W. Filice, Charles E. Kahn
2021	J	`jnl`	Common Limitations of Image Processing Metrics: A Picture Story. CoRR Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein
2020	J	`jnl`	Automating Import and Reconciliation of Outside Examinations Submitted to an Academic Radiology Department. J. Digit. Imaging Ameena Elahi, Donovan Reid, Regina O. Redfern, Charles E. Kahn, Tessa Sundaram Cook
2017	Misc	`conf`	The Best of Imaging Informatics Research 2017. AMIA William Hsu, Charles E. Kahn
2016	Misc	`conf`	The Best of Imaging Informatics Research 2016. AMIA William Hsu, Charles E. Kahn
2015	Misc	`conf`	The Best of Imaging Informatics Research 2015. AMIA Charles E. Kahn, Bradley J. Erickson
2011	J	`jnl`	Ontology-Assisted Analysis of Web Queries to Determine the Knowledge Radiologists Seek. J. Digit. Imaging Daniel L. Rubin, Adam E. Flanders, Woojin Kim, Khan M. Siddiqui, Charles E. Kahn
2008	J	`jnl`	Dynamic "Inline" Images: Context-Sensitive Retrieval and Integration of Images into Web Documents. J. Digit. Imaging Charles E. Kahn
2008	J	`jnl`	Effective Metadata Discovery for Dynamic Filtering of Queries to a Radiology Image Search Engine. J. Digit. Imaging Charles E. Kahn
2007	J	`jnl`	A Presentation System for Just-in-time Learning in Radiology. J. Digit. Imaging Charles E. Kahn, Amadeu Santos, Cheng Thao, Jayson J. Rock, Paul G. Nagy, Kevin C. Ehlers
2006	J	`jnl`	An Ontology for PACS Integration. J. Digit. Imaging Charles E. Kahn, David S. Channin, Daniel L. Rubin
2006	J	`jnl`	Radiologists' Preferences for Just-in-Time Learning. J. Digit. Imaging Charles E. Kahn, Kevin C. Ehlers, Beverly P. Wood
2005	J	`jnl`	Collaborative Filtering to Improve Navigation of Large Radiology Knowledge Resources. J. Digit. Imaging Charles E. Kahn
2000	J	`jnl`	Design and implementation of an Internet-based health information resource. Comput. Methods Programs Biomed. Charles E. Kahn
2000	Misc	`conf`	Synergy of "Push" and "Pull" Technologies in a Consumer Health Information Resource. AMIA Gary Barnas, Ann W. Stodder, Charles E. Kahn