Tessa Sundaram Cook

32 papers Journal 30Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RSNA Large Language Model Benchmark Dataset for Chest Radiographs of Cardiothoracic Disease: Radiologist Evaluation and Validation Enhanced by AI Labels (REVEAL-CXR). CoRR Yishu Wei, Adam E. Flanders, Errol Colak, John Mongan, Luciano M. Prevedello, Po-Hao Chen, Henrique Min Ho Lee, Gilberto Szarf, Hamilton Shoji, Jason Sho, Katherine P. Andriole, Tessa Sundaram Cook, Lisa C. Adams, Linda C. Chu, Maggie Chung, Geraldine Brusca-Augello, Djeven P. Deva, Navneet Singh, Felipe Antonio Sanchez Tijmes, Jeffrey B. Alpert, Elsie T. Nguyen, Drew A. Torigian, Kate Hanneman, Lauren K. Groner, Alexander Phan, Ali Islam, Matias F. Callejas, Gustavo Borges da Silva Teles, Faisal Jamal, Maryam Vazirabad, Ali Tejani, Hari Trivedi, Paulo Eduardo de Aguiar Kuriki, Rajesh Bhayana, Elana T. Benishay, Yi Lin, Yifan Peng, George Shih
2025	J	`jnl`	From Revisions to Insights: Converting Radiology Report Revisions into Actionable Educational Feedback Using Generative AI Models. J. Imaging Inform. Medicine Shawn Lyo, Suyash Mohan, Alvand Hassankhani, Abass Noor, Farouk Dako, Tessa Sundaram Cook
2025	J	`jnl`	Improving the Performance of Radiology Report De-identification with Large-Scale Training and Benchmarking Against Cloud Vendor Methods. CoRR Eva Prakash, Maayane Attias, Pierre J. Chambon, Justin Xu, Steven Q. H. Truong, Jean-Benoit Delbrouck, Tessa Sundaram Cook, Curtis Langlotz
2023	J	`jnl`	Automated deidentification of radiology reports combining transformer and "hide in plain sight" rule-based methods. J. Am. Medical Informatics Assoc. Pierre J. Chambon, Christopher Wu, Jackson M. Steinkamp, Jason Adleberg, Tessa Sundaram Cook, Curtis P. Langlotz
2023	J	`jnl`	Imaging Informatics Fellowship Curriculum: Building Consensus on the Most Critical Topics and the Future of the Informatics Fellowship. J. Digit. Imaging Roger Gerard, Valeria Makeeva, Brianna L. Vey, Tessa Sundaram Cook, Paul G. Nagy, Ross W. Filice, Kenneth C. Wang, Patricia C. Balthazar, Peter Harri, Nabile M. Safdar
2023	J	`jnl`	Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports. J. Digit. Imaging Pierre J. Chambon, Tessa Sundaram Cook, Curtis P. Langlotz
2023	J	`jnl`	RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR M. Jorge Cardoso, Julia Moosbauer, Tessa Sundaram Cook, Barbaros Selnur Erdal, Brad W. Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sébastien Ourselin, Franz Pfister
2023	J	`jnl`	The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs. J. Digit. Imaging Paras Lakhani, J. Mongan, Chinmay Singhal, Q. Zhou, Katherine P. Andriole, William F. Auffermann, Prasanth Prasanna, Theresa X. Pham, Michael Peterson, P. J. Bergquist, Tessa Sundaram Cook, Suely Fazio Ferraciolli, G. C. A. Corradi, MS Takahashi, C. S. Workman, Maansi R. Parekh, S. I. Kamel, Joaquin Galant, A. Mas-Sanchez, E. C. Benítez, M. Sánchez-Valverde, L. Jaques, M. Panadero, M. Vidal, M. Culiañez-Casas, D. Angulo-Gonzalez, Steve G. Langer, María de la Iglesia-Vayá, George Shih
2022	J	`jnl`	Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez, Ralf Floca, Laurence Jackson, Brad W. Genereaux, Sidney Bryson, Christopher P. Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, M. Jorge Cardoso, Sébastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D. White, Tessa Sundaram Cook, David Bericat, Matthew P. Lungren, Risto Haukioja, Haris Shuaib
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
2021	J	`jnl`	Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports. J. Digit. Imaging Jackson M. Steinkamp, Charles Chambers, Darco Lalevic, Tessa Sundaram Cook
2021	J	`jnl`	Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. J. Digit. Imaging Jeffrey D. Rudie, Jeffrey T. Duda, Michael Tran Duong, Po-Hao Chen, Long Xie, Robert Kurtz, Jeffrey B. Ware, Joshua Choi, Raghav R. Mattay, Emmanuel J. Botzolakis, James C. Gee, R. Nick Bryan, Tessa Sundaram Cook, Suyash Mohan, Ilya M. Nasrallah, Andreas M. Rauschecker
2021	J	`jnl`	The Role of Imaging Informatics in Disaster Preparedness During the COVID-19 Pandemic. J. Digit. Imaging Bryce Lowery, Sameer Sandhu, Tessa Sundaram Cook, Prasanth Prasanna
2020	J	`jnl`	Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification. J. Digit. Imaging Robert Lou, Darco Lalevic, Charles Chambers, Hanna M. Zafar, Tessa Sundaram Cook
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
2020	J	`jnl`	Imaging Informatics Fellowship Curriculum: a Survey to Identify Core Topics and Potential Inter-Program Areas of Collaboration. J. Digit. Imaging Valeria Makeeva, Brianna L. Vey, Tessa Sundaram Cook, Paul G. Nagy, Ross W. Filice, Kenneth C. Wang, Patricia C. Balthazar, Peter Harri, Nabile M. Safdar
2019	J	`jnl`	A Survey of Imaging Informatics Fellowships and Their Curricula: Current State Assessment. J. Digit. Imaging Brianna L. Vey, Tessa Sundaram Cook, Paul G. Nagy, Richard J. Bruce, Ross W. Filice, Kenneth C. Wang, Nabile M. Safdar
2019	J	`jnl`	Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning. J. Digit. Imaging Jackson M. Steinkamp, Charles Chambers, Darco Lalevic, Hanna M. Zafar, Tessa Sundaram Cook
2018	J	`jnl`	Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports. J. Digit. Imaging Po-Hao Chen, Hanna M. Zafar, Maya Galperin-Aizenberg, Tessa Sundaram Cook
2017	J	`jnl`	Expanding the Scope of an Automated Radiology Recommendation-Tracking Engine: Initial Experiences and Lessons Learned. J. Digit. Imaging Mindy Y. Licurse, Darco Lalevic, Hanna M. Zafar, Mitchell D. Schnall, Tessa Sundaram Cook
2016	J	`jnl`	App Review Series: RadioGraphics. J. Digit. Imaging Andreas M. Rauschecker, Tessa Sundaram Cook
2016	J	`jnl`	PORTER: a Prototype System for Patient-Oriented Radiology Reporting. J. Digit. Imaging Seong Cheol Oh, Tessa Sundaram Cook, Charles E. Kahn Jr.
2016	J	`jnl`	The Impact of Imaging Informatics Fellowships. J. Digit. Imaging Geraldine J. Liao, Paul G. Nagy, Tessa Sundaram Cook
2016	J	`jnl`	Toward Data-Driven Radiology Education - Early Experience Building Multi-Institutional Academic Trainee Interpretation Log Database (MATILDA). J. Digit. Imaging Po-Hao Chen, Thomas W. Loehfelm, Aaron P. Kamer, Andrew B. Lemmon, Tessa Sundaram Cook, Marc D. Kohli
2015	J	`jnl`	Comparison of diagnostic accuracy of plain film radiographs between original film and smartphone capture: a pilot study. J. Digit. Imaging Mindy Y. Licurse, Sung H. Kim, Woojin Kim, Alexander T. Ruutiainen, Tessa Sundaram Cook
2015	J	`jnl`	Improving Radiologist-IT Staff Communications and Collaboration Through a Shadowing Project. J. Digit. Imaging Adam Kaye, Tessa Sundaram Cook
2013	J	`jnl`	An Interactive RADIANCE Toolkit for Customizable CT Dose Monitoring and Reporting. J. Digit. Imaging Tessa Sundaram Cook, Anand Sundaram, William W. Boonn, Woojin Kim
2013	J	`jnl`	Using the Microsoft Kinect for Patient Size Estimation and Radiation Dose Normalization: Proof of Concept and Initial Validation. J. Digit. Imaging Tessa Sundaram Cook, Gregory Couch, Timothy J. Couch, Woojin Kim, William W. Boonn
2012	J	`jnl`	An Algorithm for Intelligent Sorting of CT-Related Dose Parameters. J. Digit. Imaging Tessa Sundaram Cook, Stefan L. Zimmerman, Scott R. Steingall, William W. Boonn, Woojin Kim
2011	J	`jnl`	Point Set Registration Using Havrda-Charvat-Tsallis Entropy Measures. IEEE Trans. Medical Imaging Nicholas J. Tustison, Suyash P. Awate, Gang Song, Tessa Sundaram Cook, James C. Gee
2009	—	`conf`	A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration. IPMI Nicholas J. Tustison, Suyash P. Awate, Gang Song, Tessa Sundaram Cook, James C. Gee
2007	—	`conf`	How Do Registration Parameters Affect Quantitation of Lung Kinematics? MICCAI (1) Tessa Sundaram Cook, Nicholas J. Tustison, Jürgen Biederer, Ralf Tetzlaff, James C. Gee