How Do Registration Parameters Affect Quantitation of Lung Kinematics? - Tessa Sundaram Cook; Nicholas J. Tustison; Jürgen Biederer; Ralf Tetzlaff; James C. Gee (MICCAI (1), 2007)

A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration. - Nicholas J. Tustison; Suyash P. Awate; Gang Song; Tessa Sundaram Cook; James C. Gee (IPMI, 2009)

Point Set Registration Using Havrda-Charvat-Tsallis Entropy Measures. - Nicholas J. Tustison; Suyash P. Awate; Gang Song; Tessa Sundaram Cook; James C. Gee (IEEE Trans. Medical Imaging, 2011)

An Algorithm for Intelligent Sorting of CT-Related Dose Parameters. - Tessa Sundaram Cook; Stefan L. Zimmerman; Scott R. Steingall; William W. Boonn; Woojin Kim (J. Digit. Imaging, 2012)

Using the Microsoft Kinect for Patient Size Estimation and Radiation Dose Normalization: Proof of Concept and Initial Validation. - Tessa Sundaram Cook; Gregory Couch; Timothy J. Couch; Woojin Kim; William W. Boonn (J. Digit. Imaging, 2013)

An Interactive RADIANCE Toolkit for Customizable CT Dose Monitoring and Reporting. - Tessa Sundaram Cook; Anand Sundaram; William W. Boonn; Woojin Kim (J. Digit. Imaging, 2013)

Improving Radiologist-IT Staff Communications and Collaboration Through a Shadowing Project. - Adam Kaye; Tessa Sundaram Cook (J. Digit. Imaging, 2015)

Comparison of diagnostic accuracy of plain film radiographs between original film and smartphone capture: a pilot study. - Mindy Y. Licurse; Sung H. Kim; Woojin Kim; Alexander T. Ruutiainen; Tessa Sundaram Cook (J. Digit. Imaging, 2015)

Toward Data-Driven Radiology Education - Early Experience Building Multi-Institutional Academic Trainee Interpretation Log Database (MATILDA). - Po-Hao Chen 001; Thomas W. Loehfelm; Aaron P. Kamer; Andrew B. Lemmon; Tessa Sundaram Cook; Marc D. Kohli (J. Digit. Imaging, 2016)

The Impact of Imaging Informatics Fellowships. - Geraldine J. Liao; Paul G. Nagy; Tessa Sundaram Cook (J. Digit. Imaging, 2016)

PORTER: a Prototype System for Patient-Oriented Radiology Reporting. - Seong Cheol Oh; Tessa Sundaram Cook; Charles E. Kahn Jr. (J. Digit. Imaging, 2016)

App Review Series: RadioGraphics. - Andreas M. Rauschecker; Tessa Sundaram Cook (J. Digit. Imaging, 2016)

Expanding the Scope of an Automated Radiology Recommendation-Tracking Engine: Initial Experiences and Lessons Learned. - Mindy Y. Licurse; Darco Lalevic; Hanna M. Zafar; Mitchell D. Schnall; Tessa Sundaram Cook (J. Digit. Imaging, 2017)

Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports. - Po-Hao Chen 001; Hanna M. Zafar; Maya Galperin-Aizenberg; Tessa Sundaram Cook (J. Digit. Imaging, 2018)

Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning. - Jackson M. Steinkamp; Charles Chambers; Darco Lalevic; Hanna M. Zafar; Tessa Sundaram Cook (J. Digit. Imaging, 2019)

A Survey of Imaging Informatics Fellowships and Their Curricula: Current State Assessment. - Brianna L. Vey; Tessa Sundaram Cook; Paul G. Nagy; Richard J. Bruce; Ross W. Filice; Kenneth C. Wang; Nabile M. Safdar (J. Digit. Imaging, 2019)

Automating Import and Reconciliation of Outside Examinations Submitted to an Academic Radiology Department. - Ameena Elahi; Donovan Reid; Regina O. Redfern; Charles E. Kahn; Tessa Sundaram Cook (J. Digit. Imaging, 2020)

Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification. - Robert Lou; Darco Lalevic; Charles Chambers; Hanna M. Zafar; Tessa Sundaram Cook (J. Digit. Imaging, 2020)

Imaging Informatics Fellowship Curriculum: a Survey to Identify Core Topics and Potential Inter-Program Areas of Collaboration. - 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 (J. Digit. Imaging, 2020)

The Role of Imaging Informatics in Disaster Preparedness During the COVID-19 Pandemic. - Bryce Lowery; Sameer Sandhu; Tessa Sundaram Cook; Prasanth Prasanna (J. Digit. Imaging, 2021)

Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. - Jeffrey D. Rudie; Jeffrey T. Duda; Michael Tran Duong; Po-Hao Chen 001; Long Xie; Robert Kurtz; Jeffrey B. Ware; Joshua Choi; Raghav R. Mattay; Emmanuel J. Botzolakis; James C. Gee; R. Nick Bryan; et al. (J. Digit. Imaging, 2021)

Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports. - Jackson M. Steinkamp; Charles Chambers; Darco Lalevic; Tessa Sundaram Cook (J. Digit. Imaging, 2021)

Current State of Community-Driven Radiological AI Deployment in Medical Imaging. - 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; et al. (CoRR, 2022)

Ensemble Approaches to Recognize Protected Health Information in Radiology Reports. - Hannah Horng; Jackson M. Steinkamp; Charles E. Kahn; Tessa Sundaram Cook (J. Digit. Imaging, 2022)

RAISE - Radiology AI Safety, an End-to-end lifecycle approach. - 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; et al. (CoRR, 2023)

Automated deidentification of radiology reports combining transformer and "hide in plain sight" rule-based methods. - Pierre J. Chambon; Christopher Wu; Jackson M. Steinkamp; Jason Adleberg; Tessa Sundaram Cook; Curtis P. Langlotz (J. Am. Medical Informatics Assoc., 2023)

Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports. - Pierre J. Chambon; Tessa Sundaram Cook; Curtis P. Langlotz (J. Digit. Imaging, 2023)

Imaging Informatics Fellowship Curriculum: Building Consensus on the Most Critical Topics and the Future of the Informatics Fellowship. - 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 (J. Digit. Imaging, 2023)

The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs. - 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; S. F. Ferraciolli; et al. (J. Digit. Imaging, 2023)