Tessa Sundaram Cook

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 19

Top Topics

Natural Language

Inter Disciplinary

Top Venues

J. Digit. Imaging

J. Am. Medical Informatics Assoc.

Publications

Paras Lakhani, J. Mongan, C. Singhal, Q. Zhou, Katherine P. Andriole, William F. Auffermann, Prasanth Prasanna, T. X. Pham, Michael Peterson, P. J. Bergquist, Tessa Sundaram Cook, S. F. 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
The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs. J. Digit. Imaging 36 (1) (2023)
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
RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR (2023)
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
Imaging Informatics Fellowship Curriculum: Building Consensus on the Most Critical Topics and the Future of the Informatics Fellowship. J. Digit. Imaging 36 (1) (2023)
Pierre J. Chambon, Tessa Sundaram Cook, Curtis P. Langlotz
Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports. J. Digit. Imaging 36 (1) (2023)
Pierre J. Chambon, Christopher Wu, Jackson M. Steinkamp, Jason Adleberg, Tessa Sundaram Cook, Curtis P. Langlotz
Automated deidentification of radiology reports combining transformer and "hide in plain sight" rule-based methods. J. Am. Medical Informatics Assoc. 30 (2) (2023)
Hannah Horng, Jackson M. Steinkamp, Charles E. Kahn, Tessa Sundaram Cook
Ensemble Approaches to Recognize Protected Health Information in Radiology Reports. J. Digit. Imaging 35 (6) (2022)
Jackson M. Steinkamp, Charles Chambers, Darco Lalevic, Tessa Sundaram Cook
Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports. J. Digit. Imaging 34 (2) (2021)
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
Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. J. Digit. Imaging 34 (4) (2021)
Ameena Elahi, Donovan Reid, Regina O. Redfern, Charles E. Kahn, Tessa Sundaram Cook
Automating Import and Reconciliation of Outside Examinations Submitted to an Academic Radiology Department. J. Digit. Imaging 33 (2) (2020)
Robert Lou, Darco Lalevic, Charles Chambers, Hanna M. Zafar, Tessa Sundaram Cook
Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification. J. Digit. Imaging 33 (1) (2020)
Valeria Makeeva, Brianna L. Vey, Tessa Sundaram Cook, Paul G. Nagy, Ross W. Filice, Kenneth C. Wang, Patricia C. Balthazar, P. Harri, Nabile M. Safdar
Imaging Informatics Fellowship Curriculum: a Survey to Identify Core Topics and Potential Inter-Program Areas of Collaboration. J. Digit. Imaging 33 (2) (2020)
Brianna L. Vey, Tessa Sundaram Cook, Paul G. Nagy, R. J. Bruce, Ross W. Filice, Kenneth C. Wang, Nabile M. Safdar
A Survey of Imaging Informatics Fellowships and Their Curricula: Current State Assessment. J. Digit. Imaging 32 (1) (2019)
Jackson M. Steinkamp, Charles Chambers, Darco Lalevic, Hanna M. Zafar, Tessa Sundaram Cook
Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning. J. Digit. Imaging 32 (4) (2019)
Po-Hao Chen, Hanna M. Zafar, Maya Galperin-Aizenberg, Tessa Sundaram Cook
Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports. J. Digit. Imaging 31 (2) (2018)
Mindy Y. Licurse, Darco Lalevic, Hanna M. Zafar, Mitchell D. Schnall, Tessa Sundaram Cook
Expanding the Scope of an Automated Radiology Recommendation-Tracking Engine: Initial Experiences and Lessons Learned. J. Digit. Imaging 30 (2) (2017)
Geraldine J. Liao, Paul G. Nagy, Tessa Sundaram Cook
The Impact of Imaging Informatics Fellowships. J. Digit. Imaging 29 (4) (2016)
Seong Cheol Oh, Tessa Sundaram Cook, Charles E. Kahn Jr.
PORTER: a Prototype System for Patient-Oriented Radiology Reporting. J. Digit. Imaging 29 (4) (2016)
Po-Hao Chen, Thomas W. Loehfelm, Aaron P. Kamer, Andrew B. Lemmon, Tessa Sundaram Cook, Marc D. Kohli
Toward Data-Driven Radiology Education - Early Experience Building Multi-Institutional Academic Trainee Interpretation Log Database (MATILDA). J. Digit. Imaging 29 (6) (2016)
Andreas M. Rauschecker, Tessa Sundaram Cook
App Review Series: RadioGraphics. J. Digit. Imaging 29 (3) (2016)
Adam Kaye, Tessa Sundaram Cook
Improving Radiologist-IT Staff Communications and Collaboration Through a Shadowing Project. J. Digit. Imaging 28 (4) (2015)
Mindy Y. Licurse, Sung H. Kim, Woojin Kim, Alexander T. Ruutiainen, Tessa Sundaram Cook
Comparison of diagnostic accuracy of plain film radiographs between original film and smartphone capture: a pilot study. J. Digit. Imaging 28 (6) (2015)
Tessa Sundaram Cook, Anand Sundaram, William W. Boonn, Woojin Kim
An Interactive RADIANCE Toolkit for Customizable CT Dose Monitoring and Reporting. J. Digit. Imaging 26 (4) (2013)
Tessa Sundaram Cook, Gregory Couch, Timothy J. Couch, Woojin Kim, William W. Boonn
Using the Microsoft Kinect for Patient Size Estimation and Radiation Dose Normalization: Proof of Concept and Initial Validation. J. Digit. Imaging 26 (4) (2013)
Tessa Sundaram Cook, Stefan L. Zimmerman, Scott R. Steingall, William W. Boonn, Woojin Kim
An Algorithm for Intelligent Sorting of CT-Related Dose Parameters. J. Digit. Imaging 25 (1) (2012)
Nicholas J. Tustison, Suyash P. Awate, Gang Song, Tessa Sundaram Cook, James C. Gee
Point Set Registration Using Havrda-Charvat-Tsallis Entropy Measures. IEEE Trans. Medical Imaging 30 (2) (2011)
Nicholas J. Tustison, Suyash P. Awate, Gang Song, Tessa Sundaram Cook, James C. Gee
A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration. IPMI (2009)
Tessa Sundaram Cook, Nicholas J. Tustison, Jürgen Biederer, Ralf Tetzlaff, James C. Gee
How Do Registration Parameters Affect Quantitation of Lung Kinematics? MICCAI (1) (2007)