Tessa Sundaram Cook

According to our database, Tessa Sundaram Cook authored at least 29 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, C. 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, 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

J. Digit. Imaging, February, 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, February, 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, February, 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., January, 2023

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, Sébastien Ourselin, Franz Pfister

CoRR, 2023

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

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, 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

CoRR, 2022

2021

Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports.

Jackson M. Steinkamp, Charles Chambers, Darco Lalevic, Tessa Sundaram Cook

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, 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

J. Digit. Imaging, 2021

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

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

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

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

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

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

2018

Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports.

Po-Hao Chen, Hanna M. Zafar, Maya Galperin-Aizenberg, Tessa Sundaram Cook

J. Digit. Imaging, 2018

2017

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

2016

App Review Series: RadioGraphics.

Andreas M. Rauschecker, 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

The Impact of Imaging Informatics Fellowships.

Geraldine J. Liao, Paul G. Nagy, Tessa Sundaram Cook

J. Digit. Imaging, 2016

Toward Data-Driven Radiology Education - Early Experience Building Multi-Institutional Academic Trainee Interpretation Log Database (MATILDA).

Po-Hao Chen, Thomas W. Loehfelm, Aaron P. Kamer, Andrew B. Lemmon, Tessa Sundaram Cook, Marc D. Kohli

J. Digit. Imaging, 2016

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

Improving Radiologist-IT Staff Communications and Collaboration Through a Shadowing Project.

Adam Kaye, Tessa Sundaram Cook

J. Digit. Imaging, 2015

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

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

2012

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

2011

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

2009

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

Proceedings of the Information Processing in Medical Imaging, 2009

2007

How Do Registration Parameters Affect Quantitation of Lung Kinematics?

Tessa Sundaram Cook, Nicholas J. Tustison, Jürgen Biederer, Ralf Tetzlaff, James C. Gee

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007