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ORCIDTessa Sundaram Cook
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- affiliation: University of Pennsylvania, Philadelphia, PA, USA
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2020 – today
- 2023
[j25]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): 318-328 (2023)- [j24]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): 1-10 (2023) - [j23]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): 164-177 (2023) - [j22]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, 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): 365-372 (2023) - [i2]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 abs/2311.14570 (2023) - 2022
- [j21]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): 1694-1698 (2022) - [i1]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:
Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR abs/2212.14177 (2022) - 2021
- [j20]Bryce Lowery, Sameer Sandhu, Tessa Sundaram Cook, Prasanth Prasanna:
The Role of Imaging Informatics in Disaster Preparedness During the COVID-19 Pandemic. J. Digit. Imaging 34(2): 330-336 (2021) - [j19]Jackson M. Steinkamp, Charles Chambers, Darco Lalevic, Tessa Sundaram Cook:
Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports. J. Digit. Imaging 34(2): 374-384 (2021) - [j18]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): 1049-1058 (2021) - 2020
- [j17]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): 131-136 (2020) - [j16]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): 355-360 (2020) - [j15]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: a Survey to Identify Core Topics and Potential Inter-Program Areas of Collaboration. J. Digit. Imaging 33(2): 547-553 (2020)
2010 – 2019
- 2019
- [j14]Brianna L. Vey, Tessa Sundaram Cook, Paul G. Nagy, Richard 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): 91-96 (2019) - [j13]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): 554-564 (2019) - 2018
- [j12]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): 178-184 (2018) - 2017
- [j11]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): 156-162 (2017) - 2016
- [j10]Andreas M. Rauschecker, Tessa Sundaram Cook:
App Review Series: RadioGraphics. J. Digit. Imaging 29(3): 279-283 (2016) - [j9]Geraldine J. Liao, Paul G. Nagy, Tessa Sundaram Cook:
The Impact of Imaging Informatics Fellowships. J. Digit. Imaging 29(4): 438-442 (2016) - [j8]Seong Cheol Oh, Tessa Sundaram Cook, Charles E. Kahn Jr.:
PORTER: a Prototype System for Patient-Oriented Radiology Reporting. J. Digit. Imaging 29(4): 450-454 (2016) - [j7]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): 638-644 (2016) - 2015
- [j6]Adam Kaye, Tessa Sundaram Cook:
Improving Radiologist-IT Staff Communications and Collaboration Through a Shadowing Project. J. Digit. Imaging 28(4): 433-438 (2015) - [j5]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): 646-653 (2015) - 2013
- [j4]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): 657-662 (2013) - [j3]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): 663-667 (2013) - 2012
- [j2]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): 179-188 (2012) - 2011
- [j1]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): 451-460 (2011)
2000 – 2009
- 2009
- [c2]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: 215-226 - 2007
- [c1]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: 817-824
Coauthor Index
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