Thomas Schaffter

Publication Activity (10 Years)

Years Active: 1975-2023
Publications (10 Years): 6

Top Topics

Language Processing

Artificial Intelligence In Medicine

Temporal Dependencies

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Timothy Bergquist, Thomas Schaffter, Yao Yan, Thomas Yu, Justin Prosser, Jifan Gao, Guanhua Chen, Lukasz Charzewski, Zofia Nawalany, Ivan Brugere, Renata Retkute, Alidivinas Prusokas, Augustinas Prusokas, Yonghwa Choi, Sanghoon Lee, Junseok Choe, Inggeol Lee, Sunkyu Kim, Jaewoo Kang, Sean D. Mooney, Justin Guinney
Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. J. Am. Medical Informatics Assoc. 31 (1) (2023)
Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert T. Miller, Andrew E. Williams, Daniel R. Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-El-Rub, Dalton Schutte, Rui Zhang, Masoud Rouhizadeh, John D. Osborne, Yongqun He, Umit Topaloglu, Stephanie S. Hong, Joel H. Saltz, Thomas Schaffter, Emily R. Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu
An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). J. Am. Medical Informatics Assoc. 30 (12) (2023)
Yao Yan, Thomas Yu, Kathleen Muenzen, Sijia Liu, Connor Boyle, George Koslowski, Jiaxin Zheng, Nicholas J. Dobbins, Clement Essien, Hongfang Liu, Larsson Omberg, Meliha Yestigen, Bradley Taylor, James A. Eddy, Justin Guinney, Sean D. Mooney, Thomas Schaffter
The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models. CoRR (2022)
Ujjwal Baid, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Evan Calabrese, Errol Colak, Keyvan Farahani, Jayashree Kalpathy-Cramer, Felipe C. Kitamura, Sarthak Pati, Luciano M. Prevedello, Jeffrey D. Rudie, Chiharu Sako, Russell T. Shinohara, Timothy Bergquist, Rong Chai, James Eddy, Julia Elliott, Walter Reade, Thomas Schaffter, Thomas Yu, Jiaxin Zheng, BraTS Annotators, Christos Davatzikos, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, John B. Freymann, Justin S. Kirby, Benedikt Wiestler, Priscila Crivellaro, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Bjoern H. Menze, Adam E. Flanders, Spyridon Bakas
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. CoRR (2021)
Yao Yan, Thomas Schaffter, Timothy Bergquist, Thomas Yu, Justin Prosser, Sean D. Mooney, Justin Guinney
A Continuous Crowd-sourced Challenge for Benchmarking COVID-19 Health Outcome Prediction. AMIA (2021)
Timothy Bergquist, Yao Yan, Thomas Schaffter, Thomas Yu, Vikas Pejaver, Noah Hammarlund, Justin Prosser, Justin Guinney, Sean D. Mooney
Piloting a model-to-data approach to enable predictive analytics in health care through patient mortality prediction. J. Am. Medical Informatics Assoc. 27 (9) (2020)
Thomas Schaffter, Daniel Marbach, Dario Floreano
benchmark generation and performance profiling of network inference methods. Bioinform. 27 (16) (2011)
Daniel Marbach, Thomas Schaffter, Claudio Mattiussi, Dario Floreano
Gene Networks for Performance Assessment of Reverse Engineering Methods. J. Comput. Biol. 16 (2) (2009)
Charles Chihara, Yutang Lin, Thomas Schaffter
A formalization of a nominalistic set theory. J. Philos. Log. 4 (2) (1975)