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We acknowledge all the contributions from the following collaborators:
Shihao Yang, Yaxi Luo , Meng Jiao, Jun-En Ding from Stevens Institute of Technology, Neel Fotedar from UH Cleveland Medical Center and Case Western, Felix Rosenow from Goethe-University, Vikram R. Rao and Danilo Bernardo from UCSF, Xinglong Ju from SUU, Shasha Wu from UChicago, Xiaochen Xian from Georgia Tech, Hai Sun from Rutgers, Ioannis Karakis from Emory and University of Crete, Melissa Asma, Jack J. Lin and Orwa Aboud from UC Davis, Yuxin Wen from Chapman University, Fang-Ming Hung from Far Eastern Memorial Hospital, Joshua Laing and Patrick Kwan from Monash University.
Specially thanks to Shihao Yang, Yaxi Luo, Meng Jiao for their hard work, and Xinglong Ju who helped develop the webpage of EpiSemoLLM. Thanks to Dr. Rosenow for his great support.
Specially thanks to Shihao Yang, Yaxi Luo, Meng Jiao for their hard work, and Xinglong Ju who helped develop the webpage of EpiSemoLLM. Thanks to Dr. Rosenow for his great support.
Reference
[1] Meng Jiao, Yaxi Luo, Neel Fotedar, Jun-En Ding, Ioannis Karakis, Vikram R Rao, Melissa Asmar, Xiaochen Xian, Orwa Aboud, Yuxin Wen, Jack J Lin, Hai Sun, Felix Rosenow, Feng Liu*, Is ChatGPT Better Than Epileptologists at Interpreting Seizure Semiology? medRxiv, 2024.04. 13.24305773, DOI: https://doi.org/10.1101/2024.04.13.24305773
[2] Shihao Yang, Yaxi Luo, Meng Jiao, Neel Fotedar, Vikram R. Rao, Xinglong Ju, Shasha Wu, Xiaochen Xian, Hai Sun, Ioannis Karakis, Danilo Bernardo, Josh Laing, Patrick Kwan, Felix Rosenow, and Feng Liu*, EpiSemoLLM: A Fine-tuned Large Language Model for Epileptogenic Zone Localization Based on Seizure Semiology with a Performance Comparable to Epileptologists, MEDRXIV, https://doi.org/10.1101/2024.09.16.24313764
[2] Shihao Yang, Yaxi Luo, Meng Jiao, Neel Fotedar, Vikram R. Rao, Xinglong Ju, Shasha Wu, Xiaochen Xian, Hai Sun, Ioannis Karakis, Danilo Bernardo, Josh Laing, Patrick Kwan, Felix Rosenow, and Feng Liu*, EpiSemoLLM: A Fine-tuned Large Language Model for Epileptogenic Zone Localization Based on Seizure Semiology with a Performance Comparable to Epileptologists, MEDRXIV, https://doi.org/10.1101/2024.09.16.24313764
Collaborators
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