Zobrazeno 1 - 10
of 6 225
pro vyhledávání: '"Ziaei, A."'
Utilization of intracranial electroencephalography (iEEG) is rapidly increasing for clinical and brain-computer interface applications. iEEG facilitates the recording of neural activity with high spatial and temporal resolution, making it a desirable
Externí odkaz:
http://arxiv.org/abs/2408.14477
Autor:
Schmidgall, Samuel, Ziaei, Rojin, Harris, Carl, Reis, Eduardo, Jopling, Jeffrey, Moor, Michael
Evaluating large language models (LLM) in clinical scenarios is crucial to assessing their potential clinical utility. Existing benchmarks rely heavily on static question-answering, which does not accurately depict the complex, sequential nature of c
Externí odkaz:
http://arxiv.org/abs/2405.07960
Autor:
Ziaei, Navid, Stim, Joshua J., Goodman-Keiser, Melanie D., Sponheim, Scott, Widge, Alik S., Krikorian, Sasoun, Yousefi, Ali
Non-parametric models, such as Gaussian Processes (GP), show promising results in the analysis of complex data. Their applications in neuroscience data have recently gained traction. In this research, we introduce a novel neural decoder model built u
Externí odkaz:
http://arxiv.org/abs/2405.05424
Autor:
Schmidgall, Samuel, Harris, Carl, Essien, Ime, Olshvang, Daniel, Rahman, Tawsifur, Kim, Ji Woong, Ziaei, Rojin, Eshraghian, Jason, Abadir, Peter, Chellappa, Rama
There is increasing interest in the application large language models (LLMs) to the medical field, in part because of their impressive performance on medical exam questions. While promising, exam questions do not reflect the complexity of real patien
Externí odkaz:
http://arxiv.org/abs/2402.08113
Publikováno v:
IEEE Access, vol. 12, pp. 113314-113335, 2024
Extracting meaningful information from high-dimensional data poses a formidable modeling challenge, particularly when the data is obscured by noise or represented through different modalities. This research proposes a novel non-parametric modeling ap
Externí odkaz:
http://arxiv.org/abs/2401.16497
Autor:
Ziaei, Hanieh
Publikováno v:
Diplomatie, 2024 May 01(127), 80-81.
Externí odkaz:
https://www.jstor.org/stable/48793812
Autor:
Ziaei, Rojin, Schmidgall, Samuel
Large language models (LLMs) are becoming increasingly relevant as a potential tool for healthcare, aiding communication between clinicians, researchers, and patients. However, traditional evaluations of LLMs on medical exam questions do not reflect
Externí odkaz:
http://arxiv.org/abs/2309.09362
Autor:
Siamak Zarei-Ghanavati, Marzieh Najjaran, Samira Hassanzadeh, Mehdi Khabazkhoob, Akilesh Gokul, Mohammed Ziaei
Publikováno v:
Journal of Current Ophthalmology, Vol 36, Iss 1, Pp 54-60 (2024)
Purpose To evaluate the repeatability of a pyramidal wavefront-based refraction (WFR) measurement and its agreement with dry autorefraction (DR), cycloplegic autorefraction (CR), and subjective refraction (SR) in myopic refractive surgery candidates.
Externí odkaz:
https://doaj.org/article/6a31599cc0be4edb9c9b19e2ba864bc4
Trainees’ perspectives and recommendations for catalyzing the next generation of NeuroAI researchers
Autor:
Andrea I. Luppi, Jascha Achterberg, Samuel Schmidgall, Isil Poyraz Bilgin, Peer Herholz, Maximilian Sprang, Benjamin Fockter, Andrew Siyoon Ham, Sushrut Thorat, Rojin Ziaei, Filip Milisav, Alexandra M. Proca, Hanna M. Tolle, Laura E. Suárez, Paul Scotti, Helena M. Gellersen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-7 (2024)
At this critical juncture in the development of NeuroAI, we outline challenges and training needs of junior researchers working across AI and neuroscience. We also provide advice and resources to help trainees plan their NeuroAI careers.
Externí odkaz:
https://doaj.org/article/4d00e88d4168494f95302ff60b8133c9
Autor:
Samuel Schmidgall, Carl Harris, Ime Essien, Daniel Olshvang, Tawsifur Rahman, Ji Woong Kim, Rojin Ziaei, Jason Eshraghian, Peter Abadir, Rama Chellappa
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract Increasing interest in applying large language models (LLMs) to medicine is due in part to their impressive performance on medical exam questions. However, these exams do not capture the complexity of real patient–doctor interactions becau
Externí odkaz:
https://doaj.org/article/8fe0a749a2ee4756b334bf9db44db74e