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Tapsya Nayak

Showing results (1-10 of 8) with videos related to

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BMC Medical Informatics and Decision Making|June 20, 2022
On the role of deep learning model complexity in adversarial robustness for medical imagesDavid Rodriguez, Tapsya Nayak, Yidong Chen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Detection of control or idle state with a likelihood ratio test in asynchronous SSVEP-based brain-computer interface systemsLenis M Merino, Tapsya Nayak, Garrett Hall, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Prediction of temperature induced office worker's performance during typing task using EEGTapsya Nayak, Tinghe Zhang, Zijing Mao, et al.
Frontiers in Integrative Neuroscience|November 29, 2024
Onset timing of letter processing in auditory and visual sensory corticesTommi Raij, Fa-Hsuan Lin, Benjamin Letham, et al.
Brain Sciences|April 26, 2018
Prediction of Human Performance Using Electroencephalography under Different Indoor Room TemperaturesTapsya Nayak, Tinghe Zhang, Zijing Mao, et al.
Computational and Structural Biotechnology Journal|July 30, 2025
Cell type prediction with neighborhood-enhanced cellular embedding using deep learning on hematoxylin and eosin-stained imagesNam Nhut Phan, Hanzhou Wang, Tapsya Nayak, et al.
Patterns (New York, N.Y.)|February 19, 2024
shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learningLi-Ju Wang, Michael Ning, Tapsya Nayak, et al.
Bioinformatics Advances|June 26, 2023
DepLink: an R Shiny app to systematically link genetic and pharmacologic dependencies of cancerTapsya Nayak, Li-Ju Wang, Michael Ning, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
BMC Medical Informatics and Decision Making|June 20, 2022
On the role of deep learning model complexity in adversarial robustness for medical imagesDavid Rodriguez, Tapsya Nayak, Yidong Chen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Detection of control or idle state with a likelihood ratio test in asynchronous SSVEP-based brain-computer interface systemsLenis M Merino, Tapsya Nayak, Garrett Hall, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Prediction of temperature induced office worker's performance during typing task using EEGTapsya Nayak, Tinghe Zhang, Zijing Mao, et al.
Frontiers in Integrative Neuroscience|November 29, 2024
Onset timing of letter processing in auditory and visual sensory corticesTommi Raij, Fa-Hsuan Lin, Benjamin Letham, et al.
Brain Sciences|April 26, 2018
Prediction of Human Performance Using Electroencephalography under Different Indoor Room TemperaturesTapsya Nayak, Tinghe Zhang, Zijing Mao, et al.
Computational and Structural Biotechnology Journal|July 30, 2025
Cell type prediction with neighborhood-enhanced cellular embedding using deep learning on hematoxylin and eosin-stained imagesNam Nhut Phan, Hanzhou Wang, Tapsya Nayak, et al.
Patterns (New York, N.Y.)|February 19, 2024
shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learningLi-Ju Wang, Michael Ning, Tapsya Nayak, et al.
Bioinformatics Advances|June 26, 2023
DepLink: an R Shiny app to systematically link genetic and pharmacologic dependencies of cancerTapsya Nayak, Li-Ju Wang, Michael Ning, et al.
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