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Rayyan Azam Khan

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

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Artificial Intelligence in Medicine|February 4, 2022
RMS-UNet: Residual multi-scale UNet for liver and lesion segmentationRayyan Azam Khan, Yigang Luo, Fang-Xiang Wu
Neural Networks : the Official Journal of the International Neural Network Society|June 24, 2023
A multi-modal deep neural network for multi-class liver cancer diagnosisRayyan Azam Khan, Minghan Fu, Brent Burbridge, et al.
Neuroscience Letters|March 25, 2017
Optimal feature selection from fNIRS signals using genetic algorithms for BCIFarzan Majeed Noori, Noman Naseer, Nauman Khalid Qureshi, et al.
Artificial Intelligence in Medicine|September 4, 2024
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosisMinghan Fu, Ming Fang, Rayyan Azam Khan, et al.
Sensors (Basel, Switzerland)|April 12, 2022
LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCIAsma Gulraiz, Noman Naseer, Hammad Nazeer, et al.
Frontiers in Neurorobotics|August 4, 2017
Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain-Computer Interface Using Adaptive Estimation of General Linear Model CoefficientsNauman Khalid Qureshi, Noman Naseer, Farzan Majeed Noori, et al.
Sensors (Basel, Switzerland)|March 10, 2022
Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural NetworksHuma Hamid, Noman Naseer, Hammad Nazeer, et al.
Journal of Neuroengineering and Rehabilitation|February 7, 2018
fNIRS-based Neurorobotic Interface for gait rehabilitationRayyan Azam Khan, Noman Naseer, Nauman Khalid Qureshi, et al.
Sensors (Basel, Switzerland)|December 10, 2020
Enhancing Classification Performance of fNIRS-BCI by Identifying Cortically Active Channels Using the z-Score MethodHammad Nazeer, Noman Naseer, Aakif Mehboob, et al.
Journal of Neural Engineering|October 15, 2020
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysisHammad Nazeer, Noman Naseer, Rayyan Azam Khan, et al.
Pageof 1

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

Sort By:
Pageof 1
Artificial Intelligence in Medicine|February 4, 2022
RMS-UNet: Residual multi-scale UNet for liver and lesion segmentationRayyan Azam Khan, Yigang Luo, Fang-Xiang Wu
Neural Networks : the Official Journal of the International Neural Network Society|June 24, 2023
A multi-modal deep neural network for multi-class liver cancer diagnosisRayyan Azam Khan, Minghan Fu, Brent Burbridge, et al.
Neuroscience Letters|March 25, 2017
Optimal feature selection from fNIRS signals using genetic algorithms for BCIFarzan Majeed Noori, Noman Naseer, Nauman Khalid Qureshi, et al.
Artificial Intelligence in Medicine|September 4, 2024
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosisMinghan Fu, Ming Fang, Rayyan Azam Khan, et al.
Sensors (Basel, Switzerland)|April 12, 2022
LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCIAsma Gulraiz, Noman Naseer, Hammad Nazeer, et al.
Frontiers in Neurorobotics|August 4, 2017
Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain-Computer Interface Using Adaptive Estimation of General Linear Model CoefficientsNauman Khalid Qureshi, Noman Naseer, Farzan Majeed Noori, et al.
Sensors (Basel, Switzerland)|March 10, 2022
Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural NetworksHuma Hamid, Noman Naseer, Hammad Nazeer, et al.
Journal of Neuroengineering and Rehabilitation|February 7, 2018
fNIRS-based Neurorobotic Interface for gait rehabilitationRayyan Azam Khan, Noman Naseer, Nauman Khalid Qureshi, et al.
Sensors (Basel, Switzerland)|December 10, 2020
Enhancing Classification Performance of fNIRS-BCI by Identifying Cortically Active Channels Using the z-Score MethodHammad Nazeer, Noman Naseer, Aakif Mehboob, et al.
Journal of Neural Engineering|October 15, 2020
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysisHammad Nazeer, Noman Naseer, Rayyan Azam Khan, et al.
Pageof 1