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Naveed Ilyas

Showing results (1-10 of 9) with videos related to

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Sensors (Basel, Switzerland)|June 2, 2021
HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd CountingNaveed Ilyas, Boreom Lee, Kiseon Kim
Sensors (Basel, Switzerland)|December 22, 2019
Convolutional-Neural Network-Based Image Crowd Counting: Review, Categorization, Analysis, and Performance EvaluationNaveed Ilyas, Ahsan Shahzad, Kiseon Kim
Scientific Reports|April 27, 2022
Author Correction: An effective modular approach for crowd counting in an image using convolutional neural networksNaveed Ilyas, Zaheer Ahmad, Boreom Lee, et al.
Scientific Reports|April 7, 2022
An effective modular approach for crowd counting in an image using convolutional neural networksNaveed Ilyas, Zaheer Ahmad, Boreom Lee, et al.
Magnetic Resonance in Medicine|August 5, 2025
Optimization of deep learning-based denoising for arterial spin labeling: Effects of averaging and training strategiesJia Guo, Arun Sharma, Greg Zaharchuk, et al.
Computer Methods and Programs in Biomedicine|July 14, 2023
CervixFormer: A Multi-scale swin transformer-Based cervical pap-Smear WSI classification frameworkAnwar Khan, Seunghyeon Han, Naveed Ilyas, et al.
Scientific Reports|October 29, 2024
CytoNet: an efficient dual attention based automatic prediction of cancer sub types in cytology studiesNaveed Ilyas, Farhat Naseer, Anwar Khan, et al.
Frontiers in Neuroscience|January 26, 2023
A transfer learning approach for multiclass classification of Alzheimer's disease using MRI imagesRizwan Khan, Saeed Akbar, Atif Mehmood, et al.
Sensors (Basel, Switzerland)|November 24, 2015
An Efficient Data-Gathering Routing Protocol for Underwater Wireless Sensor NetworksNadeem Javaid, Naveed Ilyas, Ashfaq Ahmad, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|June 2, 2021
HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd CountingNaveed Ilyas, Boreom Lee, Kiseon Kim
Sensors (Basel, Switzerland)|December 22, 2019
Convolutional-Neural Network-Based Image Crowd Counting: Review, Categorization, Analysis, and Performance EvaluationNaveed Ilyas, Ahsan Shahzad, Kiseon Kim
Scientific Reports|April 27, 2022
Author Correction: An effective modular approach for crowd counting in an image using convolutional neural networksNaveed Ilyas, Zaheer Ahmad, Boreom Lee, et al.
Scientific Reports|April 7, 2022
An effective modular approach for crowd counting in an image using convolutional neural networksNaveed Ilyas, Zaheer Ahmad, Boreom Lee, et al.
Magnetic Resonance in Medicine|August 5, 2025
Optimization of deep learning-based denoising for arterial spin labeling: Effects of averaging and training strategiesJia Guo, Arun Sharma, Greg Zaharchuk, et al.
Computer Methods and Programs in Biomedicine|July 14, 2023
CervixFormer: A Multi-scale swin transformer-Based cervical pap-Smear WSI classification frameworkAnwar Khan, Seunghyeon Han, Naveed Ilyas, et al.
Scientific Reports|October 29, 2024
CytoNet: an efficient dual attention based automatic prediction of cancer sub types in cytology studiesNaveed Ilyas, Farhat Naseer, Anwar Khan, et al.
Frontiers in Neuroscience|January 26, 2023
A transfer learning approach for multiclass classification of Alzheimer's disease using MRI imagesRizwan Khan, Saeed Akbar, Atif Mehmood, et al.
Sensors (Basel, Switzerland)|November 24, 2015
An Efficient Data-Gathering Routing Protocol for Underwater Wireless Sensor NetworksNadeem Javaid, Naveed Ilyas, Ashfaq Ahmad, et al.
Pageof 1