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Rayyan Azam Khan
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2020 – today
- 2024
- [j10]Minghan Fu
, Ming Fang, Rayyan Azam Khan
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis. Artif. Intell. Medicine 157: 102972 (2024) - 2023
- [j9]Rayyan Azam Khan
Multi-level GAN based enhanced CT scans for liver cancer diagnosis. Biomed. Signal Process. Control. 81: 104450 (2023) - [j8]Rayyan Azam Khan, Minghan Fu
A multi-modal deep neural network for multi-class liver cancer diagnosis. Neural Networks 165: 553-561 (2023) - [c1]Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qingpeng Zhu, Qianhui Sun, Wenxiu Sun, Chen Change Loy, Jinwei Gu, Shuai Liu, Hao Wang, Chaoyu Feng, Luyang Wang, Guangqi Shao, Chenguang Zhang, Xiaotao Wang, Lei Lei, Dafeng Zhang, Xiangyu Kong, Guanqun Liu, Mengmeng Bai, Jia Ouyang, Xiaobing Wang, Jiahui Yuan, Xinpeng Li, Chengzhi Jiang, Ting Jiang, Wenjie Lin, Qi Wu, Mingyan Han, Jinting Luo, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Bo Yan, Zhuang Li, Yadong Li, Hongbin Wang, Soonyong Song, Minghan Fu, Rayyan Azam Khan, Fang-Xiang Wu, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Bo Wang, Yan Luo, Shuaibo Gao, Wenhui Wu, Sicong Kang, Nikhil Akalwadi, Ankit Raichur, Vinod Patil, Allabakash Ghodesawar, Swaroop Adrashyappanamath, Amogh Joshi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Sicheng Li, Ruoxi Zhu, Jiazheng Lian, Shusong Xu, Zihao Liu, Sabari Nathan, Priya Kansal:
MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results. CVPR Workshops 2023: 2853-2863 - 2022
- [j7]Rayyan Azam Khan
RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation. Artif. Intell. Medicine 124: 102231 (2022) - [j6]Rayyan Azam Khan
Multi-scale GAN with residual image learning for removing heterogeneous blur. IET Image Process. 16(9): 2412-2431 (2022) - [j5]Rayyan Azam Khan
Machine learning based liver disease diagnosis: A systematic review. Neurocomputing 468: 492-509 (2022) - [j4]Huma Hamid, Noman Naseer
Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural Networks. Sensors 22(5): 1932 (2022) - [j3]Asma Gulraiz, Noman Naseer
LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI. Sensors 22(7): 2575 (2022) - 2020
- [j2]Hammad Nazeer
Enhancing Classification Performance of fNIRS-BCI by Identifying Cortically Active Channels Using the z-Score Method. Sensors 20(23): 6995 (2020)
2010 – 2019
- 2017
- [j1]Nauman Khalid Qureshi
Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain-Computer Interface Using Adaptive Estimation of General Linear Model Coefficients. Frontiers Neurorobotics 11: 33 (2017)
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