Syed Furqan Qadri
Syed Furqan Qadri
Zhejiang Lab
Verified email at - Homepage
Cited by
Cited by
Breast cancer classification from histopathological images using patch-based deep learning modeling
I Hirra, M Ahmad, A Hussain, MU Ashraf, IA Saeed, SF Qadri, ...
IEEE Access 9, 24273-24287, 2021
Deep belief network modeling for automatic liver segmentation
M Ahmad, D Ai, G Xie, SF Qadri, H Song, Y Huang, Y Wang, J Yang
IEEE Access 7, 20585-20595, 2019
Success factors influencing requirements change management process in global software development
MA Akbar, J Sang, AA Khan, S Mahmood, SF Qadri, H Hu, H Xiang
Journal of Computer Languages 51, 112-130, 2019
Automatic deep feature learning via patch-based deep belief network for vertebrae segmentation in CT images
S Furqan Qadri, D Ai, G Hu, M Ahmad, Y Huang, Y Wang, J Yang
Applied Sciences 9 (1), 69, 2019
A lightweight convolutional neural network model for liver segmentation in medical diagnosis
M Ahmad, SF Qadri, S Qadri, IA Saeed, SS Zareen, Z Iqbal, A Alabrah, ...
Computational Intelligence and Neuroscience 2022, 2022
CT-Based Automatic Spine Segmentation Using Patch-Based Deep Learning
SF Qadri, H Lin, L Shen, M Ahmad, S Qadri, S Khan, M Khan, SS Zareen, ...
International Journal of Intelligent Systems 2023, 2023
OP-convNet: a patch classification-based framework for CT vertebrae segmentation
SF Qadri, L Shen, M Ahmad, S Qadri, SS Zareen, S Khan
IEEE Access 9, 158227-158240, 2021
SVseg: Stacked sparse autoencoder-based patch classification modeling for vertebrae segmentation
SF Qadri, L Shen, M Ahmad, S Qadri, SS Zareen, MA Akbar
Mathematics 10 (5), 796, 2022
Deep-stacked auto encoder for liver segmentation
M Ahmad, J Yang, D Ai, SF Qadri, Y Wang
Advances in Image and Graphics Technologies: 12th Chinese conference, IGTA …, 2018
Applications, challenges, security of wireless body area networks (WBANs) and functionality of IEEE 802.15. 4/ZIGBEE
SF Qadri, SA Awan, M Amjad, M Anwar, S Shehzad
Sci. Int.(Lahore) 25 (4), 697-702, 2013
Convolutional-neural-network-based feature extraction for liver segmentation from CT images
M Ahmad, Y Ding, SF Qadri, J Yang
Eleventh International Conference on Digital Image Processing (ICDIP 2019 …, 2019
Towards roadmap to implement blockchain in healthcare systems based on a maturity model
MA Akbar, V Leiva, S Rafi, SF Qadri, S Mahmood, A Alsanad
Journal of Software: Evolution and Process 34 (12), e2500, 2022
Multisource data fusion framework for land use/land cover classification using machine vision
S Qadri, DM Khan, SF Qadri, A Razzaq, N Ahmad, M Jamil, ...
Journal of Sensors 2017, 2017
Vertebrae segmentation via stacked sparse autoencoder from computed tomography images
SF Qadri, Z Zhao, D Ai, M Ahmad, Y Wang
Eleventh International Conference on Digital Image Processing (ICDIP 2019 …, 2019
Machine vision approach for classification of citrus leaves using fused features
S Qadri, S Furqan Qadri, M Husnain, MM Saad Missen, DM Khan, ...
International Journal of Food Properties 22 (1), 2072-2089, 2019
Green computing and energy consumption issues in the modern age
M Anwar, SF Qadri, AR Sattar
IOSR Journal of Computer Engineering 12 (6), 91-98, 2013
Automated lung-related pneumonia and COVID-19 detection based on novel feature extraction framework and vision transformer approaches using chest X-ray images
CC Ukwuoma, Z Qin, MBB Heyat, F Akhtar, A Smahi, JK Jackson, ...
Bioengineering 9 (11), 709, 2022
Machine vision approach for classification of rice varieties using texture features
S Qadri, T Aslam, SA Nawaz, N Saher, A Razzaq, M Ur Rehman, ...
International Journal of Food Properties 24 (1), 1615-1630, 2021
Deep belief network based vertebra segmentation for CT images
SF Qadri, M Ahmad, D Ai, J Yang, Y Wang
Image and Graphics Technologies and Applications: 13th Conference on Image …, 2018
A comparative study of land cover classification by using multispectral and texture data
S Qadri, DM Khan, F Ahmad, SF Qadri, ME Babar, M Shahid, ...
BioMed research international 2016, 2016
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