Publications
T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation
T Khan, A Robles-Kelly, S Naqvi
(2022), pp. 1799-1808, IEEE/CVF 2022: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, Waikoloa, HI., E1
Khuram Naveed, Faizan Abdullah, Hussain Madni, Mohammad Khan, Tariq Khan, Syed Naqvi
(2021), Vol. 11, pp. 1-27, Diagnostics, Basel, Switzerland, C1
Screening of Glaucoma disease from retinal vessel images using semantic segmentation
R Imtiaz, T Khan, S Naqvi, M Arsalan, S Nawaz
(2021), Vol. 91, pp. 1-17, Computers and electrical engineering, Amsterdam, The Netherlands, C1
A Review on Glaucoma Disease Detection Using Computerized Techniques
Faizan Abdullah, Rakhshanda Imtiaz, Hussain Madni, Haroon Khan, Tariq Khan, Mohammad Khan, Syed Naqvi
(2021), Vol. 9, pp. 37311-37333, IEEE Access, Piscataway, NJ, C1
T Khan, A Robles-Kelly, S Naqvi, M Arsalan
(2021), Vol. 12644, pp. 324-333, S+SSPR 2021 : Structural, Syntactic, and Statistical Pattern Recognition. Joint IAPR Workshops Proceedings, Padua, Italy, E1
RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation
T Khan, A Robles-Kelly, S Naqvi
(2021), pp. 606-612, DICTA 2021 : Proceedings of the Digital Image Computing: Techniques and Application Conference, Gold Coast, Australia, E1
Naila Mukhtar, Apostolos Fournaris, Tariq Khan, Charis Dimopoulos, Yinan Kong
(2020), Vol. 8, pp. 184298-184311, IEEE Access, Piscataway, N.J., C1
A region growing and local adaptive thresholding-based optic disc detection.
Tariq Khan, Mehwish Mehmood, Syed Naqvi, Muhammad Butt
(2020), Vol. 15, pp. 1-16, PLoS One, San Francisco, Calif., C1-1
Accurate Pixel-Wise Skin Segmentation Using Shallow Fully Convolutional Neural Network
K Minhas, T Khan, M Arsalan, S Naqvi, M Ahmed, H Khan, M Haider, A Haseeb
(2020), Vol. 8, pp. 156314-156327, IEEE Access, Piscataway, N.J., C1-1
Residual Connection-Based Encoder Decoder Network (RCED-Net) for Retinal Vessel Segmentation
T Khan, M Alhussein, K Aurangzeb, M Arsalan, S Naqvi, S Nawaz
(2020), Vol. 8, pp. 131257-131272, IEEE Access, Piscataway, N.J., C1-1
CDED-Net: Joint Segmentation of Optic Disc and Optic Cup for Glaucoma Screening
M Tabassum, T Khan, M Arsalan, S Naqvi, M Ahmed, H Madni, J Mirza
(2020), Vol. 8, pp. 102733-102747, IEEE Access, Piscataway, N.J., C1-1
Reducing computational complexity in fingerprint matching
Mubeen Sabir, Tariq Khan, Munazza Arshad, Sana Munawar
(2020), Vol. 28, pp. 2538-2551, Turkish journal of electrical engineering and computer sciences, Ankara, Turkey, C1-1
Real-time iris segmentation and its implementation on FPGA
T Khan, D Bailey, M Khan, Y Kong
(2020), Vol. 17, pp. 1089-1102, Journal of real-time image processing, Berlin, Germany, C1-1
Masood Aslam, Tariq Khan, Syed Naqvi, Geoff Holmes, Rafea Naffa
(2020), Vol. 8, pp. 198600-198614, IEEE Access, Piscataway, N.J., C1-1
Machine Learning: Quantum vs Classical
T Khan, A Robles-Kelly
(2020), Vol. 8, pp. 219275-219294, IEEE Access, C1
M Razzak, Ghosia Shoukat, Saeeda Naz, Tariq Khan
(2020), pp. 1-8, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1
One-class support tensor machines with bounded hinge loss function for anomaly detection
M Razzak, Tariq Khan
(2020), pp. 1-8, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1
Tariq Khan, Syed Naqvi, Muhammad Arsalan, Muhamamd Khan, Haroon Khan, Adnan Haider
(2020), pp. 1-8, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1
Shallow Vessel Segmentation Network for Automatic Retinal Vessel Segmentation
Tariq Khan, Faizan Abdullah, Syed Naqvi, Muhammad Arsalan, Muhamamd Khan
(2020), pp. 1-7, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1
A semantically flexible feature fusion network for retinal vessel segmentation
T Khan, A Robles-Kelly, S Naqvi
(2020), Vol. 1332, pp. 159-167, ICONIP 2020 : Proceedings of the 27th International Conference on Neural Information Processing 2020, Online from Bangkok, Thailand, E1
A derivative-free method for quantum perceptron training in multi-layered neural networks
T Khan, A Robles-Kelly
(2020), Vol. 1333, pp. 241-250, ICONIP 2020 : Proceedings of the 27th International Conference on Neural Information Processing, Bangkok, Thailand, E1
A Multi-Scale Directional Line Detector for Retinal Vessel Segmentation
Ahsan Khawaja, Tariq Khan, Mohammad Khan, Syed Nawaz
(2019), Vol. 19, pp. 1-22, Sensors, Basel, Switzerland, C1-1
A Khawaja, T Khan, K Naveed, S Naqvi, N Rehman, S Junaid Nawaz
(2019), Vol. 7, pp. 164344-164361, IEEE Access, Piscataway, N.J., C1-1
GGM classifier with multi-scale line detectors for retinal vessel segmentation
M Khan, T Khan, S Naqvi, M Aurangzeb Khan
(2019), Vol. 13, pp. 1667-1675, Signal, Image and Video Processing, Berlin, Germany, C1-1
Boosting sensitivity of a retinal vessel segmentation algorithm
M Khan, T Khan, T Soomro, N Mir, J Gao
(2019), Vol. 22, pp. 583-599, Pattern Analysis and Applications, Berlin, Germany, C1-1
Multi-parametric optic disc segmentation using superpixel based feature classification
Z Rehman, S Naqvi, T Khan, M Arsalan, M Khan, M Khalil
(2019), Vol. 120, pp. 461-473, Expert systems with applications, Amsterdam, The Netherlands, C1-1
Fully automated multi-parametric brain tumour segmentation using superpixel based classification
Z Rehman, S Naqvi, T Khan, M Khan, T Bashir
(2019), Vol. 118, pp. 598-613, Expert systems with applications, Amsterdam, The Netherlands, C1-1
I Afridi, T Bashir, H Khattak, T Khan, M Imran
(2019), Vol. 14, pp. 1-24, PLoS ONE, San Francisco, Calif., C1-1
A generalized multi-scale line-detection method to boost retinal vessel segmentation sensitivity
M Khan, T Khan, D Bailey, T Soomro
(2019), Vol. 22, pp. 1177-1196, Pattern Analysis and Applications, Berlin, Germany, C1-1
Efficient hardware implementation strategy for local normalization of fingerprint images
T Khan, D Bailey, M Khan, Y Kong
(2019), Vol. 16, pp. 1263-1275, Journal of Real-Time Image Processing, Berlin, Germany, C1-1
On the Application of Automated Machine Vision for Leather Defect Inspection and Grading: A Survey
M Aslam, T Khan, S Naqvi, G Holmes, R Naffa
(2019), Vol. 7, pp. 176065-176086, IEEE Access, Piscataway, N.J., C1-1
S Naqvi, N Fatima, T Khan, Z Rehman, M Khan
(2019), Vol. 13, pp. 1191-1198, Signal, Image and Video Processing, Berlin, Germany, C1-1
The Use of Fourier Phase Symmetry for Thin Vessel Detection in Retinal Fundus Images
M Khan, T Khan, K Aziz, S Ahmad, N Mir, E Elbakush
(2019), pp. 1-6, ISSPIT 2019 : Proceedings of the IEEE 19th International Symposium on Signal Processing and Information Technology, Ajman, United Arab Emirates, E1-1
Fast and accurate iris segmentation methods using LoG filters
R Abbas, T Khan, M Khan, H Khan
(2019), pp. 124-129, iCCECE 2019 : Proceedings of the 2019 International Conference on Computing, Electronics and Communications Engineering, London, England, E1-1
Orientation Field Estimation for Noisy Fingerprint Image Enhancement
W Alhalabi, M Khan, T Khan
(2019), Vol. 163, pp. 352-369, Artificial Intelligence and Machine Learning : Embedding the Intelligence. Proceedings of the 16th International Conference on Learning and Technology, 2019, Jeddah, Saudi Arabia, E1-1
Vessel Intensity Profile Uniformity Improvement for Retinal Vessel Segmentation
M Mehmood, T Khan, M Khan, S Naqvi, W Alhalabi
(2019), Vol. 163, pp. 370-380, Artificial Intelligence and Machine Learning : Embedding the Intelligence. Proceedings of the 16th International Conference on Learning and Technology, 2019, Jeddah, Saudi Arabia, E1-1
Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation
T Soomro, T Mahmood Khan, M Khan, J Gao, M Paul, L Zheng
(2018), Vol. 6, pp. 3524-3538, IEEE Access, Piscataway, N.J., C1-1
Coupling orientation diffusion with coherence-enhancing diffusion: a fingerprint case
M Khan, T Khan, D Bailey
(2018), Vol. 12, pp. 513-521, Signal, Image and Video Processing, Berlin, Germany, C1-1
Deriving scale normalisation factors for a GLoG detector
Mohammad Khan, Tariq Khan, Donald Bailey, Omar Kittaneh
(2018), Vol. 12, pp. 1673-1682, IET Image Processing, Stevenage, Eng., C1-1
Tariq Khan, Donald Bailey, Mohammad Khan, Yinan Kong
(2017), Vol. 26, pp. 2116-2126, IEEE Transactions on Image Processing, Piscataway, N.J., C1-1
M Khan, T Khan
(2017), Vol. 11, pp. 1453-1460, Signal, Image and Video Processing, Berlin, Germany, C1-1
A Nahid, T Khan, Y Kong
(2017), Vol. 4, pp. 533-546, Annals of data science, Cham, Switzerland, C1-1
T Soomro, J Gao, T Khan, A Hani, M Khan, M Paul
(2017), Vol. 20, pp. 927-961, Pattern analysis and applications, Cham, Switzerland, C1-1
Contrast normalization steps for increased sensitivity of a retinal image segmentation method
T Soomro, M Khan, J Gao, T Khan, M Paul
(2017), Vol. 11, pp. 1509-1517, Signal, image and video processing, Cham, Switzerland, C1-1
A spatial domain scar removal strategy for fingerprint image enhancement
M Khan, T Khan, D Bailey, Y Kong
(2016), Vol. 60, pp. 258-274, Pattern recognition, Amsterdam, The Netherlands, C1-1
Stopping criterion for anisotropic image diffusion
M Khan, T Khan, O Kittaneh, Y Kong
(2016), Vol. 127, pp. 156-160, Optik, Amsterdam, The Netherlands, C1-1
Stopping criterion for linear anisotropic image diffusion: a fingerprint image enhancement case
T Khan, M Mohammad, Y Kong, O Kittaneh
(2016), Vol. 2016, pp. 1-20, EURASIP journal on image and video processing, Cham, Switzerland, C1-1
Breast Image Classification Based on Concatenated Statistical, Structural and Textural Features
Abdullah-Al-Nahid, T Khan, Y Kong
(2016), pp. 27-32, EMS 2016 : Proceedings of the 10th European Modelling Symposium on Computer Modelling and Simulation, Pisa, Italy, E1-1
Abdullah-Al-Nahid, T Khan, Y Kong
(2016), pp. 64-69, EMS 2016 : Proceedings of the 10th European Modelling Symposium on Computer Modelling and Simulation, Pisa, Italy, E1-1
T Soomro, J Gao, M Khan, T Khan, M Paul
(2016), pp. 1-8, DICTA 2016 : Proceedings of the 2016 International Conference on Digital Image Computing : Techniques and Applications, Gold Coast, Qld., E1-1
Automatic Retinal Vessel Extraction Algorithm
T Soomro, M Khan, J Gao, T Khan, M Paul, N Mir
(2016), pp. 1-8, DICTA 2016 : Proceedings of the 2016 International Conference on Digital Image Computing : Techniques and Applications, Gold Coast, Qld., E1-1
Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes
M Khan, T Soomro, T Khan, D Bailey, J Gao, N Mir
(2016), pp. 1-5, IVCNZ 2016 : Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, Palmerston North, New Zealand, E1-1
Real-time edge detection and range finding using FPGAs
T Khan, D Bailey, M Khan, Y Kong
(2015), Vol. 126, pp. 1545-1550, Optik, Amsterdam, The Netherlands, C1-1
M Khan, W Mousa, T Khan
(2015), Vol. 126, pp. 888-897, Optik, Amsterdam, The Netherlands, C1-1
Hardware implementation of fast pupil segmentation using region properties
T Khan, Y Kong, M Khan
(2015), Vol. 9534, pp. 1-10, Proceedings of the 12th International Conference on Quality Control by Artificial Vision 2015, Le Creusot, France, E1-1
Intelligent reversible watermarking technique in medical images using GA and PSO
T Naheed, I Usman, T Khan, A Dar, M Shafique
(2014), Vol. 125, pp. 2515-2525, Optik, C1-1
Funded Projects at Deakin
No Funded Projects at Deakin found
Supervisions
No completed student supervisions to report