Ahsan Bin Tufail

Neuroscience · Life Sciences

11h-index581citations21works0.02yr avg
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Research Topics

Brain Tumor Detection and Classification(9), Dementia and Cognitive Impairment Research(6), AI in cancer detection(4), Wireless Signal Modulation Classification(4), Radar Systems and Signal Processing(3)

Publications20 total

Automated Classification of Brain Tumors from Magnetic Resonance Imaging Using Deep Learning
Brain Sciences·2023· 66 citedOpen Access
On Disharmony in Batch Normalization and Dropout Methods for Early Categorization of Alzheimer’s Disease
Sustainability·2022· 33 citedOpen Access
Early-Stage Alzheimer’s Disease Categorization Using PET Neuroimaging Modality and Convolutional Neural Networks in the 2D and 3D Domains
Sensors·2022· 62 citedOpen Access
On Improved 3D-CNN-Based Binary and Multiclass Classification of Alzheimer’s Disease Using Neuroimaging Modalities and Data Augmentation Methods
Journal of Healthcare Engineering·2022· 29 citedOpen Access
Recognition of Ziziphus lotus through Aerial Imaging and Deep Transfer Learning Approach
Mobile Information Systems·2021· 18 citedOpen Access
Classification of Initial Stages of Alzheimer’s Disease through Pet Neuroimaging Modality and Deep Learning: Quantifying the Impact of Image Filtering Approaches
Mathematics·2021· 22 citedOpen Access
3D convolutional neural networks-based multiclass classification of Alzheimer’s and Parkinson’s diseases using PET and SPECT neuroimaging modalities
Brain Informatics·2021· 55 citedOpen Access
Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions
Computational and Mathematical Methods in Medicine·2021· 134 citedOpen Access
3D convolutional neural networks based automatic modulation classification in the presence of channel noise
IET Communications·2021· 50 citedOpen Access
Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples
Wireless Communications and Mobile Computing·2021· 58 citedOpen Access
Classification of Digital Modulated COVID‐19 Images in the Presence of Channel Noise Using 2D Convolutional Neural Networks
Wireless Communications and Mobile Computing·2021· 6 citedOpen Access
Joint Multiclass Classification of the subjects of Alzheimer’s and Parkinson’s Diseases through Neuroimaging Modalities and Convolutional Neural Networks
2020· 1 cited
Binary Classification of Modulation Formats in the Presence of Noise through Convolutional Neural Networks
2020· 4 cited
Multiclass Classification of Modulation Formats in the presence of Rayleigh and Rician Channel Noise using Deep Learning Methods
2020· 1 cited
Multiclass classification of initial stages of Alzheimer's Disease through Neuroimaging modalities and Convolutional Neural Networks
2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC)·2020· 9 cited
Classification of subjects of Mild Cognitive Impairment and Alzheimer’s Disease through Neuroimaging modalities and Convolutional Neural Networks
2020· 2 cited
An Efficient Agent Scheming in Distributed Time Varying Networks
Lecture notes in networks and systems·2017· 1 cited
Reviewers
2013Open Access
Automatic Classification Of Initial Categories Of Alzheimer'S Disease From Structural Mri Phase Images: A Comparison Of Psvm, Knn And Ann Methods
Zenodo (CERN European Organization for Nuclear Research)·2012· 22 citedOpen Access
Multiclass classification of initial stages of Alzheimer's disease using structural MRI phase images
2012· 8 cited

Frequent Co-authors

Yongkui Ma(13), Rahim Khan(10), Inam Ullah(9), Ateeq Ur Rehman(5), Qiu-Na Zhang(4), Alam Noor(4), Rehan Ali Khan(3), Qiang Yang(3), Mohammed K. A. Kaabar(2), Muhammad Shafiq(2), Habib Hamam(2), Md. Sadek Ali(2), Lei Zhao(2), Muhammad Abbas Khan(2), Omar Cheikhrouhou(2), Ali Imam Abidi(2), Adil Masood Siddiqui(2), Muhammad Shahzad Younis(2), Francisco Martínez(1), A. R. Junejo(1)