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Syed Ahmad Chan Bukhari
Syed Ahmad Chan Bukhari
Assoc. Prof. | Director of Research | St. John's University, New York
Verified email at stjohns.edu - Homepage
Title
Cited by
Cited by
Year
Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists
MA Khan, I Ashraf, M Alhaisoni, R Damaševičius, R Scherer, A Rehman, ...
Diagnostics 10 (8), 565, 2020
4512020
An Optimized Stacked Support Vector Machines Based Expert System for the Effective Prediction of Heart Failure
L ALI, A NIAMAT, JALI KHAN, NA GOLILARZ, X XINGZHONG, A NOOR, ...
IEEE Access 7, 54007 - 54014, 2019
3482019
A citrus fruits and leaves dataset for detection and classification of citrus diseases through machine learning
HT Rauf, BA Saleem, MIU Lali, MA Khan, M Sharif, SAC Bukhari
Data in brief 26, 104340, 2019
3202019
Classification of brain tumor from magnetic resonance imaging using vision transformers ensembling
S Tummala, S Kadry, SAC Bukhari, HT Rauf
Current Oncology 29 (10), 7498-7511, 2022
2502022
Brain tumor detection by using stacked autoencoders in deep learning
J Amin, M Sharif, N Gul, M Raza, MA Anjum, MW Nisar, SAC Bukhari
Journal of medical systems 44 (2), 32, 2020
2022020
An intelligent real-time multi-vessel collision risk assessment system from VTS view point based on fuzzy inference system
AC Bukhari, I Tusseyeva, YG Kim
Expert systems with applications 40 (4), 1220-1230, 2013
1992013
Visual features based automated identification of fish species using deep convolutional neural networks
HT Rauf, MIU Lali, S Zahoor, SZH Shah, AU Rehman, SAC Bukhari
Computers and electronics in agriculture 167, 105075, 2019
1962019
Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data
F Rubelt, CE Busse, SAC Bukhari, JP Bürckert, E Mariotti-Ferrandiz, ...
Nature immunology 18 (12), 1274, 2017
1902017
Developed Newton-Raphson based deep features selection framework for skin lesion recognition
MA Khan, M Sharif, T Akram, SAC Bukhari, RS Nayak
Pattern Recognition Letters 129, 293-303, 2020
1612020
Integrated design of deep features fusion for localization and classification of skin cancer
J Amin, A Sharif, N Gul, MA Anjum, MW Nisar, F Azam, SAC Bukhari
Pattern Recognition Letters 131, 63-70, 2020
1542020
The center for expanded data annotation and retrieval
MA Musen, CA Bean, KH Cheung, M Dumontier, KA Durante, O Gevaert, ...
Journal of the American Medical Informatics Association 22 (6), 1148-1152, 2015
1532015
LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine
L Ali, I Wajahat, N Amiri Golilarz, F Keshtkar, SAC Bukhari
Neural Computing and Applications 33 (7), 2783-2792, 2021
1512021
Lung nodules detection using semantic segmentation and classification with optimal features
T Meraj, HT Rauf, S Zahoor, A Hassan, MIU Lali, L Ali, SAC Bukhari, ...
Neural Computing and Applications 33 (17), 10737-10750, 2021
1302021
Detection and prediction of diabetes using data mining: a comprehensive review
FA Khan, K Zeb, M Al-Rakhami, A Derhab, SAC Bukhari
IEEE Access 9, 43711-43735, 2021
1292021
Reproducibility and Reuse of Adaptive Immune Receptor Repertoire Data
F Breden, ET Luning Prak, B Peters, F Rubelt, CA Schramm, C Busse, ...
Frontiers in Immunology 8, 1418, 2017
1122017
A hybrid mental health prediction model using Support Vector Machine, Multilayer Perceptron, and Random Forest algorithms
ES Mohamed, TA Naqishbandi, SAC Bukhari, I Rauf, V Sawrikar, ...
Healthcare Analytics 3, 100185, 2023
1082023
Skin lesion analysis and cancer detection based on machine/deep learning techniques: A comprehensive survey
M Zafar, MI Sharif, MI Sharif, S Kadry, SAC Bukhari, HT Rauf
Life 13 (1), 146, 2023
1042023
AIRR community standardized representations for annotated immune repertoires
JA Vander Heiden, S Marquez, N Marthandan, SAC Bukhari, CE Busse, ...
Frontiers in immunology 9, 2206, 2018
1042018
Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI
J Amin, M Sharif, MA Anjum, M Raza, SAC Bukhari
Cognitive Systems Research 59, 304-311, 2020
1012020
An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection
MA Khan, T Akram, M Sharif, K Javed, M Rashid, SAC Bukhari
Neural Computing and Applications, 1-20, 2019
892019
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Articles 1–20