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ORCIDJavaria Amin
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2020 – today
- 2024
[j22]Iqra Ahmad, Javaria Amin, Muhammad Ikram Ullah Lali, Farhat Abbas, Muhammad Imran Sharif:
A novel Deeplabv3+ and vision-based transformer model for segmentation and classification of skin lesions. Biomed. Signal Process. Control. 92: 106084 (2024)- [j21]Lareib Fatima Talib, Javaria Amin, Muhammad Sharif, Mudassar Raza:
Transformer-based semantic segmentation and CNN network for detection of histopathological lung cancer. Biomed. Signal Process. Control. 92: 106106 (2024) - [j20]Javaria Amin, Muhammad Almas Anjum, Nadia Gul, Muhammad Imran Sharif, Muhammad Imran Sharif, Seifedine Kadry
:
Localization model and rank-based features selection approach for the classification of GGO and consolidation stages of COVID-19. Expert Syst. Appl. 239: 122317 (2024) - [j19]Saba Hameed, Javaria Amin, Muhammad Almas Anjum, Muhammad Sharif:
Suspicious activities detection using spatial-temporal features based on vision transformer and recurrent neural network. J. Ambient Intell. Humaniz. Comput. 15(9): 3379-3391 (2024) - 2023
- [j18]Javaria Amin, Muhammad Almas Anjum, Kainat Ibrar, Muhammad Sharif, Seifedine Kadry, Rubén González Crespo:
Detection of anomaly in surveillance videos using quantum convolutional neural networks. Image Vis. Comput. 135: 104710 (2023) - [j17]Javaria Amin, Muhammad Almas Anjum, Nadia Gul, Muhammad Sharif:
Detection of brain space-occupying lesions using quantum machine learning. Neural Comput. Appl. 35(26): 19279-19295 (2023) - [c1]Javaria Amin, Imran Siddiqi, Momina Moetesum:
Reconstruction of Broken Writing Strokes in Greek Papyri. ICDAR Workshops (1) 2023: 253-266 - 2022
- [j16]Saba Saleem, Javaria Amin, Muhammad Sharif, Ghulam Ali Mallah, Seifedine Kadry, Amir H. Gandomi:
Leukemia segmentation and classification: A comprehensive survey. Comput. Biol. Medicine 150: 106028 (2022) - [j15]Javaria Amin, Muhammad Sharif, Nadia Gul, Seifedine Kadry, Chinmay Chakraborty:
Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network. Cogn. Comput. 14(5): 1677-1688 (2022) - [j14]Javaria Amin, Muhammad Almas Anjum, Muhammad Sheraz Arshad Malik:
Fused information of DeepLabv3+ and transfer learning model for semantic segmentation and rich features selection using equilibrium optimizer (EO) for classification of NPDR lesions. Knowl. Based Syst. 249: 108881 (2022) - [j13]Javaria Amin, Muhammad Almas Anjum, Nadia Gul, Muhammad Sharif:
A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain. Neural Comput. Appl. 34(20): 17315-17328 (2022) - 2021
- [j12]Javaria Amin, Muhammad Sharif, Muhammad Almas Anjum, Mussarat Yasmin, Khalid Iqbal Khattak, Seifedine Nimer Kadry, Sanghyun Seo:
An Integrated Design Based on Dual Thresholding and Features Optimization for White Blood Cells Detection. IEEE Access 9: 151421-151433 (2021) - 2020
- [j11]Muhammad Almas Anjum, Javaria Amin, Muhammad Sharif, Habib Ullah Khan, Muhammad Sheraz Arshad Malik, Seifedine Nimer Kadry:
Deep Semantic Segmentation and Multi-Class Skin Lesion Classification Based on Convolutional Neural Network. IEEE Access 8: 129668-129678 (2020) - [j10]Muhammad Sharif, Javaria Amin, Ayesha Siddiqa, Habib Ullah Khan, Muhammad Sheraz Arshad Malik, Muhammad Almas Anjum, Seifedine Nimer Kadry:
Recognition of Different Types of Leukocytes Using YOLOv2 and Optimized Bag-of-Features. IEEE Access 8: 167448-167459 (2020) - [j9]Javaria Amin, Muhammad Sharif, Muhammad Almas Anjum, Habib Ullah Khan, Muhammad Sheraz Arshad Malik, Seifedine Nimer Kadry:
An Integrated Design for Classification and Localization of Diabetic Foot Ulcer Based on CNN and YOLOv2-DFU Models. IEEE Access 8: 228586-228597 (2020) - [j8]Muhammad Sharif, Javaria Amin, Muhammad Wasif Nisar, Muhammad Almas Anjum, Muhammad Nazeer, Shafqat Ali Shad:
A unified patch based method for brain tumor detection using features fusion. Cogn. Syst. Res. 59: 273-286 (2020) - [j7]Javaria Amin, Muhammad Sharif, Muhammad Almas Anjum, Mudassar Raza, Syed Ahmad Chan Bukhari:
Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI. Cogn. Syst. Res. 59: 304-311 (2020) - [j6]Javaria Amin, Muhammad Sharif, Nadia Gul, Mudassar Raza, Muhammad Almas Anjum, Muhammad Wasif Nisar, Syed Ahmad Chan Bukhari:
Brain Tumor Detection by Using Stacked Autoencoders in Deep Learning. J. Medical Syst. 44(2): 32 (2020) - [j5]Javaria Amin, Muhammad Sharif, Mudassar Raza, Tanzila Saba, Rafiq Sial, Shafqat Ali Shad:
Brain tumor detection: a long short-term memory (LSTM)-based learning model. Neural Comput. Appl. 32(20): 15965-15973 (2020) - [j4]Muhammad Sharif, Javaria Amin, Mudassar Raza, Muhammad Almas Anjum, Humaira Afzal, Shafqat Ali Shad:
Brain tumor detection based on extreme learning. Neural Comput. Appl. 32(20): 15975-15987 (2020) - [j3]Javaria Amin, Muhammad Sharif, Nadia Gul, Mussarat Yasmin, Shafqat Ali Shad:
Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network. Pattern Recognit. Lett. 129: 115-122 (2020) - [j2]Muhammad Sharif, Javaria Amin, Mudassar Raza, Mussarat Yasmin, Suresh Chandra Satapathy:
An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor. Pattern Recognit. Lett. 129: 150-157 (2020)
2010 – 2019
- 2019
- [j1]Javaria Amin, Muhammad Sharif, Mudassar Raza, Tanzila Saba, Muhammad Almas Anjum:
Brain tumor detection using statistical and machine learning method. Comput. Methods Programs Biomed. 177: 69-79 (2019)
Coauthor Index
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