Publications

 

List of Publications

Section 2016

1. Amin, Javeria, Muhammad Sharif, and Mussarat Yasmin. "A review on recent developments for detection of diabetic retinopathy." Scientifica 2016 (2016).

2. Amin, Javeria, Muhammad Sharif, and Mussarat Yasmin. "Segmentation and classification of lung cancer: A review." Immunology, Endocrine & Metabolic Agents in Medicinal Chemistry (Formerly Current Medicinal Chemistry-Immunology, Endocrine and Metabolic Agents) 16, no. 2 (2016): 82-99.

Section 2017

1. Amin, Javeria, Muhammad Sharif, Mussarat Yasmin, Hussam Ali, and Steven Lawrence Fernandes. "A method for the detection and classification of diabetic retinopathy using structural predictors of bright lesions." Journal of Computational Science 19 (2017): 153-164.

Section 2018

1. Amin, Javeria, Muhammad Sharif, Mussarat Yasmin, and Steven Lawrence Fernandes. "Big data analysis for brain tumor detection: Deep convolutional neural networks." Future Generation Computer Systems 87 (2018): 290-297.

2. Amin, Javeria, Muhammad Sharif, Mudassar Raza, and Mussarat Yasmin. "Detection of brain tumor based on features fusion and machine learning." Journal of Ambient Intelligence and Humanized Computing (2018): 1-17.

3. Muhammad, Nazeer, Muhammad Sharif, Javeria Amin, Riffat Mehboob, Syed Amir Gilani, Nargis Bibi, Hasnain Javed, and Naseer Ahmed. "Neurochemical Alterations in Sudden Unexplained Perinatal Deaths—A Review." Frontiers in pediatrics 6 (2018): 6.

4. Amin, Javeria, Muhammad Sharif, Amjad Rehman, Mudassar Raza, and Muhammad Rafiq Mufti. "Diabetic retinopathy detection and classification using hybrid feature set." Microscopy research and technique 81, no. 9 (2018): 990-996.

Section 2019

1. Amin, Javaria, Muhammad Sharif, Mudassar Raza, Tanzila Saba, and Muhammad Almas Anjum. "Brain tumor detection using statistical and machine learning method." Computer methods and programs in biomedicine 177 (2019): 69-79.

2. Amin, Javeria, Muhammad Sharif, Mussarat Yasmin, Tanzila Saba, Muhammad Almas Anjum, and Steven Lawrence Fernandes. "A new approach for brain tumor segmentation and classification based on score level fusion using transfer learning." Journal of medical systems 43, no. 11 (2019): 1-16.

3. Amin, Javeria, Muhammad Sharif, Mudassar Raza, Tanzila Saba, and Amjad Rehman. "Brain tumor classification: feature fusion." In 2019 international conference on computer and information sciences (ICCIS), pp. 1-6. IEEE, 2019.

Section 2020

1. Amin, Javeria, Muhammad Sharif, Mussarat Yasmin, and Steven Lawrence Fernandes. "A distinctive approach in brain tumor detection and classification using MRI." Pattern Recognition Letters 139 (2020): 118-127.

2. Saba, Tanzila, Ahmed Sameh Mohamed, Mohammad El-Affendi, Javeria Amin, and Muhammad Sharif. "Brain tumor detection using fusion of hand crafted and deep learning features." Cognitive Systems Research 59 (2020): 221-230.

3. Amin, Javaria, Muhammad Sharif, Nadia Gul, Mussarat Yasmin, and Shafqat Ali Shad. "Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network." Pattern Recognition Letters 129 (2020): 115-122.

4. Sharif, Muhammad, Javaria Amin, Mudassar Raza, Mussarat Yasmin, and Suresh Chandra Satapathy. "An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor." Pattern Recognition Letters 129 (2020): 150-157.

 5. Amin, Javaria, Muhammad Sharif, Mudassar Raza, Tanzila Saba, Rafiq Sial, and Shafqat Ali Shad. "Brain tumor detection: A long short-term memory (LSTM)-based learning model." Neural Computing and Applications 32, no. 20 (2020): 15965-15973.

 6. Amin, Javaria, Muhammad Sharif, Mudassar Raza, Tanzila Saba, Rafiq Sial, and Shafqat Ali Shad. "Brain tumor detection: A long short-term memory (LSTM)-based learning model." Neural Computing and Applications 32, no. 20 (2020): 15965-15973.

7. Amin, Javeria, Abida Sharif, Nadia Gul, Muhammad Almas Anjum, Muhammad Wasif Nisar, Faisal Azam, and Syed Ahmad Chan Bukhari. "Integrated design of deep features fusion for localization and classification of skin cancer." Pattern Recognition Letters 131 (2020): 63-70.

8. Amin, Javaria, Muhammad Sharif, Nadia Gul, Mudassar Raza, Muhammad Almas Anjum, Muhammad Wasif Nisar, and Syed Ahmad Chan Bukhari. "Brain tumor detection by using stacked autoencoders in deep learning." Journal of medical systems 44, no. 2 (2020): 1-12.

9. Sharif, Muhammad, Javaria Amin, Mudassar Raza, Muhammad Almas Anjum, Humaira Afzal, and Shafqat Ali Shad. "Brain tumor detection based on extreme learning." Neural Computing and Applications (2020): 1-13.

10. Amin, Javaria, Muhammad Sharif, Muhammad Almas Anjum, Mudassar Raza, and Syed Ahmad Chan Bukhari. "Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI." Cognitive Systems Research 59 (2020): 304-311.

11. Anjum, Muhammad Almas, Javaria Amin, Muhammad Sharif, Habib Ullah Khan, Muhammad Sheraz Arshad Malik, and Seifedine Kadry. "Deep semantic segmentation and multi-class skin lesion classification based on convolutional neural network." IEEE Access 8 (2020): 129668-129678.

12. Sharif, Muhammad, Javeria Amin, Mussarat Yasmin, and Amjad Rehman. "Efficient hybrid approach to segment and classify exudates for DR prediction." Multimedia Tools and Applications 79, no. 15 (2020): 11107-11123.

13. Amin, Javaria, Muhammad Sharif, Muhammad Almas Anjum, Habib Ullah Khan, Muhammad Sheraz Arshad Malik, and Seifedine Kadry. "An Integrated Design for Classification and Localization of Diabetic Foot Ulcer Based on CNN and YOLOv2-DFU Models." IEEE Access 8 (2020): 228586-228597.

Section 2021

1. Amin, Javaria, Muhammad Sharif, Muhammad Almas Anjum, Mussarat Yasmin, Khalid Iqbal Khattak, Seifedine Kadry, and Sanghyun Seo. "An Integrated Design Based on Dual Thresholding and Features Optimization for White Blood Cells Detection." IEEE Access 9 (2021): 151421-151433.

2. Amin, Javaria, Muhammad Sharif, Muhammad Almas Anjum, Ayesha Siddiqa, Seifedine Kadry, Yunyoung Nam, and Mudassar Raza. "3D semantic deep learning networks for leukemia detection." (2021).

3. Sharif, Muhammad Irfan, Jian Ping Li, Javeria Amin, and Abida Sharif. "An improved framework for brain tumor analysis using MRI based on YOLOv2 and convolutional neural network." Complex & Intelligent Systems (2021): 1-14.

4. Amin, Javaria, Muhammad Sharif, Eman Gul, and Ramesh Sunder Nayak. "3D-semantic segmentation and classification of stomach infections using uncertainty aware deep neural networks." Complex & Intelligent Systems (2021): 1-17.

5. Amin, Javaria, Muhammad Almas Anjum, Muhammad Sharif, Tanzila Saba, and Usman Tariq. "An intelligence design for detection and classification of COVID19 using fusion of classical and convolutional neural network and improved microscopic features selection approach." Microscopy Research and Technique (2021).

5. Amin, Javaria, Muhammad Almas Anjum, Muhammad Sharif, Seifedine Kadry, Yunyoung Nam, and ShuiHua Wang. "Convolutional Bi-LSTM Based Human Gait Recognition Using Video Sequences." CMC-COMPUTERS MATERIALS & CONTINUA 68, no. 2 (2021): 2693-2709.

7. Amin, Javaria, Muhammad Sharif, Muhammad Almas Anjum, Yunyoung Nam, Seifedine Kadry, and David Taniar. "Diagnosis of COVID-19 infection using three-dimensional semantic segmentation and classification of computed tomography images." Computers, Materials and Continua 68, no. 2 (2021): 2451-2467.

8. Amin, Javaria, Muhammad Almas Anjum, Muhammad Sharif, Seifedine Kadry, and Yunyoung Nam. "Fruits and vegetable diseases recognition using convolutional neural networks." (2021).

9. Amin, Javaria, Muhammad Sharif, Anandakumar Haldorai, Mussarat Yasmin, and Ramesh Sundar Nayak. "Brain tumor detection and classification using machine learning: a comprehensive survey." Complex & Intelligent Systems (2021): 1-23." (2021).

Section 2022

1. Amin, Javaria, Muhammad Almas Anjum, Abida Sharif, Mudassar Raza, Seifedine Kadry, and Yunyoung Nam. "Malaria Parasite Detection Using a Quantum-Convolutional Network." CMC-COMPUTERS MATERIALS & CONTINUA 70, no. 3 (2022): 6023-6039.

Section 2023

1. Amin, Javaria, Muhammad Almas Anjum, Nadia Gul, Muhammad Sharif, and Seifedine Kadry. "Clinically Acquired New Challenging Dataset for Brain SOL Segmentation: AJBDS-2023" Data in Brief (2023):109915.

2. Amin, Javaria, Muhammad Almas Anjum, Nadia Gul, Muhammad Imran Sharif, Muhammad Irfan Sharif, and Seifedine Kadry. "Localization model and rank-based features selection approach for the classification of GGO and consolidation stages of COVID-19" Expert Systems with Applications 239 (2024): 122317.

3. Amin, Javaria, Muhammad Almas Anjum, Nadia Gul, and Muhammad Sharif."Detection of brain space-occupying lesions using quantum machine learning." Neural Computing and Applications (2023): 1-17.

4. Amin, Javaria, Muhammad Almas Anjum, Kainat Ibrar, Muhammad Sharif, Seifedine Kadry, and Ruben González Crespo."Detection of anomaly in surveillance videos using quantum convolutional neural networks." Image and Vision Computing 135 (2023): 104710.

5. Shaukat, Natasha, Javeria Amin, Muhammad Imran Sharif, Muhammad Irfan Sharif, Seifedine Kadry, and Lukas Sevcik."Classification and Segmentation of Diabetic Retinopathy: A Systemic Review." Applied Sciences 13, no. 5 (2023): 3108.

6. Zafar, Mehwish, Javeria Amin, Muhammad Sharif, Muhammad Almas Anjum, Ghulam Ali Mallah, and Seifedine Kadry."DeepLabv3+-based segmentation and best features selection using slime mould algorithm for multi-class skin lesion classification." Mathematics 11, no. 2 (2023): 364

7. Amin, Javeria, Muhammad Almas Anjum, Rida Zahra, Muhammad Imran Sharif, Seifedine Kadry, and Lukas Sevcik."Pest Localization Using YOLOv5 and Classification Based on Quantum Convolutional Network." Agriculture 13, no. 3 (2023): 662.

8. Amin, Javaria, Muhammad Almas Anjum, Muhammad Sharif, Seifedine Kadry, and Ruben González Crespo."Visual Geometry Group based on U-Shaped Model for Liver/Liver Tumor Segmentation." IEEE Latin America Transactions 21, no. 4 (2023): 557-564.

9. Zafar, Mehwish, Javeria Amin, Muhammad Sharif, Muhammad Almas Anjum, Seifedine Kadry, and Jungeun Kim."CNN Based Features Extraction and Selection Using EPO Optimizer for Cotton Leaf Diseases Classification." Computers, Materials & Continua 76, no. 3 (2023).