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ORCIDSaeeda Naz
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2020 – today
- 2023
[j32]Saeeda Naz
, Iqra Kamran, Sarah Gul, Fazle Hadi, Fahmi Khalifa:
Multi-Model Fusion of CNNs for Identification of Parkinson's Disease Using Handwritten Samples. IEEE Access 11: 135600-135608 (2023)- [j31]Arshia Rehman, Ahmad Khan, Gohar Fatima, Saeeda Naz, Imran Razzak:
Review on chest pathogies detection systems using deep learning techniques. Artif. Intell. Rev. 56(11): 12607-12653 (2023) - [j30]Mehnoor Ahsan, Saeeda Naz, Riaz Ahmad, Haleema Ehsan, Aisha Sikandar:
A Deep Learning Approach for Diabetic Foot Ulcer Classification and Recognition. Inf. 14(1): 36 (2023) - [j29]Zainab Ayaz, Saeeda Naz, Naila Habib Khan, Imran Razzak, Muhammad Imran:
Automated methods for diagnosis of Parkinson's disease and predicting severity level. Neural Comput. Appl. 35(20): 14499-14534 (2023) - [i6]Saddam Hussain Khan, Rashid Iqbal, Saeeda Naz:
A Recent Survey of the Advancements in Deep Learning Techniques for Monkeypox Disease Detection. CoRR abs/2311.10754 (2023) - 2022
- [j28]Imran Razzak, Saeeda Naz, Abida Ashraf, Fahmi Khalifa, Mohamed Reda Bouadjenek, Shahid Mumtaz:
Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data. Int. J. Intell. Syst. 37(10): 6613-6630 (2022) - [j27]Saeeda Naz, Abida Ashraf, Ahmad Zaib:
Transfer learning using freeze features for Alzheimer neurological disorder detection using ADNI dataset. Multim. Syst. 28(1): 85-94 (2022) - [j26]Arshia Rehman, Saeeda Naz, Imran Razzak:
Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities. Multim. Syst. 28(4): 1339-1371 (2022) - [j25]Saeeda Naz, Kiran Bibi, Riaz Ahmad:
DeepSignature: fine-tuned transfer learning based signature verification system. Multim. Tools Appl. 81(26): 38113-38122 (2022) - [j24]Imran Razzak, Saeeda Naz:
Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1225-1234 (2022) - 2021
- [j23]Iqra Kamran, Saeeda Naz, Imran Razzak, Muhammad Imran:
Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease. Future Gener. Comput. Syst. 117: 234-244 (2021) - [j22]Abida Ashraf, Saeeda Naz, Syed Hamad Shirazi, Imran Razzak, Mukesh Prasad:
Deep transfer learning for alzheimer neurological disorder detection. Multim. Tools Appl. 80(20): 30117-30142 (2021) - [j21]Riaz Ahmad, Saeeda Naz, Imran Razzak:
Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms. Pattern Recognit. Lett. 152: 93-99 (2021) - 2020
- [j20]Arshia Rehman, Saeeda Naz, Muhammad Imran Razzak, Faiza Akram, Muhammad Imran:
A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning. Circuits Syst. Signal Process. 39(2): 757-775 (2020) - [j19]Saeeda Naz, Naila Habib Khan, Shizza Zahoor, Muhammad Imran Razzak:
Deep OCR for Arabic script-based language like Pastho. Expert Syst. J. Knowl. Eng. 37(5) (2020) - [j18]Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki:
A deep learning based arabic script recognition system: benchmark on KHAT. Int. Arab J. Inf. Technol. 17(3): 299-305 (2020) - [j17]Shizza Zahoor, Saeeda Naz, Naila Habib Khan, Muhammad Imran Razzak:
Deep optical character recognition: a case of Pashto language. J. Electronic Imaging 29(2): 023002 (2020) - [j16]Kiran Bibi, Saeeda Naz, Arshia Rehman:
Biometric signature authentication using machine learning techniques: Current trends, challenges and opportunities. Multim. Tools Appl. 79(1-2): 289-340 (2020) - [c12]Saad Bin Ahmed, Saeeda Naz, Imran Razzak, Mukesh Prasad:
Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points. IJCNN 2020: 1-6 - [c11]Imran Razzak, Iqra Kamran, Saeeda Naz:
Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders. IJCNN 2020: 1-6 - [c10]Imran Razzak, Ghosia Shoukat, Saeeda Naz, Tariq Mahmood Khan:
Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network. IJCNN 2020: 1-8 - [c9]Syeda Alleena Riaz, Saeeda Naz, Imran Razzak:
Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image. IJCNN 2020: 1-7 - [i5]Arshia Rehman, Saeeda Naz, Imran Razzak:
Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities. CoRR abs/2004.09010 (2020)
2010 – 2019
- 2019
- [j15]Arshia Rehman, Saeeda Naz, Muhammad Imran Razzak, Ibrahim A. Hameed:
Automatic Visual Features for Writer Identification: A Deep Learning Approach. IEEE Access 7: 17149-17157 (2019) - [j14]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Bte Yusof:
A Novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42K and Its Evaluation Using Invariant Feature Extraction on Detected Extremal Regions. IEEE Access 7: 19801-19820 (2019) - [j13]Saad Bin Ahmed, Ibrahim A. Hameed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof:
Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience. IEEE Access 7: 153566-153578 (2019) - [j12]Arshia Rehman, Saeeda Naz, Usman Naseem, Imran Razzak, Ibrahim A. Hameed:
Deep AutoEncoder-Decoder Framework for Semantic Segmentation of Brain Tumor. Aust. J. Intell. Inf. Process. Syst. 15(3): 53-60 (2019) - [j11]Imran Razzak, Usman Naseem, Saeeda Naz, Ibrahim A. Hameed:
Nuclear Norm Minimization in Frequency Domain for Complex Noise. Aust. J. Intell. Inf. Process. Syst. 16(2): 69-77 (2019) - [j10]Arshia Rehman, Saeeda Naz, Muhammad Imran Razzak:
Writer identification using machine learning approaches: a comprehensive review. Multim. Tools Appl. 78(8): 10889-10931 (2019) - [j9]Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak:
Handwritten Urdu character recognition using one-dimensional BLSTM classifier. Neural Comput. Appl. 31(4): 1143-1151 (2019) - [p1]Sana Saeed, Saeeda Naz, Muhammad Imran Razzak:
An Application of Deep Learning in Character Recognition: An Overview. Handbook of Deep Learning Applications 2019: 53-81 - 2018
- [j8]Syed Hamad Shirazi, Arif Iqbal Umar, Nuhman ul Haq, Saeeda Naz, Muhammad Imran Razzak, Ahmad Zaib:
Extreme learning machine based microscopic red blood cells classification. Clust. Comput. 21(1): 691-701 (2018) - [c8]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof:
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. ICONIP (1) 2018: 307-318 - [i4]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof:
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. CoRR abs/1809.10792 (2018) - 2017
- [j7]Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak, Arif Iqbal Umar:
UCOM offline dataset-an urdu handwritten dataset generation. Int. Arab J. Inf. Technol. 14(2): 239-245 (2017) - [j6]Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Imran Siddiqi, Saad Bin Ahmed, Muhammad Imran Razzak, Faisal Shafait:
Urdu Nastaliq recognition using convolutional-recursive deep learning. Neurocomputing 243: 80-87 (2017) - [j5]Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Saad Bin Ahmed, Syed Hamad Shirazi, Muhammad Imran Razzak:
Urdu Nasta'liq text recognition system based on multi-dimensional recurrent neural network and statistical features. Neural Comput. Appl. 28(2): 219-231 (2017) - [c7]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yousaf:
Deep learning based isolated Arabic scene character recognition. ASAR 2017: 46-51 - [c6]Uma-E.-Hani, Saeeda Naz, Ibrahim A. Hameed:
Automated techniques for brain tumor segmentation and detection: A review study. BESC 2017: 1-6 - [c5]Muhammad Imran Razzak, Saeeda Naz:
Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning. CVPR Workshops 2017: 801-807 - [c4]Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel:
KHATT: A Deep Learning Benchmark on Arabic Script. MOCR@ICDAR 2017: 10-14 - [c3]Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel:
The Impact of Visual Similarities of Arabic-Like Scripts Regarding Learning in an OCR System. MOCR@ICDAR 2017: 15-19 - [i3]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yousaf:
Deep Learning based Isolated Arabic Scene Character Recognition. CoRR abs/1704.06821 (2017) - [i2]Muhammad Imran Razzak, Saeeda Naz, Ahmad Zaib:
Deep Learning for Medical Image Processing: Overview, Challenges and Future. CoRR abs/1704.06825 (2017) - [i1]Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak:
Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier. CoRR abs/1705.05455 (2017) - 2016
- [j4]Saeeda Naz, Arif Iqbal Umar, Syed Hamad Shirazi, Saad Bin Ahmed, Muhammad Imran Razzak, Imran Siddiqi:
Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey. Educ. Inf. Technol. 21(5): 1225-1241 (2016) - [j3]Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Saad Bin Ahmed, Syed Hamad Shirazi, Imran Siddiqi, Muhammad Imran Razzak:
Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks. Neurocomputing 177: 228-241 (2016) - [j2]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Shiekh Faisal Rashid, Muhammad Zeeshan Afzal, Thomas M. Breuel:
Evaluation of cursive and non-cursive scripts using recurrent neural networks. Neural Comput. Appl. 27(3): 603-613 (2016) - [c2]Saeeda Naz, Saad Bin Ahmed, Riaz Ahmad, Muhammad Imran Razzak:
Zoning Features and 2DLSTM for Urdu Text-line Recognition. KES 2016: 16-22 - 2015
- [c1]Syed Hamad Shirazi, Arif Iqbal Umar, Nuhman ul Haq, Saeeda Naz, Muhammad Imran Razzak:
Accurate Microscopic Red Blood Cell Image Enhancement and Segmentation. IWBBIO (1) 2015: 183-192 - 2014
- [j1]Saeeda Naz, Khizar Hayat, Muhammad Imran Razzak, Muhammad Waqas Anwar, Sajjad Ahmad Madani, Samee Ullah Khan:
The optical character recognition of Urdu-like cursive scripts. Pattern Recognit. 47(3): 1229-1248 (2014)
Coauthor Index
aka: Imran Razzak
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