The optical character recognition of Urdu-like cursive scripts. - Saeeda Naz; Khizar Hayat 002; Muhammad Imran Razzak; Muhammad Waqas Anwar; Sajjad Ahmad Madani; Samee Ullah Khan (Pattern Recognit., 2014)

Accurate Microscopic Red Blood Cell Image Enhancement and Segmentation. - Syed Hamad Shirazi; Arif Iqbal Umar; Nuhman ul Haq; Saeeda Naz; Muhammad Imran Razzak (IWBBIO (1), 2015)

Zoning Features and 2DLSTM for Urdu Text-line Recognition. - Saeeda Naz; Saad Bin Ahmed; Riaz Ahmad 001; Muhammad Imran Razzak (KES, 2016)

Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey. - Saeeda Naz; Arif Iqbal Umar; Syed Hamad Shirazi; Saad Bin Ahmed; Muhammad Imran Razzak; Imran Siddiqi (Educ. Inf. Technol., 2016)

Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks. - Saeeda Naz; Arif Iqbal Umar; Riaz Ahmad 001; Saad Bin Ahmed; Syed Hamad Shirazi; Imran Siddiqi; Muhammad Imran Razzak (Neurocomputing, 2016)

Evaluation of cursive and non-cursive scripts using recurrent neural networks. - Saad Bin Ahmed; Saeeda Naz; Muhammad Imran Razzak; Shiekh Faisal Rashid; Muhammad Zeeshan Afzal; Thomas M. Breuel (Neural Comput. Appl., 2016)

Deep learning based isolated Arabic scene character recognition. - Saad Bin Ahmed; Saeeda Naz; Muhammad Imran Razzak; Rubiyah Yousaf (ASAR, 2017)

Automated techniques for brain tumor segmentation and detection: A review study. - Uma-E.-Hani; Saeeda Naz; Ibrahim A. Hameed (BESC, 2017)

Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning. - Muhammad Imran Razzak; Saeeda Naz (CVPR Workshops, 2017)

KHATT: A Deep Learning Benchmark on Arabic Script. - Riaz Ahmad 001; Saeeda Naz; Muhammad Zeshan Afzal; Sheikh Faisal Rashid; Marcus Liwicki; Andreas Dengel 001 (MOCR@ICDAR, 2017)

The Impact of Visual Similarities of Arabic-Like Scripts Regarding Learning in an OCR System. - Riaz Ahmad 001; Saeeda Naz; Muhammad Zeshan Afzal; Sheikh Faisal Rashid; Marcus Liwicki; Andreas Dengel 001 (MOCR@ICDAR, 2017)

Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier. - Saad Bin Ahmed; Saeeda Naz; Salahuddin Swati; Muhammad Imran Razzak (CoRR, 2017)

Deep Learning for Medical Image Processing: Overview, Challenges and Future. - Muhammad Imran Razzak; Saeeda Naz; Ahmad Zaib (CoRR, 2017)

UCOM offline dataset-an urdu handwritten dataset generation. - Saad Bin Ahmed; Saeeda Naz; Salahuddin Swati; Muhammad Imran Razzak; Arif Iqbal Umar (Int. Arab J. Inf. Technol., 2017)

Urdu Nastaliq recognition using convolutional-recursive deep learning. - Saeeda Naz; Arif Iqbal Umar; Riaz Ahmad 001; Imran Siddiqi; Saad Bin Ahmed; Muhammad Imran Razzak; Faisal Shafait (Neurocomputing, 2017)

Urdu Nasta'liq text recognition system based on multi-dimensional recurrent neural network and statistical features. - Saeeda Naz; Arif Iqbal Umar; Riaz Ahmad 001; Saad Bin Ahmed; Syed Hamad Shirazi; Muhammad Imran Razzak (Neural Comput. Appl., 2017)

Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. - Saad Bin Ahmed; Saeeda Naz; Muhammad Imran Razzak; Rubiyah Yusof (ICONIP (1), 2018)

Extreme learning machine based microscopic red blood cells classification. - Syed Hamad Shirazi; Arif Iqbal Umar; Nuhman ul Haq; Saeeda Naz; Muhammad Imran Razzak; Ahmad Zaib (Clust. Comput., 2018)

An Application of Deep Learning in Character Recognition: An Overview. - Sana Saeed; Saeeda Naz; Muhammad Imran Razzak (Handbook of Deep Learning Applications, 2019)

Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience. - Saad Bin Ahmed; Ibrahim A. Hameed; Saeeda Naz; Muhammad Imran Razzak; Rubiyah Yusof (IEEE Access, 2019)

A Novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42K and Its Evaluation Using Invariant Feature Extraction on Detected Extremal Regions. - Saad Bin Ahmed; Saeeda Naz; Muhammad Imran Razzak; Rubiyah Bte Yusof (IEEE Access, 2019)

Automatic Visual Features for Writer Identification: A Deep Learning Approach. - Arshia Rehman; Saeeda Naz; Muhammad Imran Razzak; Ibrahim A. Hameed (IEEE Access, 2019)

Nuclear Norm Minimization in Frequency Domain for Complex Noise. - Imran Razzak; Usman Naseem; Saeeda Naz; Ibrahim A. Hameed (Aust. J. Intell. Inf. Process. Syst., 2019)

Deep AutoEncoder-Decoder Framework for Semantic Segmentation of Brain Tumor. - Arshia Rehman; Saeeda Naz; Usman Naseem; Imran Razzak; Ibrahim A. Hameed (Aust. J. Intell. Inf. Process. Syst., 2019)

Writer identification using machine learning approaches: a comprehensive review. - Arshia Rehman; Saeeda Naz; Muhammad Imran Razzak (Multim. Tools Appl., 2019)

Handwritten Urdu character recognition using one-dimensional BLSTM classifier. - Saad Bin Ahmed; Saeeda Naz; Salahuddin Swati; Muhammad Imran Razzak (Neural Comput. Appl., 2019)

Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points. - Saad Bin Ahmed; Saeeda Naz; Imran Razzak; Mukesh Prasad (IJCNN, 2020)

Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders. - Imran Razzak; Iqra Kamran; Saeeda Naz (IJCNN, 2020)

Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network. - Imran Razzak; Ghosia Shoukat; Saeeda Naz; Tariq Mahmood Khan (IJCNN, 2020)

Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image. - Syeda Alleena Riaz; Saeeda Naz; Imran Razzak (IJCNN, 2020)

A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning. - Arshia Rehman; Saeeda Naz; Muhammad Imran Razzak; Faiza Akram; Muhammad Imran 001 (Circuits Syst. Signal Process., 2020)

Deep OCR for Arabic script-based language like Pastho. - Saeeda Naz; Naila Habib Khan; Shizza Zahoor; Muhammad Imran Razzak (Expert Syst. J. Knowl. Eng., 2020)

A deep learning based arabic script recognition system: benchmark on KHAT. - Riaz Ahmad 001; Saeeda Naz; Muhammad Zeshan Afzal; Sheikh Faisal Rashid; Marcus Liwicki (Int. Arab J. Inf. Technol., 2020)

Deep optical character recognition: a case of Pashto language. - Shizza Zahoor; Saeeda Naz; Naila Habib Khan; Muhammad Imran Razzak (J. Electronic Imaging, 2020)

Biometric signature authentication using machine learning techniques: Current trends, challenges and opportunities. - Kiran Bibi; Saeeda Naz; Arshia Rehman (Multim. Tools Appl., 2020)

Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease. - Iqra Kamran; Saeeda Naz; Imran Razzak; Muhammad Imran 001 (Future Gener. Comput. Syst., 2021)

Deep transfer learning for alzheimer neurological disorder detection. - Abida Ashraf; Saeeda Naz; Syed Hamad Shirazi; Imran Razzak; Mukesh Prasad (Multim. Tools Appl., 2021)

Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms. - Riaz Ahmad 001; Saeeda Naz; Imran Razzak (Pattern Recognit. Lett., 2021)

Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data. - Imran Razzak; Saeeda Naz; Abida Ashraf; Fahmi Khalifa; Mohamed Reda Bouadjenek; Shahid Mumtaz (Int. J. Intell. Syst., 2022)

Transfer learning using freeze features for Alzheimer neurological disorder detection using ADNI dataset. - Saeeda Naz; Abida Ashraf; Ahmad Zaib (Multim. Syst., 2022)

Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities. - Arshia Rehman; Saeeda Naz; Imran Razzak (Multim. Syst., 2022)

DeepSignature: fine-tuned transfer learning based signature verification system. - Saeeda Naz; Kiran Bibi; Riaz Ahmad 001 (Multim. Tools Appl., 2022)

Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification. - Imran Razzak; Saeeda Naz (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Multi-Model Fusion of CNNs for Identification of Parkinson's Disease Using Handwritten Samples. - Saeeda Naz; Iqra Kamran; Sarah Gul; Fazle Hadi; Fahmi Khalifa (IEEE Access, 2023)

A Recent Survey of the Advancements in Deep Learning Techniques for Monkeypox Disease Detection. - Saddam Hussain Khan; Rashid Iqbal; Saeeda Naz (CoRR, 2023)

A Deep Learning Approach for Diabetic Foot Ulcer Classification and Recognition. - Mehnoor Ahsan; Saeeda Naz; Riaz Ahmad 001; Haleema Ehsan; Aisha Sikandar (Inf., 2023)

Automated methods for diagnosis of Parkinson's disease and predicting severity level. - Zainab Ayaz; Saeeda Naz; Naila Habib Khan; Imran Razzak; Muhammad Imran 001 (Neural Comput. Appl., 2023)

Review on chest pathogies detection systems using deep learning techniques. - Arshia Rehman; Ahmad Khan 002; Gohar Fatima; Saeeda Naz; Imran Razzak (Artif. Intell. Rev., 2023)

Design of intelligent neuro-structures optimized with Levenberg-Marquardt and Bayesian distribution for dynamical analysis of Caputo-Fabrizio fractional electric circuit models. - Aneela Kausar; Chuan-Yu Chang; Sidra Naz; Muhammad Asif Zahoor Raja; Rooh Ullah Khan; Muhammad Safiullah; Saeeda Naz (Eng. Appl. Artif. Intell., 2025)

Machine learning and deep learning based psoriasis recognition system: evaluation, management, prognosis - where we are and the way to the future. - Nimra Shehzadi; Arshia Rehman; Saeeda Naz; Saba Rehman; Fahmi Khalifa (Artif. Intell. Rev., 2025)

Multi-resolution multi-path shallow deep network for Diabetic Foot Ulcers identification. - Mehnoor Ahsan; Saeeda Naz; Haleema Ehsan; Sarah Gul; Fazle Hadi; Abeer Abdelhamid; Fahmi Khalifa (Biomed. Signal Process. Control., 2026)