Saeeda Naz

According to our database, Saeeda Naz authored at least 48 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Review on chest pathogies detection systems using deep learning techniques.

Arshia Rehman, Ahmad Khan, Gohar Fatima, Saeeda Naz, Imran Razzak

Artif. Intell. Rev., November, 2023

Automated methods for diagnosis of Parkinson's disease and predicting severity level.

Zainab Ayaz, Saeeda Naz, Naila Habib Khan, Imran Razzak, Muhammad Imran

Neural Comput. Appl., July, 2023

A Deep Learning Approach for Diabetic Foot Ulcer Classification and Recognition.

Mehnoor Ahsan, Saeeda Naz, Riaz Ahmad, Haleema Ehsan, Aisha Sikandar

Inf., January, 2023

A Recent Survey of the Advancements in Deep Learning Techniques for Monkeypox Disease Detection.

Saddam Hussain Khan, Rashid Iqbal, Saeeda Naz

CoRR, 2023

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

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

DeepSignature: fine-tuned transfer learning based signature verification system.

Saeeda Naz, Kiran Bibi, Riaz Ahmad

Multim. Tools Appl., 2022

Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities.

Arshia Rehman, Saeeda Naz, Imran Razzak

Multim. Syst., 2022

Transfer learning using freeze features for Alzheimer neurological disorder detection using ADNI dataset.

Saeeda Naz, Abida Ashraf, Ahmad Zaib

Multim. Syst., 2022

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

2021

Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms.

Riaz Ahmad, Saeeda Naz, Imran Razzak

Pattern Recognit. Lett., 2021

Deep transfer learning for alzheimer neurological disorder detection.

Abida Ashraf, Saeeda Naz, Syed Hamad Shirazi, Imran Razzak, Mukesh Prasad

Multim. Tools Appl., 2021

Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease.

Iqra Kamran, Saeeda Naz, Imran Razzak, Muhammad Imran

Future Gener. Comput. Syst., 2021

2020

Biometric signature authentication using machine learning techniques: Current trends, challenges and opportunities.

Kiran Bibi, Saeeda Naz, Arshia Rehman

Multim. Tools Appl., 2020

Deep optical character recognition: a case of Pashto language.

Shizza Zahoor, Saeeda Naz, Naila Habib Khan, Muhammad Imran Razzak

J. Electronic Imaging, 2020

A deep learning based arabic script recognition system: benchmark on KHAT.

Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki

Int. Arab J. Inf. Technol., 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 Framework for Automatic Brain Tumors Classification Using Transfer Learning.

Arshia Rehman, Saeeda Naz, Muhammad Imran Razzak, Faiza Akram, Muhammad Imran

Circuits Syst. Signal Process., 2020

Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image.

Syeda Alleena Riaz, Saeeda Naz, Imran Razzak

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network.

Imran Razzak, Ghosia Shoukat, Saeeda Naz, Tariq Mahmood Khan

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders.

Imran Razzak, Iqra Kamran, Saeeda Naz

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points.

Saad Bin Ahmed, Saeeda Naz, Imran Razzak, Mukesh Prasad

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Handwritten Urdu character recognition using one-dimensional BLSTM classifier.

Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak

Neural Comput. Appl., 2019

Writer identification using machine learning approaches: a comprehensive review.

Arshia Rehman, Saeeda Naz, Muhammad Imran Razzak

Multim. Tools Appl., 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

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

Automatic Visual Features for Writer Identification: A Deep Learning Approach.

Arshia Rehman, Saeeda Naz, Muhammad Imran Razzak, Ibrahim A. Hameed

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

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

An Application of Deep Learning in Character Recognition: An Overview.

Sana Saeed, Saeeda Naz, Muhammad Imran Razzak

Proceedings of the Handbook of Deep Learning Applications., 2019

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

Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids.

Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Urdu Nasta'liq text recognition system based on multi-dimensional recurrent neural network and statistical features.

Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Saad Bin Ahmed, Syed Hamad Shirazi, Muhammad Imran Razzak

Neural Comput. Appl., 2017

Urdu Nastaliq recognition using convolutional-recursive deep learning.

Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Imran Siddiqi, Saad Bin Ahmed, Muhammad Imran Razzak, Faisal Shafait

Neurocomputing, 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

Deep Learning for Medical Image Processing: Overview, Challenges and Future.

Muhammad Imran Razzak, Saeeda Naz, Ahmad Zaib

CoRR, 2017

Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier.

Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak

CoRR, 2017

The Impact of Visual Similarities of Arabic-Like Scripts Regarding Learning in an OCR System.

Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel

Proceedings of the 6th International Workshop on Multilingual OCR, 2017

KHATT: A Deep Learning Benchmark on Arabic Script.

Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel

Proceedings of the 6th International Workshop on Multilingual OCR, 2017

Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning.

Muhammad Imran Razzak, Saeeda Naz

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Automated techniques for brain tumor segmentation and detection: A review study.

Uma-E.-Hani, Saeeda Naz, Ibrahim A. Hameed

Proceedings of the 2017 International Conference on Behavioral, 2017

Deep learning based isolated Arabic scene character recognition.

Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yousaf

Proceedings of the 1st International Workshop on Arabic Script Analysis and Recognition, 2017

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

Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks.

Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Saad Bin Ahmed, Syed Hamad Shirazi, Imran Siddiqi, Muhammad Imran Razzak

Neurocomputing, 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

Zoning Features and 2DLSTM for Urdu Text-line Recognition.

Saeeda Naz, Saad Bin Ahmed, Riaz Ahmad, Muhammad Imran Razzak

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

2015

Accurate Microscopic Red Blood Cell Image Enhancement and Segmentation.

Syed Hamad Shirazi, Arif Iqbal Umar, Nuhman ul Haq, Saeeda Naz, Muhammad Imran Razzak

Proceedings of the Bioinformatics and Biomedical Engineering, 2015

2014

The optical character recognition of Urdu-like cursive scripts.

Saeeda Naz, Khizar Hayat, Muhammad Imran Razzak, Muhammad Waqas Anwar, Sajjad Ahmad Madani, Samee Ullah Khan

Pattern Recognit., 2014