Genetic programming for skin cancer detection in dermoscopic images. - Qurrat Ul Ain; Bing Xue 001; Harith Al-Sahaf; Mengjie Zhang 001 (CEC, 2017)

A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification. - Qurrat Ul Ain; Bing Xue 001; Harith Al-Sahaf; Mengjie Zhang 001 (PRICAI (1), 2018)

Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection. - Qurrat Ul Ain; Bing Xue 001; Harith Al-Sahaf; Mengjie Zhang 001 (CEC, 2019)

Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification. - Qurrat Ul Ain; Bing Xue 001; Harith Al-Sahaf; Mengjie Zhang 001 (IVCNZ, 2019)

ChemoVerse: Manifold Traversal of Latent Spaces for Novel Molecule Discovery. - Harshdeep Singh; Nicholas McCarthy; Qurrat Ul Ain; Jeremiah Hayes (ADGN@ECAI, 2020)

A genetic programming approach to feature construction for ensemble learning in skin cancer detection. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2020)

Genetic Programming based Feature Manipulation for Skin Cancer Image Classification. - Qurrat Ul Ain (2020)

Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Modeling a Fine-Tuned Deep Convolutional Neural Network for Diagnosis of Kidney Diseases from CT Images. - Sohaib Asif; Wenhui Yi; Jinhai Si; Qurrat Ul Ain; Yi Yueyang; Hou Jin (BIBM, 2022)

A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification. - Qurrat Ul Ain; Bing Xue 001; Harith Al-Sahaf; Mengjie Zhang 001 (ICDM (Workshops), 2022)

Improving Effectiveness of Different Deep Transfer Learning-Based Models for Detecting Brain Tumors From MR Images. - Sohaib Asif; Wenhui Yi; Qurrat Ul Ain; Jin Hou; Tao Yi; Jinhai Si (IEEE Access, 2022)

Genetic programming for automatic skin cancer image classification. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (Expert Syst. Appl., 2022)

Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming. - Qurrat Ul Ain; Bing Xue 001; Harith Al-Sahaf; Mengjie Zhang 001 (AusDM, 2023)

A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2023)

Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

IR-CNN: Inception residual network for detecting kidney abnormalities from CT images. - Sohaib Asif; Qurrat Ul Ain; Muhammad Awais; Saif Ur Rehman Khan 002 (Netw. Model. Anal. Health Informatics Bioinform., 2023)

Exploring Genetic Programming Models in Computer-Aided Diagnosis of Skin Cancer Images. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (CEC, 2024)

Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach. - Taran Cyriac John; Qurrat Ul Ain; Harith Al-Sahaf; Mengjie Zhang 001 (EvoApplications@EvoStar, 2024)

Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2024)

Towards Clinically Oriented Feature Detection for Melanoma: A Deep Learning Approach. - Taran Cyriac John; Qurrat Ul Ain; Harith Al-Sahaf; Mengjie Zhang 001 (IVCNZ, 2024)

Anomaly Detection for Aviation Cyber-Physical System: Opportunities and Challenges. - Qurrat Ul Ain; Atif Aftab Ahmed Jilani; Nigar Azhar Butt; Shafiq Ur Rehman; Hisham Abdulrahman Alhulayyil (IEEE Access, 2024)

A Fuzzy Minkowski Distance-based fusion of convolutional neural networks for gastrointestinal disease detection. - Sohaib Asif; Qurrat Ul Ain (Appl. Soft Comput., 2024)

A novel ensemble approach with deep transfer learning for accurate identification of foodborne bacteria from hyperspectral microscopy. - Qurrat Ul Ain; Sohaib Asif (Comput. Biol. Chem., 2024)

LitefusionNet: Boosting the performance for medical image classification with an intelligent and lightweight feature fusion network. - Sohaib Asif; Qurrat Ul Ain; Raeed Al-Sabri; Monir Abdullah (J. Comput. Sci., 2024)

Improving the accuracy of diagnosing and predicting coronary heart disease using ensemble method and feature selection techniques. - Sohaib Asif; Wenhui Yi; Qurrat Ul Ain; Yi Yueyang; Jinhai Si (Clust. Comput., 2024)

Automatically Evolving Interpretable Feature Vectors Using Genetic Programming for an Ensemble Classifier in Skin Cancer Detection. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (IEEE Comput. Intell. Mag., 2024)

Enhancing pulmonary abnormality detection with an optimized CNN architecture incorporating depth-wise separable convolution and inception module. - Sohaib Asif; Qurrat Ul Ain (Evol. Syst., 2024)

A deep ensemble learning framework for COVID-19 detection in chest X-ray images. - Sohaib Asif; Qurrat Ul Ain; Muhammad Awais; Kamran Amjad; Omair Bilal; Raeed Al-Sabri; Monir Abdullah (Netw. Model. Anal. Health Informatics Bioinform., 2024)

Genetic Programming with Co-operative Co-evolution for Feature Manipulation in Basal Cell Carcinoma Identification. - Taran Cyriac John; Qurrat Ul Ain; Harith Al-Sahaf; Mengjie Zhang 001 (EvoApplications (2), 2025)

SKINC-NET: an efficient Lightweight Deep Learning Model for Multiclass skin lesion classification in dermoscopic images. - Sohaib Asif; Qurrat Ul Ain; Saif Ur Rehman Khan 002; Kamran Amjad; Muhammad Awais (Multim. Tools Appl., 2025)