HETS: Heterogeneous Edge and Task Scheduling Algorithm for Heterogeneous Computing Systems. - Anum Masood; Ehsan Ullah Munir; M. Mustafa Rafique; Samee Ullah Khan (HPCC/CSS/ICESS, 2015)

Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images. - Anum Masood; Bin Sheng 001; Ping Li 016; Xuhong Hou; Xiaoer Wei; Jing Qin 001; Dagan Feng 001 (J. Biomed. Informatics, 2018)

Automatic Computer Aided System for Lung Cancer in Chest CTs Using MD-RFCN Combined with Tri-Level Region Proposal Network. - Anum Masood; Bin Sheng 001; Ping Li 016; Po Yang 001; Jinman Kim (INDIN, 2019)

Network Reconfiguration Algorithm (NRA) for scheduling communication-intensive graphs in heterogeneous computing environment. - Anum Masood; Saima Gulzar Ahmad; Hikmat Ullah Khan; Ehsan Ullah Munir (Clust. Comput., 2020)

Automated Decision Support System for Lung Cancer Detection and Classification via Enhanced RFCN With Multilayer Fusion RPN. - Anum Masood; Bin Sheng 001; Po Yang 001; Ping Li 016; Huating Li; Jinman Kim; David Dagan Feng (IEEE Trans. Ind. Informatics, 2020)

Survey on Energy-Efficient Techniques for Wireless Sensor Networks. - Anum Masood (CoRR, 2021)

Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Liang Hu 004; Anum Masood; Mehwish Nasim (ClinicalNLP@ACL, 2023)

Multi-Level Swin Transformer Enabled Automatic Segmentation and Classification of Breast Metastases. - Anum Masood; Usman Naseem; Jinman Kim (EMBC, 2023)

Multi-Scale Swin Transformer Enabled Automatic Detection and Segmentation of Lung Metastases Using CT Images. - Anum Masood; Usman Naseem; Imran Razzak (ISBI, 2023)

Fully Automated CAD System for Lung Cancer Detection and Classification Using 3D Residual U-Net with multi-Region Proposal Network (mRPN) in CT Images. - Anum Masood; Usman Naseem; Mehwish Nasim (CaPTion@MICCAI, 2023)

Real-Time Investigation of Cross-Technology Interference in Heterogeneous IoT Networks. - Shahzad Hassan; Saddaf Rubab; Salman Saadat; Syed Qasim Ali Gardezi; Muhammad Attique Khan; Areej Alasiry; Mehrez Marzougui; Anum Masood (IEEE Access, 2023)

An Integrated Parallel Inner Deep Learning Models Information Fusion With Bayesian Optimization for Land Scene Classification in Satellite Images. - Ameer Hamza; Muhammad Attique Khan; Shams ur Rehman; Hussain Mobarak Albarakati; Roobaea Alroobaea; Abdullah M. Baqasah; Majed Alhaisoni; Anum Masood (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Deep learning-enabled automatic screening of SLE diseases and LR using OCT images. - Shiqun Lin; Anum Masood; Tingyao Li; Gengyou Huang; Rongping Dai (Vis. Comput., 2023)

Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review. - Mehmood Nawaz; Adilet Uvaliyev; Khadija Bibi; Hao Wei; Sai Mu Dalike Abaxi; Anum Masood; Peilun Shi; Ho-Pui Ho; Wu Yuan 001 (Comput. Medical Imaging Graph., 2023)

Automated Detection and Segmentation of Glioblastoma in MRI Using Multi-Level Diffusion Transformer U-Net. - Anum Masood; Usman Naseem; Junaid Rashid; Imran Razzak (ISBI, 2024)

Unraveling the Tangle of Disinformation: A Multimodal Approach for Fake News Identification on Social Media. - Junaid Rashid; Jungeun Kim; Anum Masood (WWW (Companion Volume), 2024)

Detection of Sarcasm in Urdu Tweets Using Deep Learning and Transformer Based Hybrid Approaches. - Muhammad Ehtisham Hassan; Masroor Hussain; Iffat Maab; Usman Habib; Muhammad Attique Khan; Anum Masood (IEEE Access, 2024)

A Robust Intelligent System for Text-Based Traffic Signs Detection and Recognition in Challenging Weather Conditions. - Sara Khalid; Jamal Hussain Shah; Muhammad Sharif 001; Fadl Dahan; Rabia Saleem; Anum Masood (IEEE Access, 2024)

Hybridizing Artificial Neural Networks Through Feature Selection Based Supervised Weight Initialization and Traditional Machine Learning Algorithms for Improved Colon Cancer Prediction. - Malik Sajjad Ahmed Nadeem; Muhammad Hammad Waseem; Wajid Aziz; Usman Habib; Anum Masood; Muhammad Attique Khan (IEEE Access, 2024)

Prediction of Alzheimer's disease stages based on ResNet-Self-attention architecture with Bayesian optimization and best features selection. - Nabeela Yaqoob; Muhammad Attique Khan; Saleha Masood; Hussain Mobarak Albarakati; Ameer Hamza; Fatimah Alhayan; Leila Jamel 001; Anum Masood (Frontiers Comput. Neurosci., 2024)

ALL classification using neural ensemble and memetic deep feature optimization. - Muhammad Awais; Riaz Ahmad; Nabeela Kausar; Ahmed Ibrahim Alzahrani 001; Nasser Alalwan; Anum Masood (Frontiers Artif. Intell., 2024)

Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization. - Irfan Haider; Muhammad Attique Khan; Muhammad Nazir; Ameer Hamza; Omar Saad Alqahtani; Monia Turki-Hadj Alouane; Anum Masood (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Novel Bottleneck Residual and Self-Attention Fusion-Assisted Architecture for Land Use Recognition in Remote Sensing Images. - Ameer Hamza; Muhammad Attique Khan; Shams ur Rehman; Mohammed Al-Khalidi; Ahmed Ibrahim Alzahrani 001; Nasser Alalwan; Anum Masood (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

An Integrated Framework of Two-Stream Deep Learning Models Optimal Information Fusion for Fruits Disease Recognition. - Unber Zahra; Muhammad Attique Khan; Majed Alhaisoni; Areej Alasiry; Mehrez Marzougui; Anum Masood (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Promoting Gender Balance in Computing Education: Development, Trends, and Challenges. - Anum Masood; Azka Umar (EDUCON, 2025)

Using Blockchain-Based Immersive Virtual Reality Systems for Computing Education. - Anum Masood; Azka Umar; Raja Usman Tariq (EDUCON, 2025)

Harnessing deep learning for faster water quality assessment: identifying bacterial contaminants in real time. - Fahad Ahmed KhoKhar; Jamal Hussain Shah; Rabia Saleem; Anum Masood (Vis. Comput., 2025)