Hair removal methods: A comparative study for dermoscopy images. - Qaisar Abbas; M. Emre Celebi 001; Irene Fondón García (Biomed. Signal Process. Control., 2011)

Unsupervised skin lesions border detection via two-dimensional image analysis. - Qaisar Abbas; Irene Fondón; Muhammad Rashid (Comput. Methods Programs Biomed., 2011)

A stable and conservative method for locally adapting the design order of finite difference schemes. - Sofia Eriksson; Qaisar Abbas; Jan Nordström (J. Comput. Phys., 2011)

Optic Disc segmentation based on level-set and colour gradients. - Aurora Sáez; Irene Fondón; Begoña Acha; Soledad Jiménez; Pedro Alemany; Qaisar Abbas; Carmen Serrano (CGIV, 2012)

Automatic Detection of Optic Disc from Retinal Fundus Images Using Dynamic Programming. - Qaisar Abbas; Irene Fondón; Soledad Jiménez; Pedro Alemany (ICIAR (2), 2012)

Automatic Cup-to-Disc Ratio Estimation Using Active Contours and Color Clustering in Fundus Images for Glaucoma Diagnosis. - Irene Fondón; Francisco Núñez; Mercedes Tirado; Soledad Jiménez; Pedro Alemany; Qaisar Abbas; Carmen Serrano; Begoña Acha (ICIAR (2), 2012)

Breast mass segmentation using region-based and edge-based methods in a 4-stage multiscale system. - Qaisar Abbas; M. Emre Celebi 001; Irene Fondón García (Biomed. Signal Process. Control., 2013)

Pattern classification of dermoscopy images: A perceptually uniform model. - Qaisar Abbas; M. Emre Celebi 001; Carmen Serrano; Irene Fondón García; Guangzhi Ma (Pattern Recognit., 2013)

An Improved Segmentation Method for Non-melanoma Skin Lesions Using Active Contour Model. - Qaisar Abbas; Irene Fondón; Auxiliadora Sarmiento; M. Emre Celebi 001 (ICIAR (2), 2014)

Automatic optic cup segmentation algorithm for retinal fundus images based on random forest classifier. - Irene Fondón; Jose Francisco Valverde; Auxiliadora Sarmiento; Qaisar Abbas; Soledad Jiménez; Pedro Alemany (EUROCON, 2015)

A computerized system for detection of spiculated margins based on mammography. - Qaisar Abbas; Irene Fondón; M. Emre Celebi 001 (Int. Arab J. Inf. Technol., 2015)

DeepCAD: A Computer-Aided Diagnosis System for Mammographic Masses Using Deep Invariant Features. - Qaisar Abbas (Comput., 2016)

Prediction of Dermoscopy Patterns for Recognition of both Melanocytic and Non-Melanocytic Skin Lesions. - Qaisar Abbas; Misbah Sadaf; Anum Akram (Comput., 2016)

Segmentation of differential structures on computed tomography images for diagnosis lung-related diseases. - Qaisar Abbas (Biomed. Signal Process. Control., 2017)

An improved statistical model of appearance under partial occlusion. - Qaisar Abbas; Tanzila Saba (Int. Arab J. Inf. Technol., 2017)

Automatic recognition of severity level for diagnosis of diabetic retinopathy using deep visual features. - Qaisar Abbas; Irene Fondón; Auxiliadora Sarmiento; Soledad Jiménez; Pedro Alemany (Medical Biol. Eng. Comput., 2017)

An improved Urdu stemming algorithm for text mining based on multi-step hybrid approach. - Abdul Jabbar; Sajid Iqbal 001; Adnan Akhunzada; Qaisar Abbas (J. Exp. Theor. Artif. Intell., 2018)

Video scene analysis: an overview and challenges on deep learning algorithms. - Qaisar Abbas; Mostafa E. A. Ibrahim; M. Arfan Jaffar (Multim. Tools Appl., 2018)

A comprehensive review of recent advances on deep vision systems. - Qaisar Abbas; Mostafa E. A. Ibrahim; M. Arfan Jaffar (Artif. Intell. Rev., 2019)

DermoDeep-A classification of melanoma-nevus skin lesions using multi-feature fusion of visual features and deep neural network. - Qaisar Abbas; M. Emre Celebi 001 (Multim. Tools Appl., 2019)

Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy. - Imran Qureshi; Jun Ma 001; Qaisar Abbas (Symmetry, 2019)

DenseHyper: an automatic recognition system for detection of hypertensive retinopathy using dense features transform and deep-residual learning. - Qaisar Abbas; Mostafa E. A. Ibrahim (Multim. Tools Appl., 2020)

A Methodological Review on Prediction of Multi-Stage Hypovigilance Detection Systems Using Multimodal Features. - Qaisar Abbas; Abdullah Alsheddy (IEEE Access, 2021)

Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning. - Imran Qureshi; Jun Ma 001; Qaisar Abbas (Multim. Tools Appl., 2021)

Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis. - Qaisar Abbas; Abdullah Alsheddy (Sensors, 2021)

An Automatic Detection and Classification System of Five Stages for Hypertensive Retinopathy Using Semantic and Instance Segmentation in DenseNet Architecture. - Qaisar Abbas; Imran Qureshi; Mostafa E. A. Ibrahim (Sensors, 2021)

Finger-vein presentation attack detection using depthwise separable convolution neural network. - Kashif Shaheed; Aihua Mao; Imran Qureshi; Qaisar Abbas; Munish Kumar 001; Xingming Zhang (Expert Syst. Appl., 2022)

Systematic Mapping of Monolithic Applications to Microservices Architecture. - Momil Seedat; Qaisar Abbas; Nadeem Ahmad (CoRR, 2023)

Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends. - Imran Qureshi; Junhua Yan; Qaisar Abbas; Kashif Shaheed; Awais Bin Riaz; Abdul Wahid; Muhammad Waseem Jan Khan; Piotr Szczuko (Inf. Fusion, 2023)

An intelligent medical image classification system using few-shot learning. - Qaisar Abbas (Concurr. Comput. Pract. Exp., 2023)

Leveraging Ethereum Platform for Development of Efficient Tractability System in Pharmaceutical Supply Chain. - Muntaha Aslam; Sohail Jabbar; Qaisar Abbas; Mubarak Albathan; Ayyaz Hussain; Umar Raza (Syst., 2023)

A Residual-Dense-Based Convolutional Neural Network Architecture for Recognition of Cardiac Health Based on ECG Signals. - Alaa E. S. Ahmed; Qaisar Abbas; Yassine Daadaa; Imran Qureshi; Ganeshkumar Perumal 001; Mostafa E. A. Ibrahim (Sensors, 2023)

VBQ-Net: A Novel Vectorization-Based Boost Quantized Network Model for Maximizing the Security Level of IoT System to Prevent Intrusions. - Ganeshkumar Perumal 001; Gopalakrishnan Subburayalu; Qaisar Abbas; Syed Muhammad Naqi; Imran Qureshi (Syst., 2023)

ROAST-IoT: A Novel Range-Optimized Attention Convolutional Scattered Technique for Intrusion Detection in IoT Networks. - Mahalingam Anandaraj; Ganeshkumar Perumal 001; Gopalakrishnan Subburayalu; Mubarak Albathan; Abdullah Altameem; Riyad Saleh Almakki; Ayyaz Hussain; Qaisar Abbas (Sensors, 2023)

DLTN-LOSP: A Novel Deep-Linear-Transition-Network-Based Resource Allocation Model with the Logic Overhead Security Protocol for Cloud Systems. - Divya Ramachandran; Syed Muhammad Naqi; Ganeshkumar Perumal 001; Qaisar Abbas (Sensors, 2023)

Enhancing Cloud-Based Security: A Novel Approach for Efficient Cyber-Threat Detection Using GSCSO-IHNN Model. - Divya Ramachandran; Mubarak Albathan; Ayyaz Hussain; Qaisar Abbas (Syst., 2023)

Development and Validation of a Cyber-Physical System Leveraging EFDPN for Enhanced WSN-IoT Network Security. - Sundaramoorthy Krishnasamy; Mutlaq B. Alotaibi; Lolwah I. Alehaideb; Qaisar Abbas (Sensors, 2023)

EfficientRMT-Net - An Efficient ResNet-50 and Vision Transformers Approach for Classifying Potato Plant Leaf Diseases. - Kashif Shaheed; Imran Qureshi; Fakhar Abbas; Sohail Jabbar; Qaisar Abbas; Hafsa Ahmad; Muhammad Zaheer Sajid (Sensors, 2023)

Deep learning techniques for biometric security: A systematic review of presentation attack detection systems. - Kashif Shaheed; Piotr Szczuko; Munish Kumar 001; Imran Qureshi; Qaisar Abbas; Ihsan Ullah 002 (Eng. Appl. Artif. Intell., 2024)

A Novel PPG-Based Biometric Authentication System Using a Hybrid CVT-ConvMixer Architecture with Dense and Self-Attention Layers. - Mostafa E. A. Ibrahim; Qaisar Abbas; Yassine Daadaa; Alaa E. S. Ahmed (Sensors, 2024)

EmotionNet-X: An Optimized CNN Architecture for Robust Facial Emotion Analysis. - Syed Muhammad Aqleem Abbas; Qaisar Abbas; Syed Muhammad Naqi (IEEE Access, 2025)

Role of Visual Saliency in Video Quality Assessments. - Syeda Eesha-Tir-Razia; Qaisar Abbas; Imran Fareed Nizami; Adil Ali Raja; Mutlaq B. Aldajani; Mudasir Wahab; Tallha Akram; Sadiq Ahmad (IEEE Access, 2025)

A systematic literature review of machine learning approaches for class-wise recognition of Alzheimer's disease using neuroimaging-based brain disorder analysis. - Sarah Almatrafi; Qaisar Abbas; Mostafa E. A. Ibrahim (Multim. Tools Appl., 2025)

mSleep: Multistage Human Sleep Behavior Prediction Using Enhanced MaxViT Convolution-Transformer. - Nourah Saad Misfer Alqahtani; Qaisar Abbas (J. Adv. Comput. Intell. Intell. Informatics, 2025)