Exploiting peer group concept for adaptive and highly available services - Muhammad Asif Jan; Fahd Ali Zahid; Muhammad Moazam Fraz; Arshad Ali (CoRR, 2003)

A supervised method for retinal blood vessel segmentation using line strength, multiscale Gabor and morphological features. - M. M. Fraz 001; Paolo Remagnino; Andreas Hoppe; Sergio A. Velastin; Bunyarit Uyyanonvara; Sarah Barman (ICSIPA, 2011)

Retinal Vessel Extraction Using First-Order Derivative of Gaussian and Morphological Processing. - M. M. Fraz 001; Paolo Remagnino; Andreas Hoppe; Bunyarit Uyyanonvara; Christopher G. Owen; Alicja R. Rudnicka; Sarah Barman (ISVC (1), 2011)

Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing Various Vessel Profiles. - M. M. Fraz 001; Paolo Remagnino; Andreas Hoppe; Bunyarit Uyyanonvara; Alicja R. Rudnicka; Christopher G. Owen; Sarah Barman (ICIAR (2), 2012)

A Model Based Approach for Vessel Caliber Measurement in Retinal Images. - Muhammad Moazam Fraz; Paolo Remagnino; Andreas Hoppe; Sarah Barman; Alicja R. Rudnicka; Christopher G. Owen; Peter Whincup (SITIS, 2012)

An approach to localize the retinal blood vessels using bit planes and centerline detection. - M. M. Fraz 001; Sarah Barman; Paolo Remagnino; Andreas Hoppe; Abdul Basit 007; Bunyarit Uyyanonvara; Alicja R. Rudnicka; Christopher G. Owen (Comput. Methods Programs Biomed., 2012)

Blood vessel segmentation methodologies in retinal images - A survey. - Muhammad Moazam Fraz; Paolo Remagnino; Andreas Hoppe; Bunyarit Uyyanonvara; Alicja R. Rudnicka; Christopher G. Owen; Sarah A. Barman (Comput. Methods Programs Biomed., 2012)

An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation. - Muhammad Moazam Fraz; Paolo Remagnino; Andreas Hoppe; Bunyarit Uyyanonvara; Alicja R. Rudnicka; Christopher G. Owen; Sarah Barman (IEEE Trans. Biomed. Eng., 2012)

Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach. - M. M. Fraz 001; Paolo Remagnino; Andreas Hoppe; Alicja R. Rudnicka; Christopher G. Owen; Peter Whincup; Sarah Barman (Comput. Medical Imaging Graph., 2013)

Application of Morphological Bit Planes in Retinal Blood Vessel Extraction. - Muhammad Moazam Fraz; Abdul Basit 007; Sarah Barman (J. Digit. Imaging, 2013)

Retinal image segmentation and quantification of vessel width in non-standard retinal datasets. - Muhammad Moazam Fraz (2013)

Automated Arteriole and Venule Recognition in Retinal Images using Ensemble Classification. - M. M. Fraz 001; Alicja R. Rudnicka; Christopher G. Owen; David P. Strachan; Sarah A. Barman (VISAPP (3), 2014)

Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification. - Muhammad Moazam Fraz; Alicja R. Rudnicka; Christopher G. Owen; Sarah A. Barman (Int. J. Comput. Assist. Radiol. Surg., 2014)

Automated retinal vessel recognition and measurements on large datasets. - R. A. Welikala 001; Muhammad Moazam Fraz; Shabina Hayat; Alicja R. Rudnicka; Paul J. Foster; Peter Whincup; Christopher G. Owen; David P. Strachan; Sarah A. Barman (EMBC, 2015)

Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy. - R. A. Welikala 001; Muhammad Moazam Fraz; Jamshid Dehmeshki; Andreas Hoppe; Vikas Tah; Samantha Mann; Thomas H. Williamson; Sarah A. Barman (Comput. Medical Imaging Graph., 2015)

QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size - An automated system for quantification of retinal vessels morphology. - Muhammad Moazam Fraz; R. A. Welikala 001; Alicja R. Rudnicka; Christopher G. Owen; David P. Strachan; Sarah A. Barman (Expert Syst. Appl., 2015)

Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies. - R. A. Welikala 001; M. M. Fraz 001; P. J. Foster; Peter Whincup; Alicja R. Rudnicka; Christopher G. Owen; David P. Strachan; Sarah A. Barman (Comput. Biol. Medicine, 2016)

Weighted hybrid features for person re-identification. - Saba Mumtaz; Naima Mubariz; Shahzad Saleem; M. M. Fraz 001 (IPTA, 2017)

Automated quantification of retinal vessel morphometry in the UK biobank cohort. - R. A. Welikala 001; M. M. Fraz 001; M. M. Habib; S. Daniel-Tong; Max Yates; P. J. Foster; Peter Whincup; Alicja R. Rudnicka; Christopher G. Owen; David P. Strachan; Sarah Ann Barman (IPTA, 2017)

Fast Optic Disc Segmentation in Retinal Images Using Polar Transform. - Muhammad Nauman Zahoor; Muhammad Moazam Fraz (MIUA, 2017)

Fast Optic Disc Segmentation in Retina Using Polar Transform. - Muhammad Nauman Zahoor; Muhammad Moazam Fraz (IEEE Access, 2017)

Multiscale segmentation of exudates in retinal images using contextual cues and ensemble classification. - Muhammad Moazam Fraz; Waqas Jahangir; Saqib Zahid; Mian Muhammad Hamayun; Sarah A. Barman (Biomed. Signal Process. Control., 2017)

Two Stream Deep CNN-RNN Attentive Pooling Architecture for Video-Based Person Re-identification. - Wajeeha Ansar; M. M. Fraz 001; Muhammad Shahzad 002; Imad Gohar; Sajid Javed; Soon Ki Jung (CIARP, 2018)

Arterioles and Venules Classification in Retinal Images Using Fully Convolutional Deep Neural Network. - Sufian AlBadawi; M. M. Fraz 001 (ICIAR, 2018)

End to End Person Re-Identification for Automated Visual Surveillance. - Saadia Batool; Muhammad Zeeshan Ali; Muhammad Shahzad 002; Muhammad Moazam Fraz (IPAS, 2018)

DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification. - Raja Muhammad Saad Bashir; Muhammad Shahzad 002; Muhammad Moazam Fraz (ISVC, 2018)

Detailed Sentence Generation Architecture for Image Semantics Description. - Imran Khurram; Muhammad Moazam Fraz; Muhammad Shahzad 002 (ISVC, 2018)

Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images. - M. M. Fraz 001; Muhammad Shaban; Simon Graham; Syed Ali Khurram; Nasir M. Rajpoot (COMPAY/OMIA@MICCAI, 2018)

Cellular Community Detection for Tissue Phenotyping in Histology Images. - Sajid Javed; Muhammad Moazam Fraz; David B. A. Epstein; David R. J. Snead; Nasir M. Rajpoot (COMPAY/OMIA@MICCAI, 2018)

Simultaneous Segmentation of Multiple Retinal Pathologies Using Fully Convolutional Deep Neural Network. - Maryam Badar; Muhammad Shahzad 002; M. M. Fraz 001 (MIUA, 2018)

Optimization of Person Re-Identification through Visual Descriptors. - Naima Mubariz; Saba Mumtaz; Mian Muhammad Hamayun; M. M. Fraz 001 (VISIGRAPP (4: VISAPP), 2018)

Person Re-Identification Using Hybrid Representation Reinforced by Metric Learning. - Nazia Perwaiz; Muhammad Moazam Fraz; Muhammad Shahzad 002 (IEEE Access, 2018)

A Correction to the Article "Fast Optic Disc Segmentation in Retina Using Polar Transform". - Muhammad Nauman Zahoor; Muhammad Moazam Fraz (IEEE Access, 2018)

DPRNet: Deep 3D Point Based Residual Network for Semantic Segmentation and Classification of 3D Point Clouds. - Saira Arshad; Muhammad Shahzad 002; Qaiser Riaz; Muhammad Moazam Fraz (IEEE Access, 2019)

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. - Muhammad Shaban; Ruqayya Awan; Muhammad Moazam Fraz; Ayesha Azam; David R. J. Snead; Nasir M. Rajpoot (CoRR, 2019)

A vehicular network-based intelligent transport system for smart cities. - Tayyaba Zaheer; Asad Waqar Malik; Anis Ur Rahman 001; Ayesha Zahir; Muhammad Moazam Fraz (Int. J. Distributed Sens. Networks, 2019)

VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture. - Raja Muhammad Saad Bashir; Muhammad Shahzad 002; M. M. Fraz 001 (Pattern Recognit., 2019)

Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images. - Raja Muhammad Saad Bashir; Hanya Mahmood; Muhammad Shaban; Shan-E-Ahmed Raza; Muhammad Moazam Fraz; Syed Ali Khurram; Nasir M. Rajpoot (Digital Pathology, 2020)

On the frontiers of pose invariant face recognition: a review. - Sheikh Bilal Ahmed; Syed Farooq Ali; Jameel Ahmad; Muhammad Adnan; Muhammad Moazam Fraz (Artif. Intell. Rev., 2020)

Cellular community detection for tissue phenotyping in colorectal cancer histology images. - Sajid Javed; Arif Mahmood; Muhammad Moazam Fraz; Navid Alemi Koohbanani; Ksenija Benes; Yee-Wah Tsang; Katherine Hewitt; David B. A. Epstein; David R. J. Snead; Nasir M. Rajpoot (Medical Image Anal., 2020)

FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer. - M. M. Fraz 001; Syed Ali Khurram; Simon Graham; Muhammad Shaban; Mariam Hassan; Asif Loya; Nasir M. Rajpoot (Neural Comput. Appl., 2020)

Multisized Object Detection Using Spaceborne Optical Imagery. - Muhammad Haroon; Muhammad Shahzad 002; Muhammad Moazam Fraz (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. - Muhammad Shaban; Ruqayya Awan; Muhammad Moazam Fraz; Ayesha Azam; Yee-Wah Tsang; David R. J. Snead; Nasir M. Rajpoot (IEEE Trans. Medical Imaging, 2020)

Enhanced Super-Resolution via Squeeze-and-Residual-Excitation in Aerial Imagery. - Bostan Khan; Muhammad Moazam Fraz; Adeel Mumtaz (FIT, 2021)

Optimizing features for malware-benign clustering using Windows portable executables. - Warda Aslam; M. M. Fraz 001; Syed Khurram Rizvi; Shahzad Saleem (ICAI, 2021)

Progressive Unsupervised Deep Transfer Learning for Forest Mapping in Satellite Image. - Nouman Ahmed; Sudipan Saha; Muhammad Shahzad 002; Muhammad Moazam Fraz; Xiao Xiang Zhu 001 (ICCVW, 2021)

Dense-CaptionNet: a Sentence Generation Architecture for Fine-grained Description of Image Semantics. - Imran Khurram; M. M. Fraz 001; Muhammad Shahzad 002; Nasir M. Rajpoot (Cogn. Comput., 2021)

Stochastic attentions and context learning for person re-identification. - Nazia Perwaiz; Muhammad Moazam Fraz; Muhammad Shahzad 002 (PeerJ Comput. Sci., 2021)

Improving Masked Face Recognition Using Dense Residual Unit Aided with Quadruplet Loss. - Muhammad Aasharib Nawshad; Muhammad Moazam Fraz (IVCNZ, 2022)

NuRISC: Nuclei Radial Instance Segmentation and Classification. - Esha Sadia Nasir; Muhammad Moazam Fraz (MICAD, 2022)

Schema Based Knowledge Graph for Clinical Knowledge Representation from Structured and Un-structured Oncology Data. - Farina Tariq; Saad Ahmad Khan; Muhammad Moazam Fraz (MICAD, 2022)

Multimodal Knowledge Reasoning for Enhanced Visual Question Answering. - Afzaal Hussain; Ifrah Maqsood; Muhammad Shahzad 002; Muhammad Moazam Fraz (SITIS, 2022)

Extraction of Rice Phenological Metrics Using Temporally Correlated Multispectral Drone Imagery. - Dawood Wasif; M. Q. Khan; Ramesha Murtaza; M. Z. Ahmad; Zuhair Zafar; Muhammad Shahzad 002; Karsten Berns; M. M. Fraz 001 (SITIS, 2022)

Orientation aware weapons detection in visual data: a benchmark dataset. - Nazeef Ul Haq; M. M. Fraz 001; Tufail Sajjad Shah Hashmi; Muhammad Shahzad 002 (Computing, 2022)

Nuclei & Glands Instance Segmentation in Histology Images: A Narrative Review. - Esha Sadia Nasir; Arshi Perviaz; Muhammad Moazam Fraz (CoRR, 2022)

HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images. - Saad Wazir; Muhammad Moazam Fraz (CoRR, 2022)

CEPHA29: Automatic Cephalometric Landmark Detection Challenge 2023. - Muhammad Anwaar Khalid; Kanwal Zulfiqar; Ulfat Bashir; Areeba Shaheen; Rida Iqbal; Zarnab Rizwan; Ghina Rizwan; Muhammad Moazam Fraz (CoRR, 2022)

A multiapproach generalized framework for automated solution suggestion of support tickets. - Syed S. Ali Zaidi; Muhammad Moazam Fraz; Muhammad Shahzad 002; Sharifullah Khan (Int. J. Intell. Syst., 2022)

Detection and Grading of Hypertensive Retinopathy Using Vessels Tortuosity and Arteriovenous Ratio. - Sufian AlBadawi; Muhammad Moazam Fraz; Muhammad Shehzad; Imran Mahmood; Sajid Javed; Emad Mosalam; Ajay Kamath Nileshwar (J. Digit. Imaging, 2022)

Attention-Based Explainability Approaches in Healthcare Natural Language Processing. - Haadia Amjad; Mohammad Shehroz Ashraf; Syed Zoraiz Ali Sherazi; Saad Khan 011; Muhammad Moazam Fraz; Tahir Hameed; Syed Ahmad Chan Bukhari (HEALTHINF, 2023)

CAS - Attention based ISO/IEC 15408-2 Compliant Continuous Audit System for Insider Threat Detection. - Syed Khurram Jah Rizvi; Khawaja Faisal Javed; Muhammad Moazam Fraz (ICAI, 2023)

Time Series-based Active Labeling Framework for Curating a Multispectral Sentinel 2 Imagery Dataset for Crop Type Mapping. - Vaneeza Mehmood; Ramesha Murtaza; Zuhair Zafar; Muhammad Shahzad 002; Karsten Berns; Muhammad Moazam Fraz (IGARSS, 2023)

Nuclei and glands instance segmentation in histology images: a narrative review. - Esha Sadia Nasir; Arshi Parvaiz; Muhammad Moazam Fraz (Artif. Intell. Rev., 2023)

Attention augmented distance regression and classification network for nuclei instance segmentation and type classification in histology images. - G. Murtaza Dogar; Muhammad Shahzad 002; Muhammad Moazam Fraz (Biomed. Signal Process. Control., 2023)

Robust malware clustering of windows portable executables using ensemble latent representation and distribution modeling. - Syed Khurram Jah Rizvi; Muhammad Moazam Fraz (Concurr. Comput. Pract. Exp., 2023)

'Aariz: A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification. - Muhammad Anwaar Khalid; Kanwal Zulfiqar; Ulfat Bashir; Areeba Shaheen; Rida Iqbal; Zarnab Rizwan; Ghina Rizwan; Muhammad Moazam Fraz (CoRR, 2023)

Vision Transformers in medical computer vision - A contemplative retrospection. - Arshi Parvaiz; Muhammad Anwaar Khalid; Rukhsana Zafar; Huma Ameer; Muhammad Zeeshan Ali; Muhammad Moazam Fraz (Eng. Appl. Artif. Intell., 2023)

Residual learning with annularly convolutional neural networks for classification and segmentation of 3D point clouds. - Rabbia Hassan; M. M. Fraz 001; A. Rajput; Muhammad Shahzad 002 (Neurocomputing, 2023)

Ubiquitous vision of transformers for person re-identification. - Nazia Perwaiz; Muhammad Shahzad 002; M. M. Fraz 001 (Mach. Vis. Appl., 2023)

DCARN: Deep Context Aware Recurrent Neural Network for Semantic Segmentation of Large Scale Unstructured 3D Point Cloud. - Saba Mehmood; Muhammad Shahzad 002; Muhammad Moazam Fraz (Neural Process. Lett., 2023)

Nuclei probability and centroid map network for nuclei instance segmentation in histology images. - Syed Nauyan Rashid; Muhammad Moazam Fraz (Neural Comput. Appl., 2023)

Per-former: rethinking person re-identification using transformer augmented with self-attention and contextual mapping. - N. Pervaiz; M. M. Fraz 001; Muhammad Shahzad 002 (Vis. Comput., 2023)

Person re-identification: A retrospective on domain specific open challenges and future trends. - Asmat Zahra; Nazia Perwaiz; Muhammad Shahzad 002; Muhammad Moazam Fraz (Pattern Recognit., 2023)

CGA-Net: channel-wise gated attention network for improved super-resolution in remote sensing imagery. - Bostan Khan; Adeel Mumtaz; Zuhair Zafar; Mohamed H. Sedky; Elhadj Benkhelifa; Muhammad Moazam Fraz (Mach. Vis. Appl., 2023)

Boosting facial recognition capability for faces wearing masks using attention augmented residual model with quadruplet loss. - Muhammad Aasharib Nawshad; Ahsan Saadat; Muhammad Moazam Fraz (Mach. Vis. Appl., 2023)

An Attention-Driven Hybrid Network for Survival Analysis of Tumorigenesis Patients Using Whole Slide Images. - Arshi Parvaiz; Muhammad Moazam Fraz (ACIIDS (Companion 1), 2024)

Cross-Platform Integration in Legacy Mobile Apps for Code Reuse and Reduced Development Efforts. - Hannan Arif; Hafiz Syed Muhammad Bilal; Fahad Ahmed Satti; Syed Imran Ali; Muhammad Moazam Fraz (FIT, 2024)

Merging UAV-Derived Metrics with Crop Physiology to Estimate Sunflower Yield. - Usama Athar; Muhammad Ali; Zuhair Zafar; Haris Khurshid; Karsten Berns; Muhammad Moazam Fraz (FIT, 2024)

Resolving Community Parking Issues: An IoT Enabled Statistical and Deep Learning Approach for Enhanced Urban Parking Management. - Tayyib Ul Hassan; Aamina Binte Khurram; Sarah Iqbal; Asad Waqar Malik; Muhammad Moazam Fraz (FIT, 2024)

Enhancing Cephalometric Landmark Detection with a Two-Stage Cascaded CNN on Multi-resolution Multi-modal Data. - Reeha Khan; Muhammad Anwaar Khalid; Kanwal Zulfiqar; Ulfat Bashir; Muhammad Moazam Fraz (MIUA (2), 2024)

Unlocking plant secrets: A systematic review of 3D imaging in plant phenotyping techniques. - Muhammad Salman Akhtar; Zuhair Zafar; Raheel Nawaz; Muhammad Moazam Fraz (Comput. Electron. Agric., 2024)

A two-stage regression framework for automated cephalometric landmark detection incorporating semantically fused anatomical features and multi-head refinement loss. - Muhammad Anwaar Khalid; Atif Khurshid; Kanwal Zulfiqar; Ulfat Bashir; Muhammad Moazam Fraz (Expert Syst. Appl., 2024)

Cloud security in the age of adaptive adversaries: A game theoretic approach to hypervisor-based intrusion detection. - Esha Sadia Nasir; Ahsan Saadat; Yasir Faheem; Zainab Abaid; Muhammad Moazam Fraz (J. Syst. Archit., 2024)

Beyond local patches: Preserving global-local interactions by enhancing self-attention via 3D point cloud tokenization. - M. Q. Khan; Muhammad Shahzad 002; Saqib Ali Khan; M. M. Fraz 001; Xiao Xiang Zhu 001 (Pattern Recognit., 2024)

Vision-Based 3-D Localization of UAV Using Deep Image Matching. - Mansoor Khurshid; Muhammad Shahzad 002; Hasan Ali Khattak; Muhammad Imran Malik; Muhammad Moazam Fraz (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Smart surveillance with simultaneous person detection and re-identification. - Nazia Perwaiz; M. M. Fraz 001; Muhammad Shahzad 002 (Multim. Tools Appl., 2024)

Breast lesions segmentation and classification in a two-stage process based on Mask-RCNN and Transfer Learning. - Hama Soltani; Mohamed Amroune; Issam Bendib; Mohamed Yassine Haouam; Elhadj Benkhelifa; Muhammad Moazam Fraz (Multim. Tools Appl., 2024)

PakVehicle-ReID: a multi-perspective benchmark for vehicle re-identification in unconstrained urban road environment. - Hasan Ali Asghar; Bostan Khan; Zuhair Zafar; Aznul Qalid Md Sabri; Muhammad Moazam Fraz (Multim. Tools Appl., 2024)

Intelligent Fisheries: Cognitive Solutions for Improving Aquaculture Commercial Efficiency Through Enhanced Biomass Estimation and Early Disease Detection. - Kanwal Aftab; Linda Tschirren; Boris Pasini; Peter Zeller 003; Bostan Khan; Muhammad Moazam Fraz (Cogn. Comput., 2024)

AFINITI: attention-aware feature integration for nuclei instance segmentation and type identification. - Esha Sadia Nasir; Shahzad Rasool; Raheel Nawaz; Muhammad Moazam Fraz (Neural Comput. Appl., 2024)

TransPose Re-ID: transformers for pose invariant person Re-identification. - Nazia Perwaiz; Muhammad Shahzad 002; Muhammad Moazam Fraz (J. Exp. Theor. Artif. Intell., 2025)

TVFace: towards large-scale unsupervised face recognition in video streams. - Atif Khurshid; Bostan Khan; Muhammad Shahzad 002; Muhammad Moazam Fraz (Pattern Anal. Appl., 2025)