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ORCIDMuhammad Moazam Fraz
M. M. Fraz 0001
Person information
- affiliation: National University of Sciences and Technology, Islamabad, Pakistan
- affiliation (PhD 2013): Kingston University, Kingston upon Thames, UK
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2020 – today
- 2024
[j47]Muhammad Salman Akhtar, Zuhair Zafar, Raheel Nawaz
, Muhammad Moazam Fraz:
Unlocking plant secrets: A systematic review of 3D imaging in plant phenotyping techniques. Comput. Electron. Agric. 222: 109033 (2024)- [j46]Kanwal Aftab, Linda Tschirren, Boris Pasini, Peter Zeller, Bostan Khan, Muhammad Moazam Fraz:
Intelligent Fisheries: Cognitive Solutions for Improving Aquaculture Commercial Efficiency Through Enhanced Biomass Estimation and Early Disease Detection. Cogn. Comput. 16(5): 2241-2263 (2024) - [j45]Muhammad Anwaar Khalid, Atif Khurshid, Kanwal Zulfiqar, Ulfat Bashir, Muhammad Moazam Fraz:
A two-stage regression framework for automated cephalometric landmark detection incorporating semantically fused anatomical features and multi-head refinement loss. Expert Syst. Appl. 255: 124840 (2024) - [j44]Nazia Perwaiz, M. M. Fraz, Muhammad Shahzad:
Smart surveillance with simultaneous person detection and re-identification. Multim. Tools Appl. 83(5): 15461-15482 (2024) - [j43]Hama Soltani, Mohamed Amroune, Issam Bendib, Mohamed Yassine Haouam, Elhadj Benkhelifa, Muhammad Moazam Fraz:
Breast lesions segmentation and classification in a two-stage process based on Mask-RCNN and Transfer Learning. Multim. Tools Appl. 83(12): 35763-35780 (2024) - [j42]Hasan Ali Asghar, Bostan Khan, Zuhair Zafar, Aznul Qalid Md Sabri, Muhammad Moazam Fraz:
PakVehicle-ReID: a multi-perspective benchmark for vehicle re-identification in unconstrained urban road environment. Multim. Tools Appl. 83(17): 53009-53024 (2024) - [j41]Esha Sadia Nasir, Shahzad Rasool, Raheel Nawaz, Muhammad Moazam Fraz:
AFINITI: attention-aware feature integration for nuclei instance segmentation and type identification. Neural Comput. Appl. 36(29): 18343-18361 (2024) - [j40]M. Q. Khan, Muhammad Shahzad, Saqib Ali Khan, M. M. Fraz, Xiao Xiang Zhu:
Beyond local patches: Preserving global-local interactions by enhancing self-attention via 3D point cloud tokenization. Pattern Recognit. 155: 110712 (2024) - [j39]Mansoor Khurshid, Muhammad Shahzad, Hasan Ali Khattak, Muhammad Imran Malik, Muhammad Moazam Fraz:
Vision-Based 3-D Localization of UAV Using Deep Image Matching. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12020-12030 (2024) - [c27]Reeha Khan, Muhammad Anwaar Khalid, Kanwal Zulfiqar, Ulfat Bashir, Muhammad Moazam Fraz:
Enhancing Cephalometric Landmark Detection with a Two-Stage Cascaded CNN on Multi-resolution Multi-modal Data. MIUA (2) 2024: 3-18 - 2023
- [j38]Esha Sadia Nasir, Arshi Parvaiz, Muhammad Moazam Fraz:
Nuclei and glands instance segmentation in histology images: a narrative review. Artif. Intell. Rev. 56(8): 7909-7964 (2023) - [j37]G. Murtaza Dogar, Muhammad Shahzad, Muhammad Moazam Fraz:
Attention augmented distance regression and classification network for nuclei instance segmentation and type classification in histology images. Biomed. Signal Process. Control. 79(Part): 104199 (2023) - [j36]Syed Khurram Jah Rizvi, Muhammad Moazam Fraz:
Robust malware clustering of windows portable executables using ensemble latent representation and distribution modeling. Concurr. Comput. Pract. Exp. 35(8) (2023) - [j35]Arshi Parvaiz, Muhammad Anwaar Khalid, Rukhsana Zafar, Huma Ameer, Muhammad Zeeshan Ali, Muhammad Moazam Fraz:
Vision Transformers in medical computer vision - A contemplative retrospection. Eng. Appl. Artif. Intell. 122: 106126 (2023) - [j34]Rabbia Hassan, M. M. Fraz, A. Rajput, Muhammad Shahzad:
Residual learning with annularly convolutional neural networks for classification and segmentation of 3D point clouds. Neurocomputing 526: 96-108 (2023) - [j33]Nazia Perwaiz, Muhammad Shahzad, M. M. Fraz:
Ubiquitous vision of transformers for person re-identification. Mach. Vis. Appl. 34(2): 27 (2023) - [j32]Muhammad Aasharib Nawshad, Ahsan Saadat, Muhammad Moazam Fraz:
Boosting facial recognition capability for faces wearing masks using attention augmented residual model with quadruplet loss. Mach. Vis. Appl. 34(6): 108 (2023) - [j31]Bostan Khan, Adeel Mumtaz, Zuhair Zafar, Mohamed Sedkey, Elhadj Benkhelifa, Muhammad Moazam Fraz:
CGA-Net: channel-wise gated attention network for improved super-resolution in remote sensing imagery. Mach. Vis. Appl. 34(6): 128 (2023) - [j30]Syed Nauyan Rashid, Muhammad Moazam Fraz:
Nuclei probability and centroid map network for nuclei instance segmentation in histology images. Neural Comput. Appl. 35(21): 15447-15460 (2023) - [j29]Saba Mehmood, Muhammad Shahzad, Muhammad Moazam Fraz:
DCARN: Deep Context Aware Recurrent Neural Network for Semantic Segmentation of Large Scale Unstructured 3D Point Cloud. Neural Process. Lett. 55(2): 881-904 (2023) - [j28]Asmat Zahra, Nazia Perwaiz, Muhammad Shahzad, Muhammad Moazam Fraz:
Person re-identification: A retrospective on domain specific open challenges and future trends. Pattern Recognit. 142: 109669 (2023) - [j27]N. Pervaiz, M. M. Fraz, Muhammad Shahzad:
Per-former: rethinking person re-identification using transformer augmented with self-attention and contextual mapping. Vis. Comput. 39(9): 4087-4102 (2023) - [c26]Haadia Amjad, Mohammad Shehroz Ashraf, Syed Zoraiz Ali Sherazi, Saad Khan, Muhammad Moazam Fraz, Tahir Hameed, Syed Ahmad Chan Bukhari:
Attention-Based Explainability Approaches in Healthcare Natural Language Processing. HEALTHINF 2023: 689-696 - [c25]Vaneeza Mehmood, Ramesha Murtaza, Zuhair Zafar, Muhammad Shahzad, Karsten Berns, Muhammad Moazam Fraz:
Time Series-based Active Labeling Framework for Curating a Multispectral Sentinel 2 Imagery Dataset for Crop Type Mapping. IGARSS 2023: 3506-3509 - [i9]Muhammad Anwaar Khalid, Kanwal Zulfiqar, Ulfat Bashir, Areeba Shaheen, Rida Iqbal, Zarnab Rizwan, Ghina Rizwan, Muhammad Moazam Fraz:
'Aariz: A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification. CoRR abs/2302.07797 (2023) - 2022
- [j26]Nazeef Ul Haq, M. M. Fraz, Tufail Sajjad Shah Hashmi, Muhammad Shahzad:
Orientation aware weapons detection in visual data: a benchmark dataset. Computing 104(12): 2581-2604 (2022) - [j25]Syed S. Ali Zaidi, Muhammad Moazam Fraz, Muhammad Shahzad, Sharifullah Khan:
A multiapproach generalized framework for automated solution suggestion of support tickets. Int. J. Intell. Syst. 37(6): 3654-3681 (2022) - [j24]Sufian AlBadawi, Muhammad Moazam Fraz, Muhammad Shehzad, Imran Mahmood, Sajid Javed, Emad Mosalam, Ajay Kamath Nileshwar:
Detection and Grading of Hypertensive Retinopathy Using Vessels Tortuosity and Arteriovenous Ratio. J. Digit. Imaging 35(2): 281-301 (2022) - [c24]Muhammad Aasharib Nawshad, Muhammad Moazam Fraz:
Improving Masked Face Recognition Using Dense Residual Unit Aided with Quadruplet Loss. IVCNZ 2022: 345-360 - [c23]Dawood Wasif, M. Q. Khan, Ramesha Murtaza, M. Z. Ahmad, Zuhair Zafar, Muhammad Shahzad, Karsten Berns, M. M. Fraz:
Extraction of Rice Phenological Metrics Using Temporally Correlated Multispectral Drone Imagery. SITIS 2022: 163-169 - [c22]Afzaal Hussain, Ifrah Maqsood, Muhammad Shahzad, Muhammad Moazam Fraz:
Multimodal Knowledge Reasoning for Enhanced Visual Question Answering. SITIS 2022: 224-230 - [i8]Asmat Zahra, Nazia Perwaiz, Muhammad Shahzad, Muhammad Moazam Fraz:
Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends. CoRR abs/2202.13121 (2022) - [i7]Arshi Parvaiz, Muhammad Anwaar Khalid, Rukhsana Zafar, Huma Ameer, Muhammad Zeeshan Ali, Muhammad Moazam Fraz:
Vision Transformers in Medical Computer Vision - A Contemplative Retrospection. CoRR abs/2203.15269 (2022) - [i6]Esha Sadia Nasir, Arshi Perviaz, Muhammad Moazam Fraz:
Nuclei & Glands Instance Segmentation in Histology Images: A Narrative Review. CoRR abs/2208.12460 (2022) - [i5]Saad Wazir, Muhammad Moazam Fraz:
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images. CoRR abs/2209.00729 (2022) - [i4]Muhammad Anwaar Khalid, Kanwal Zulfiqar, Ulfat Bashir, Areeba Shaheen, Rida Iqbal, Zarnab Rizwan, Ghina Rizwan, Muhammad Moazam Fraz:
CEPHA29: Automatic Cephalometric Landmark Detection Challenge 2023. CoRR abs/2212.04808 (2022) - 2021
- [j23]Imran Khurram, M. M. Fraz, Muhammad Shahzad, Nasir M. Rajpoot:
Dense-CaptionNet: a Sentence Generation Architecture for Fine-grained Description of Image Semantics. Cogn. Comput. 13(3): 595-611 (2021) - [j22]Nazia Perwaiz, Muhammad Moazam Fraz, Muhammad Shahzad:
Stochastic attentions and context learning for person re-identification. PeerJ Comput. Sci. 7: e447 (2021) - [c21]Bostan Khan, Muhammad Moazam Fraz, Adeel Mumtaz:
Enhanced Super-Resolution via Squeeze-and-Residual-Excitation in Aerial Imagery. FIT 2021: 19-24 - [c20]Nouman Ahmed, Sudipan Saha, Muhammad Shahzad, Muhammad Moazam Fraz, Xiao Xiang Zhu:
Progressive Unsupervised Deep Transfer Learning for Forest Mapping in Satellite Image. ICCVW 2021: 752-761 - [i3]Nazeef Ul Haq, Muhammad Moazam Fraz, Tufail Sajjad Shah Hashmi, Muhammad Shahzad:
Orientation Aware Weapons Detection In Visual Data : A Benchmark Dataset. CoRR abs/2112.02221 (2021) - 2020
- [j21]Sheikh Bilal Ahmed, Syed Farooq Ali, Jameel Ahmad, Muhammad Adnan, Muhammad Moazam Fraz:
On the frontiers of pose invariant face recognition: a review. Artif. Intell. Rev. 53(4): 2571-2634 (2020) - [j20]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:
Cellular community detection for tissue phenotyping in colorectal cancer histology images. Medical Image Anal. 63: 101696 (2020) - [j19]M. M. Fraz, Syed Ali Khurram, Simon Graham, Muhammad Shaban, Mariam Hassan, Asif Loya, Nasir M. Rajpoot:
FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer. Neural Comput. Appl. 32(14): 9915-9928 (2020) - [j18]Muhammad Haroon, Muhammad Shahzad, Muhammad Moazam Fraz:
Multisized Object Detection Using Spaceborne Optical Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3032-3046 (2020) - [j17]Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot:
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. IEEE Trans. Medical Imaging 39(7): 2395-2405 (2020) - [c19]Raja Muhammad Saad Bashir, Hanya Mahmood, Muhammad Shaban, Shan-E-Ahmed Raza, Muhammad Moazam Fraz, Syed Ali Khurram, Nasir M. Rajpoot:
Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images. Medical Imaging: Digital Pathology 2020: 1132011
2010 – 2019
- 2019
- [j16]Saira Arshad, Muhammad Shahzad, Qaiser Riaz, Muhammad Moazam Fraz:
DPRNet: Deep 3D Point Based Residual Network for Semantic Segmentation and Classification of 3D Point Clouds. IEEE Access 7: 68892-68904 (2019) - [j15]Tayyaba Zaheer, Asad Waqar Malik, Anis Ur Rahman, Ayesha Zahir, Muhammad Moazam Fraz:
A vehicular network-based intelligent transport system for smart cities. Int. J. Distributed Sens. Networks 15(11) (2019) - [j14]Raja Muhammad Saad Bashir, Muhammad Shahzad, M. M. Fraz:
VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture. Pattern Recognit. 90: 52-65 (2019) - [i2]Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, David R. J. Snead, Nasir M. Rajpoot:
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. CoRR abs/1907.09478 (2019) - 2018
- [j13]Muhammad Nauman Zahoor, Muhammad Moazam Fraz:
A Correction to the Article "Fast Optic Disc Segmentation in Retina Using Polar Transform". IEEE Access 6: 4845-4849 (2018) - [j12]Nazia Perwaiz, Muhammad Moazam Fraz, Muhammad Shahzad:
Person Re-Identification Using Hybrid Representation Reinforced by Metric Learning. IEEE Access 6: 77334-77349 (2018) - [c18]Wajeeha Ansar, M. M. Fraz, Muhammad Shahzad, Imad Gohar, Sajid Javed, Soon Ki Jung:
Two Stream Deep CNN-RNN Attentive Pooling Architecture for Video-Based Person Re-identification. CIARP 2018: 654-661 - [c17]Sufian AlBadawi, M. M. Fraz:
Arterioles and Venules Classification in Retinal Images Using Fully Convolutional Deep Neural Network. ICIAR 2018: 659-668 - [c16]Saadia Batool, Muhammad Zeeshan Ali, Muhammad Shahzad, Muhammad Moazam Fraz:
End to End Person Re-Identification for Automated Visual Surveillance. IPAS 2018: 220-225 - [c15]Raja Muhammad Saad Bashir, Muhammad Shahzad, Muhammad Moazam Fraz:
DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification. ISVC 2018: 286-295 - [c14]Imran Khurram, Muhammad Moazam Fraz, Muhammad Shahzad:
Detailed Sentence Generation Architecture for Image Semantics Description. ISVC 2018: 423-432 - [c13]Sajid Javed, Muhammad Moazam Fraz, David B. A. Epstein, David R. J. Snead, Nasir M. Rajpoot:
Cellular Community Detection for Tissue Phenotyping in Histology Images. COMPAY/OMIA@MICCAI 2018: 120-129 - [c12]M. M. Fraz, Muhammad Shaban, Simon Graham, Syed Ali Khurram, Nasir M. Rajpoot:
Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images. COMPAY/OMIA@MICCAI 2018: 156-164 - [c11]Maryam Badar, Muhammad Shahzad, M. M. Fraz:
Simultaneous Segmentation of Multiple Retinal Pathologies Using Fully Convolutional Deep Neural Network. MIUA 2018: 313-324 - [c10]Naima Mubariz, Saba Mumtaz, Mian Muhammad Hamayun, M. M. Fraz:
Optimization of Person Re-Identification through Visual Descriptors. VISIGRAPP (4: VISAPP) 2018: 348-355 - 2017
- [j11]Muhammad Nauman Zahoor, Muhammad Moazam Fraz:
Fast Optic Disc Segmentation in Retina Using Polar Transform. IEEE Access 5: 12293-12300 (2017) - [j10]Muhammad Moazam Fraz, Waqas Jahangir, Saqib Zahid, Mian Muhammad Hamayun, Sarah A. Barman:
Multiscale segmentation of exudates in retinal images using contextual cues and ensemble classification. Biomed. Signal Process. Control. 35: 50-62 (2017) - [c9]Saba Mumtaz, Naima Mubariz, Shahzad Saleem, M. M. Fraz:
Weighted hybrid features for person re-identification. IPTA 2017: 1-6 - [c8]R. A. Welikala, M. M. Fraz, 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:
Automated quantification of retinal vessel morphometry in the UK biobank cohort. IPTA 2017: 1-6 - [c7]Muhammad Nauman Zahoor, Muhammad Moazam Fraz:
Fast Optic Disc Segmentation in Retinal Images Using Polar Transform. MIUA 2017: 38-49 - 2016
- [j9]R. A. Welikala, M. M. Fraz, P. J. Foster, Peter Whincup, Alicja R. Rudnicka, Christopher G. Owen, David P. Strachan, Sarah A. Barman:
Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies. Comput. Biol. Medicine 71: 67-76 (2016) - 2015
- [j8]R. A. Welikala, Muhammad Moazam Fraz, Jamshid Dehmeshki, Andreas Hoppe, Vikas Tah, Samantha Mann, Thomas H. Williamson, Sarah A. Barman:
Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy. Comput. Medical Imaging Graph. 43: 64-77 (2015) - [j7]Muhammad Moazam Fraz, R. A. Welikala, Alicja R. Rudnicka, Christopher G. Owen, David P. Strachan, Sarah A. Barman:
QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size - An automated system for quantification of retinal vessels morphology. Expert Syst. Appl. 42(20): 7221-7234 (2015) - [c6]R. A. Welikala, Muhammad Moazam Fraz, Shabina Hayat, Alicja R. Rudnicka, Paul J. Foster, Peter Whincup, Christopher G. Owen, David P. Strachan, Sarah A. Barman:
Automated retinal vessel recognition and measurements on large datasets. EMBC 2015: 5239-5242 - 2014
- [j6]Muhammad Moazam Fraz, Alicja R. Rudnicka, Christopher G. Owen, Sarah A. Barman:
Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification. Int. J. Comput. Assist. Radiol. Surg. 9(5): 795-811 (2014) - [c5]M. M. Fraz, Alicja R. Rudnicka, Christopher G. Owen, David P. Strachan, Sarah A. Barman:
Automated Arteriole and Venule Recognition in Retinal Images using Ensemble Classification. VISAPP (3) 2014: 194-202 - 2013
- [b1]Muhammad Moazam Fraz:
Retinal image segmentation and quantification of vessel width in non-standard retinal datasets. Kingston University, Kingston upon Thames, London, UK, 2013 - [j5]M. M. Fraz, Paolo Remagnino, Andreas Hoppe, Alicja R. Rudnicka, Christopher G. Owen, Peter Whincup, Sarah Barman:
Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach. Comput. Medical Imaging Graph. 37(1): 48-60 (2013) - [j4]Muhammad Moazam Fraz, Abdul Basit, Sarah Barman:
Application of Morphological Bit Planes in Retinal Blood Vessel Extraction. J. Digit. Imaging 26(2): 274-286 (2013) - 2012
- [j3]Muhammad Moazam Fraz, Paolo Remagnino, Andreas Hoppe, Bunyarit Uyyanonvara, Alicja R. Rudnicka, Christopher G. Owen, Sarah A. Barman:
Blood vessel segmentation methodologies in retinal images - A survey. Comput. Methods Programs Biomed. 108(1): 407-433 (2012) - [j2]M. M. Fraz, Sarah Barman, Paolo Remagnino, Andreas Hoppe, Abdul Basit, Bunyarit Uyyanonvara, Alicja R. Rudnicka, Christopher G. Owen:
An approach to localize the retinal blood vessels using bit planes and centerline detection. Comput. Methods Programs Biomed. 108(2): 600-616 (2012) - [j1]Muhammad Moazam Fraz, Paolo Remagnino, Andreas Hoppe, Bunyarit Uyyanonvara, Alicja R. Rudnicka, Christopher G. Owen, Sarah Barman:
An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation. IEEE Trans. Biomed. Eng. 59(9): 2538-2548 (2012) - [c4]M. M. Fraz, Paolo Remagnino, Andreas Hoppe, Bunyarit Uyyanonvara, Alicja R. Rudnicka, Christopher G. Owen, Sarah Barman:
Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing Various Vessel Profiles. ICIAR (2) 2012: 380-389 - [c3]Muhammad Moazam Fraz, Paolo Remagnino, Andreas Hoppe, Sarah Barman, Alicja R. Rudnicka, Christopher G. Owen, Peter Whincup:
A Model Based Approach for Vessel Caliber Measurement in Retinal Images. SITIS 2012: 129-136 - 2011
- [c2]M. M. Fraz, Paolo Remagnino, Andreas Hoppe, Sergio A. Velastin, Bunyarit Uyyanonvara, Sarah Barman:
A supervised method for retinal blood vessel segmentation using line strength, multiscale Gabor and morphological features. ICSIPA 2011: 410-415 - [c1]M. M. Fraz, Paolo Remagnino, Andreas Hoppe, Bunyarit Uyyanonvara, Christopher G. Owen, Alicja R. Rudnicka, Sarah Barman:
Retinal Vessel Extraction Using First-Order Derivative of Gaussian and Morphological Processing. ISVC (1) 2011: 410-420
2000 – 2009
- 2003
- [i1]Muhammad Asif Jan, Fahd Ali Zahid, Muhammad Moazam Fraz, Arshad Ali:
Exploiting peer group concept for adaptive and highly available services. CoRR cs.DC/0306064 (2003)
Coauthor Index
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