# | Title | Year |
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60 | A. Parvaiz, E.S. Nasir, and M. M. Fraz, 2024. From Pixels to Prognosis: A Survey on AI-Driven Cancer Patient Survival Prediction Using Digital Histology Images. Journal of Imaging Informatics in Medicine, pp.1-24. https://doi.org/10.1007/s10278-024-01049-2 | 2024 |
60 | H.A. Asghar, B. Khan, Z. Zafar, A.Q.M. Sabri, and M.M. Fraz, 2024. Pakvehicle-reid: a multi-perspective benchmark for vehicle re-identification in unconstrained urban road environment. Multimedia Tools and Applications, 83(17), pp.53009-53024. https://doi.org/10.1007/s11042-023-17070-6 | 2024 |
59 | K. Aftab, L. Tschirren, B. Pasini, P. Zeller, B. Khan, and M.M. Fraz, 2024. Intelligent Fisheries: Cognitive Solutions for Improving Aquaculture Commercial Efficiency Through Enhanced Biomass Estimation and Early Disease Detection. Cognitive Computation, pp.1-23. https://doi.org/10.1007/s12559-024-10292-2 | 2024 |
58 | M.S. Akhtar, Z. Zafar, R. Nawaz, and M.M. Fraz, 2024. Unlocking plant secrets: A systematic review of 3D imaging in plant phenotyping techniques. Computers and Electronics in Agriculture, 222, p.109033. https://doi.org/10.1016/j.compag.2024.109033 | 2024 |
57 | M. Khurshid, M. Shahzad, H.A. Khattak, M.I. Malik, and M.M. Fraz, 2024. Vision Based 3D Localization of UAV Using Deep Image Matching. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/JSTARS.2024.3422310 | 2024 |
56 | M.A. Khalid, A. Khurshid, K. Zulfiqar, U. Bashir, and M.M. Fraz, 2024. A two-stage regression framework for automated cephalometric landmark detection incorporating semantically fused anatomical features and multi-head refinement loss. Expert Systems with Applications, p.124840. https://doi.org/10.1016/j.eswa.2024.124840 | 2024 |
55 | E.S. Nasir, S. Rasool, R. Nawaz, and M.M. Fraz, 2024. AFINITI: attention-aware feature integration for nuclei instance segmentation and type identification. Neural Computing and Applications, pp.1-19. https://doi.org/10.1007/s00521-024-10114-4 | 2024 |
54 | M.Q. Khan, M. Shahzad, S.A. Khan, M.M. Fraz, and X.X. Zhu, 2024. Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization. Pattern Recognition, 155, p.110712.https://doi.org/10.1016/j.patcog.2024.110712 | 2024 |
53 | B. Khan, A. Mumtaz, Z. Zafar, M. Sedkey, E. Benkhelifa, M. M. Fraz, "CGA-Net: channel-wise gated attention network for improved super-resolution in remote sensing imagery." Machine Vision and Applications 34.6 (2023): 128. https://doi.org/10.1007/s00138-023-01477-0 | 2023 |
52 | M. A. Nawshad, A. Saadat, M. M. Fraz, "Boosting facial recognition capability for faces wearing masks using attention augmented residual model with quadruplet loss." Machine Vision and Applications 34.6 (2023): 108. https://doi.org/10.1007/s00138-023-01461-8 | 2023 |
51 | H. Soltani, M. Amroune, I. Bendib, M. Y. Haouam, E. Benkhelifa, M. M. Fraz. "Breast lesions segmentation and classification in a two-stage process based on Mask-RCNN and Transfer Learning." Multimedia Tools and Applications (2023): 1-18. https://doi.org/10.1007/s11042-023-16895-5 | 2023 |
50 | A. Parvaiz, M. A. Khalid, R. Zafar, H. Ameer, M. Ali, M. M. Fraz, "Vision Transformers in medical computer vision—A contemplative retrospection", Engineering Applications of Artificial Intelligence, Volume 122, 2023, 106126, ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2023.106126 | 2023 |
49 | N. Perwaiz, M. Shahzad, M. M. Fraz. "TransPose Re-ID: transformers for pose invariant person Re-identification." Journal of Experimental & Theoretical Artificial Intelligence (2023): 1-14. https://doi.org/10.1080/0952813X.2023.2214570 | 2023 |
48 | A. Zahra, N. Perwaiz, M. Shahzad, M. M. Fraz. "Person re-identification: A retrospective on domain specific open challenges and future trends", Pattern Recognition, Volume 142, 2023, 109669, ISSN 0031-3203, https://doi.org/10.1016/j.patcog.2023.109669 | 2023 |
47 | S. N. Rashid, M. M. Fraz, "Nuclei probability and centroid map network for nuclei instance segmentation in histology images." Neural Computing and Applications 35.21 (2023). https://doi.org/10.1007/s00521-023-08503-2 | 2023 |
46 | S. K. J. Rizvi, M. M. Fraz. "Robust malware clustering of windows portable executables using ensemble latent representation and distribution modeling." Concurrency and Computation: Practice and Experience 35.8 (2023): e7621. https://doi.org/10.1002/cpe.7621 | 2023 |
45 | N. Perwaiz, M. Shahzad, M. M. Fraz. "Ubiquitous vision of transformers for person re-identification". Machine Vision and Applications 34, 27 (2023). https://doi.org/10.1007/s00138-023-01376-4 | 2023 |
44 | R Hassan, MM Fraz, A Rajput, M Shahzad. "Residual Learning with Annularly Convolutional Neural Networks for Classification and Segmentation of 3D Point Clouds". Neurocomputing. https://doi.org/10.1016/j.neucom.2023.01.026 | 2023 |
43 | G. M. Dogar, M. Shahzad, M. M. Fraz (2023). "Attention augmented distance regression and classification network for nuclei instance segmentation and type classification in histology images". Biomedical Signal Processing and Control, 79, 104199. https://doi.org/10.1016/j.bspc.2022.104199 | 2023 |
42 | E. S. Nasir, A. Parvaiz, and M. M. Fraz. "Nuclei and glands instance segmentation in histology images: a narrative review." Artificial Intelligence Review 56.8 (2023): 7909-7964. https://doi.org/10.1007/s10462-022-10372-5 | 2023 |
41 | N. Pervaiz, M. M. Fraz & M. Shahzad. Smart surveillance with simultaneous person detection and re-identification. Multimed Tools Appl (2022). https://doi.org/10.1007/s11042-022-13458-y | 2022 |
40 | N. Pervaiz, M. M. Fraz & M. Shahzad. Per-former: rethinking person re-identification using transformer augmented with self-attention and contextual mapping. Vis Comput (2022). https://doi.org/10.1007/s00371-022-02577-0 | 2022 |
39 | S. S. Ali Zaidi, M. M. Fraz, M. Shahzad, & S. Khan (2022). A multiapproach generalized framework for automated solution suggestion of support tickets. International Journal of Intelligent Systems, 37(6), 3654-3681. https://doi.org/10.1002/int.22701 | 2022 |
38 | S.A. Badawi, M. M. Fraz, M. Shehzad, et al. Detection and Grading of Hypertensive Retinopathy Using Vessels Tortuosity and Arteriovenous Ratio. J Digit Imaging 35, 281–301 (2022). https://doi.org/10.1007/s10278-021-00545-z | 2022 |
37 | S.K.J. Rizvi, M.A. Azad, & M.M. Fraz, Spectrum of Advancements and Developments in Multidisciplinary Domains for Generative Adversarial Networks (GANs). Arch Computat Methods Eng 28, 4503–4521 (2021). https://doi.org/10.1007/s11831-021-09543-4 | 2021 |
36 | S. K. J. Rizwi, W. Aslam, M. Shahzad, S. Saleem, M. M. Fraz , "PROUD-MAL: static analysis-based progressive framework for deep unsupervised malware classification of windows portable executable", Complex & Intelligent Systems, Vol. 21 , No. 2, Oct, 2021. https://doi.org/10.1007/s40747-021-00560-1 | 2021 |
35 | S. S. A. Zaidi, M. M. Fraz, M. Shahzad , "A multiapproach generalized framework for automated solution suggestion of support tickets", International Journal of Intelligent Systems, Vol. 21 , No. 2, Sep, 2021. https://doi.org/10.1002/int.22701 | 2021 |
34 | N. Perwaiz, M. M. Fraz, M. Shahzad , "Stochastic attentions and context learning for person re-identification", PeerJ Computer Science, Vol. 7 , No. e447, May, 2021. https://doi.org/10.7717/peerj-cs.447 | 2021 |
33 | S. K. J. Rizwi, M. A. Azad, M. M. Fraz , "Spectrum of Advancements and Developments in Multidisciplinary Domains for Generative Adversarial Networks (GANs)", Archives of Computational Methods in Engineering, Vol. 2021 , No. 1, Apr, 2021. https://doi.org/10.1007/s11831-021-09543-4 | 2021 |
32 | I Khurram, M.M. Fraz , M Shahzad, NM Rajpoot , "Dense-CaptionNet: A Sentence Generation Architecture for Fine-Grained Description of Image Semantics", Cognitive Computing, Vol. 13 , No. 1, PP. 595-691, Mar, 2021. https://doi.org/10.1007/s12559-019-09697-1 | 2021 |
31 | I. Mahmood, M. Mobeen, A. U. Rahman, S. Younis, A. W. Malik, M. M. Fraz, KafaitUllah , "Modeling, simulation and forecasting of wind power plants using agent-based approach", Journal of Cleaner Production, Vol. 276 , No. 1, Dec, 2020. https://doi.org/10.1016/j.jclepro.2020.124172 | 2020 |
30 | S. Mehmood, M. Shahzad, M.M. Fraz , "DCARN: Deep Context Aware Recurrent Neural Network for Semantic Segmentation of Large Scale Unstructured 3D Point Cloud", Neural Processing Letters, Vol. 52 , No. 3, Oct, 2020. https://doi.org/10.1007/s11063-020-10368-8 | 2020 |
29 | S. Javed, A. Mahmood, M. M. Fraz, , NA Koohbanani, K. Benes, Y. Tsang, K. Hewitt, D, Epstein, D. Snead, N. M. Rajpoot , "Cellular community detection for tissue phenotyping in colorectal cancer histology images", Medical Image Analysis, Vol. 63 , No. 1, Jul, 2020. https://doi.org/10.1016/j.media.2020.101696 | 2020 |
28 | M.A. Hashmi, Q. Riaz, M. Zeeshan M. Shahzad, M. M. Fraz , "Motion Reveal Emotions: Identifying Emotions from Human Walk Using Chest Mounted Smartphone", IEEE Sensors Journal, Vol. 2020 , No. 1, Jun, 2020. https://doi.org/10.1109/JSEN.2020.3004399 | 2020 |
27 | M. Haroon, M. Shahzad, M.M. Fraz , "Multi-sized Object Detection Using Spaceborne Optical Imagery", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Vol. 0 , No. 0, PP. , Jun, 2020. https://doi.org/10.1109/JSTARS.2020.3000317 | 2020 |
26 | M. Shaban, R. Awan, M.M. Fraz , A. Azam, Y. Tsang, D. Snead, N.M. Rajpoot , "Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images", IEEE Transactions on Medical Imaging, Vol. 21 , No. 1, Feb, 2020. https://doi.org/10.1109/TMI.2020.2971006 | 2020 |
25 | T. Zaheer, A. W. Malik, A. U. Rahman, A. Zahir, M. M. Fraz , "A vehicular network–based intelligent transport system for smart cities", International Journal of Distributed Sensor Networks, Vol. 10 , No. 1, Nov, 2019. https://doi.org/10.1177/1550147719888845 | 2019 |
24 | M.M. Fraz , S. A. Khurran, S. Graham, M. Shaban, Asif Loya, N.M. Rajpoot , "FABnet: Feature attention based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer", Neural Computing and Applications, Vol. 20 , No. 1, Nov, 2019. https://doi.org/10.1007/s00521-019-04516-y | 2019 |
23 | M.M. Fraz , M. Badar, A.W. Malik, S. A. Barman , "Computational Methods for Exudates Detection and Macular Edema Estimation in Retinal Images: A Survey", Archives of Computational Methods in Engineering, Vol. 26 , No. 4, PP. 1193–1220, Sep, 2019. https://doi.org/10.1007/s11831-018-9281-4 | 2019 |
22 | M. Shaban, S.A. Khurram, M. M. Fraz , N. Alsubaie, I. Masood, S. Mushtaq, M. Hassan, A. Loya & N. M. Rajpoot , "A Novel Digital Score for Abundance of Tumour Infiltrating Lymphocytes Predicts Disease Free Survival in Oral Squamous Cell Carcinoma", Nature Scientific Reports, Vol. 9 , No. 1, PP. 13341 (2019) , Sep, 2019. https://doi.org/10.1038/s41598-019-49710-z | 2019 |
21 | S. B. Ahmed, S. F. Ali, J. Ahmad, M. Adnan, M. M. Fraz , "On the Frontiers of Pose Invariant Face Recognition: A Review", Artificial Intelligence Review, Vol. 2019 , No. 1, PP. 1-64, Jul, 2019. https://doi.org/10.1007/s10462-019-09742-3 | 2019 |
20 | S. Arshad, M. Shahzad, Q. Riaz, M. M. Fraz , "DPRNet: Deep 3D Point based Residual Network for Semantic Segmentation and Classification of 3D Point Clouds", IEEE Access, Vol. 8 , No. 1, May, 2019. https://doi.org/10.1007/s10462-019-09742-3 | 2019 |
19 | S. A. Badawi and M. M. Fraz , "Multiloss Function Based Deep Convolutional Neural Network for Segmentation of Retinal Vasculature into Arterioles and Venules", BioMed Research International, Vol. 2019 , No. 1, PP. 17, Apr, 2019. https://doi.org/10.1155/2019/4747230 | 2019 |
18 | R. M. S. Bashir, M. Shahzad, M. M. Fraz , "VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture", Pattern Recognition, Vol. 90 , No. 1, PP. 52-65, Jan, 2019. https://doi.org/10.1016/j.patcog.2019.01.008 | 2019 |
17 | C. G. Owen, A. R Rudnicka, R. A Welikala, M. M. Fraz, S. A Barman , R. Luben, S. A Hayat, K. T. Khaw, D. P Strachan, P. H Whincup, P. J Foster , "Retinal vasculometry associations with cardiometabolic risk factors in the European Prospective Investigation of Cancer Norfolk study", Ophthalmology, Vol. 126 , No. 1, PP. 96-106, Jan, 2019. https://doi.org/10.1016/j.ophtha.2018.07.022 | 2019 |
16 | N. Pervaiz, M. M. Fraz, M. Shahzad , "Person Re-Identification Using Hybrid Representation Reinforced by Metric Learning", IEEE Access, Vol. 7 , No. 1, Dec, 2018. https://doi.org/10.1109/ACCESS.2018.2882254 | 2018 |
15 | S.A. Badawi, M.M. Fraz , "Optimizing the trainable B-COSFIRE filter for retinal blood vessel segmentation", PeerJ, Vol. 6 , No. 1, PP. 5855, Nov, 2018. https://doi.org/10.7717/peerj.5855 | 2018 |
14 | M. N. Zahoor, M. M. Fraz , "A Correction to the Article “Fast Optic Disc Segmentation in Retina Using Polar Transform”", IEEE Access, Vol. 6 , No. 1, PP. 4845 - 4849, Jan, 2018. https://doi.org/10.1109/ACCESS.2018.2790040 | 2018 |
13 | M. M Fraz , W. Jahangir, S. Zahid, M. M. Hamayun, S. A. Barman , "Multiscale segmentation of exudates in retinal images using contextual cues and ensemble classification", Biomedical Signal Processing and Control, Vol. 35 , No. 1, PP. 50-62, May, 2017. https://doi.org/10.1016/j.bspc.2017.02.012 | 2017 |
12 | M. Abdullah, M.M. Fraz, S.A. Barman , "Localization and segmentation of optic disc in retinal images using Circular Hough transform and Grow Cut algorithm", PeerJ, Vol. 4 , No. 1, PP. 1-23, Apr, 2016. https://doi.org/10.7717/peerj.2003 | 2016 |
11 | RA Welikala, M.M. Fraz, PJ Foster, PH Whincup, AR Rudnicka, CG Owen, DP Strachan, SA Barman , "Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies", Computers in Biology and Medicine, Vol. 71 , No. 1, PP. 67–76, Apr, 2016. https://doi.org/10.1016/j.compbiomed.2016.01.027 | 2016 |
10 | M.M. Fraz , R.A. Welikala, A.R. Rudnicka, C.G. Owen, D.P. Strachan, S.A. Barman , "QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size – An automated system for quantification of retinal vessels morphology", Expert Systems with Applications, Vol. 42 , No. 20, PP. 7221, Nov, 2015. https://doi.org/10.1016/j.eswa.2015.05.022 | 2015 |
9 | R.A. Welikala, M.M. Fraz, T.H. Williamson, S.A. Barman , , "The automated detection of proliferative diabetic retinopathy using dual ensemble classification", International Journal of Diagnostic Imaging, Vol. 2 , No. 2, PP. , Sep, 2015. https://doi.org/10.5430/ijdi.v2n2p72 | 2015 |
8 | R.A. Welikala, M.M. Fraz , J. Dehmeshki, A. Hoppe, V. Tah, S. Mann, T.H. Williamson, S.A. Barman , "Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy", Computerized Medical Imaging and Graphics, Vol. 43 , No. 7, PP. 64-77, Jul, 2015. https://doi.org/10.1016/j.compmedimag.2015.03.003 | 2015 |
7 | A. Basit, M.M.Fraz , "Optic disc detection and boundary extraction in retinal images", Applied Optics, Vol. 54 , No. 11, PP. 3440-3447, Apr, 2015. https://doi.org/10.1364/AO.54.003440 | 2015 |
6 | M.M. Fraz , A. R. Rudnicka, C. G. Owen, S. A. Barman , "Delineation of blood vessels in paediatric retinal images using decision trees-based ensemble classification.", International journal of computer assisted radiology and surgery, Vol. 9 , No. 5, PP. 795-811, Sep, 2014. https://doi.org/10.1007/s11548-013-0965-9 | 2014 |
5 | M.M. Fraz , A. Basit, S. A. Barman , "Application of Morphological Bit Planes in Retinal Blood Vessel Extraction", Journal of Digital Imaging, Vol. 26 , No. 2, PP. 274-286, Apr, 2013. IF: 2.572 https://doi.org/10.1007/s10278-012-9513-3 | 2013 |
4 | M.M. Fraz , P. Remagnino, A. Hoppe, A. Rudnicka, C.G. Owen, P. H. Whincup, S.A. Barman , "Quantification of blood vessel calibre in retinal images of multi-ethnic school children using model based approach", Computerized Medical Imaging and Graphics, Vol. 37 , No. 1, PP. 48-60, Jan, 2013. https://doi.org/10.1016/j.compmedimag.2013.01.004 | 2013 |
3 | M.M. Fraz , S.A. Barman, P. Remagnino, A. Hoppe, A. Basit, B. Uyyanonvara, A.R. Rudnicka, C.G. Owen , "An approach to localize the retinal blood vessels using bit planes and centerline detection", Computer Methods and Programs in Biomedicine, Vol. 108 , No. 2, PP. 600-616, Nov, 2012. https://doi.org/10.1016/j.cmpb.2011.08.009 | 2012 |
2 | M.M. Fraz , P. Remagnino, A. Hoppe, B. Uyyanonvara, A.R. Rudnicka, C.G. Owen, S.A. Barman , "Blood vessel segmentation methodologies in retinal images – A survey", Computer Methods and Programs in Biomedicine, Vol. 108 , No. 1, PP. 407-433, Oct, 2012. https://doi.org/10.1016/j.cmpb.2012.03.009 | 2012 |
1 | M.M. Fraz , P. Remagnino, A. Hoppe, B. Uyyanonvara, A.R. Rudnicka, C.G. Owen, S.A. Barman , "An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation", IEEE Transactions on Biomedical Engineering, Vol. 59 , No. 9, PP. 2538-2548, Sep, 2012. https://doi.org/10.1109/TBME.2012.2205687 | 2012 |
# | Title | Year |
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75 | R. Khan, M.A. Khalid, K. Zulfiqar, U. Bashir, and M.M. Fraz, 2024, July. Enhancing Cephalometric Landmark Detection with a Two-Stage Cascaded CNN on Multi-resolution Multi-modal Data. In Annual Conference on Medical Image Understanding and Analysis (pp. 3-18). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-66958-3_1 | 2024 |
74 | R. Zafar, B. Khan, and M.M. Fraz, 2023, November. PakWaterSeg: A Multi-Temporal Satellite Water Bodies Dataset. In 2023 18th International Conference on Emerging Technologies (ICET) (pp. 287-292). IEEE https://doi.org/10.1109/ICET59753.2023.10374757 | 2024 |
73 | V. Mehmood, A. I. Malik, Z. Zafar, M. Shahzad, K. Berns, M. M. Fraz, "Multi-year monitoring of wheat phenology and effect of climate change in the south Asian region using Sentinel-2 NDVI time series analysis." Image and Signal Processing for Remote Sensing XXIX. Vol. 12733. SPIE, 2023. https://doi.org/10.1117/12.2683148 | 2023 |
72 | V. Mehmood, R. Murtaza, Z. Zafar, M. Shahzad, K. Berns, M. M. Fraz, "Time series-based active labeling framework for curating a multispectral sentinel 2 imagery dataset for crop type mapping." IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023. https://doi.org/10.1109/IGARSS52108.2023.10282084 | 2023 |
71 | K. Shahzad, S. Iqbal, M. M. Fraz, "Automated Solution Development for Smart Grids: Tapping the Power of Large Language Models", 2023, 17th International Conference on Engineering of Modern Electric Systems (EMES), https://doi.org/10.1109/EMES58375.2023.10171681 | 2023 |
70 | H. Amjad, M. S. Ashraf, S. Z. A. Sherazi, S. Khan, M. M. Fraz, T. Hameed S. A. C. Bukhari, "Attention-Based Explainability Approaches in Healthcare Natural Language Processing." (2023). https://doi.org/10.5220/001192730000341410.5220/0011927300003414 | 2023 |
69 | A. H. Khan, Z. Zafar, M. Shahzad, K. Berns and M. M. Fraz, "Crop Type Classification using Multi-temporal Sentinel-2 Satellite Imagery: A Deep Semantic Segmentation Approach," 2023 International Conference on Robotics and Automation in Industry (ICRAI), Peshawar, Pakistan, 2023, pp. 1-6, https://doi.org/10.1109/ICRAI57502.2023.10089586 | 2023 |
68 | Learning Disease Specific Knowledge Graph from Unstructured Radiology Reports and Electronic Health Records (EHRs) Authors Farina Tariq, Saad A Khan, MM Fraz Publication date 2022/11/29 Conference 2022 17th International Conference on Emerging Technologies (ICET) Pages 101-106 Publisher IEEE. https://doi.org/10.1109/ICET56601.2022.10004679 | 2022 |
67 | Analysis of Vegetation Indices in the Cotton Crop in South Asia region using UAV Imagery Authors Noor us Sabah, Muhammad Usama, Zuhair Zafar, Muhammad Shahzad, Muhammad Moazam Fraz, Karsten Berns Publication date 2022/11/29 Conference 2022 17th International Conference on Emerging Technologies (ICET) Pages 70-75 Publisher IEEE. https://doi.org/10.1109/ICET56601.2022.10004662 | 2022 |
66 | An Efficient Adversarial Defiance Towards Malware Detection System (MDS) Authors Syed Khurram Jah Rizvi, Muhammad Moazam Fraz Publication date 2022/12/19 Conference 2022 IEEE 19th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pages 178-182 Publisher IEEE. https://doi.org/10.1109/HONET56683.2022.10019076 | 2022 |
65 | Esha S. Nasir and M.M. Fraz, "NuRiSC: Nuclei Radial instance Segmentation & Classification", in the proceedings of 3rd International Conference on Medical Imaging and Computer-Aided Diagnosis, 20-21, Nov 2022, University of Leicester, UK | 2022 |
64 | F. Tariq, S. A. Khan and M.M. Fraz, "Schema based Knowledge graph for Clinical Knowledge Representation from Structured and Unstructured Oncology Data", in the proceedings of 3rd International Conference on Medical Imaging and Computer-Aided Diagnosis, 20-21, Nov 2022, University of Leicester, UK | 2022 |
63 | M. A. Nawshad, Z. Zafar and M. M. Fraz, "Recognition of Faces Wearing Masks Using Skip Connection Based Dense Units Augmented With Self Restrained Triplet Loss," 2022 24th International Multitopic Conference (INMIC), Islamabad, Pakistan, 2022, pp. 1-7, https://doi.org/10.1109/INMIC56986.2022.9972912 | 2022 |
62 | N. Perwaiz, M. Shahzad and M. M. Fraz, "Unveiling the Potential of Vision Transformer Architecture for Person Re-identification," 2022 24th International Multitopic Conference (INMIC), Islamabad, Pakistan, 2022, pp. 1-6, https://doi.org/10.1109/INMIC56986.2022.9972908 | 2022 |
61 | S. Wazir and M. M. Fraz, "HistoSeg: Quick attention with multi-loss function for multi-structure segmentation in digital histology images," 2022 12th International Conference on Pattern Recognition Systems (ICPRS), 2022, pp. 1-7, https://doi.org/10.1109/ICPRS54038.2022.9854067 | 2022 |
60 | B. Khan, M. M. Fraz, A. Mumtaz, "Enhanced Super-Resolution via Squeeze-and-Residual-Excitation in Aerial Imagery," 2021 International Conference on Frontiers of Information Technology (FIT), 2021, pp. 19-24, https://doi.org/10.1109/FIT53504.2021.00014 | 2021 |
58 | A. Rasool, M. M. Fraz, S. Javed, “Multiscale Unified Network for Simultaneous Segmentation of Nerves and Micro-vessels in Histology Images”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441509 | 2021 |
57 | G.M. Dogar, M.M. Fraz, S. Javed, “Feature Attention Network for Simultaneous Nuclei Instance Segmentation and Classification in Histology Images”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441474 | 2021 |
56 | M. A. Nawshad, U. A. Shami, S. Sajid, M. M. Fraz, “Attention Based Residual Network for Effective Detection of COVID-19 and Viral Pneumonia”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441485 | 2021 |
55 | T. S. S. Hashmi, N. Haq, M. M. Fraz, M. Shahzad, “Application of Deep Learning for Weapons Detection in Surveillance Videos”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441523 | 2021 |
54 | S. Sattar, Y. Sattar, M. Shahzad, M. M. Fraz, “Group Activity Recognition in Visual Data: A Retrospective Analysis of Recent Advancements”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441478 | 2021 |
53 | R. Faizan, M. M. Fraz, M. Shahzad, “IAB-Net: Informative and Attention Based Person Re-Identification”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441480 | 2021 |
52 | A. H. Khan, M. M. Fraz, M. Shahzad, “Deep Learning Based Land Cover and Crop Type Classification: A Comparative Study”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441483 | 2021 |
51 | M. S. Arshad, U. A. Rehman, M. M. Fraz, “Plant Disease Identification Using Transfer Learning”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441512 | 2021 |
50 | A. M. Shahid, M. M. Fraz, M. Shahzad, “Large Scale Face Recognition In the Wild: Technical Challenges and Research Directions”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441525 | 2021 |
49 | A. Jamshed, M. M. Fraz, “NLP Meets Vision for Visual Interpretation - A Retrospective Insight and Future directions”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441517 | 2021 |
48 | N. Haq, T. S. S. Hashmi, M. M. Fraz, M. Shahzad, “Rotation Aware Object Detection Model with Applications to Weapons Spotting in Surveillance Videos”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441538 | 2021 |
47 | H. S. A. Qasim, M. Shahzad, M. M. Fraz, “Deep Learning for Face Detection: Recent Advancements”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441476 | 2021 |
46 | S. N. Rashid, M. M. Fraz, S. Javed, “Multiscale Dilated UNet for Segmentation of Multi-Organ Nuclei in Digital Histology Images”, Proceedings of the 17th IEEE International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), Dec, 2020, UNC Charlotte, USA. https://doi.org/10.1109/HONET50430.2020.9322833 | 2020 |
45 | W. Aslam, M. M. Fraz, S. K. Rizvi, S. Saleem, “Cross-validation of machine learning algorithms for malware detection using static features of Windows portable executables: A Comparative Study”, Proceedings of the 17th IEEE International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), Dec, 2020, UNC Charlotte, USA. https://doi.org/10.1109/HONET50430.2020.9322809 | 2020 |
44 | U. Javed, M. M. Fraz, I. Mahmood, M. Shahzad, O Arif, “Forecasting of Electricity Generation for Hydro Power Plants”, Proceedings of the 17th IEEE International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), Dec, 2020, UNC Charlotte, USA. https://doi.org/10.1109/HONET50430.2020.9322841 | 2020 |
43 | N. Perwaiz, M. M. Fraz, M. Shahzad, “Smart Visual Surveillance: Proactive Person Re-identification instead of Impulsive Person Search”, Proceedings of the 23rd IEEE International Multitopic Conference (INMIC 2020), Nov, 2020, Bahawalpur, Pakistan. https://doi.org/10.1109/INMIC50486.2020.9318107 | 2020 |
42 | MK Yaqoob, SF Ali, I. Kareem, M. M. Fraz, “Feature-based optimized deep residual network architecture for diabetic retinopathy detection”, Proceedings of the 23rd IEEE International Multitopic Conference (INMIC 2020), Nov, 2020, Bahawalpur, Pakistan. https://doi.org/10.1109/INMIC50486.2020.9318096 | 2020 |
41 | RMS Bashir, H. Mahmood, SEA Raza, M. M. Fraz, A. Khurram, N.M.Rajpoot, “Automated Grade Classification of Oral Epithelial Dysplasia using Morphometric Analysis of Histology Images”; SPIE Medical Imaging Conference on Digital Pathology, 19 – 20 February 2020 https://doi.org/10.1117/12.2549705 | 2020 |
40 | N. Pervaiz, M.M. Fraz, M. Shahzad; “Hierarchical Refined Local Associations for Robust Person Re-Identification”; Proceedings of 3rd IEEE International Conference on Robotics and Automation, Islamabad, Pakistan https://doi.org/10.1109/ICRAI47710.2019.8967389 | 2019 |
39 | M.M. Fraz, M. Shaban, S. Graham, S. A. Khurram, N. M. Rajpoot, “Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images”; Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2018, Granada, Spain. https://doi.org/10.1007/978-3-030-00949-6_19 | 2018 |
38 | Sajid Javed, M.M. Fraz, David Epstein, David Snead, Nasir M. Rajpoot, “Cellular Community Detection for Tissue Classification“; Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2018, Granada, Spain https://doi.org/10.1016/j.media.2020.101696 | 2018 |
37 | S. Batool, M. Z. Ali, M. Shahzad, M. M. Fraz, “End to End Person Re-Identification for Automated Visual Surveillance”; Proceedings of the International Conference on Image Processing, Applications and Systems (IPAS), Dec 2018, Sophia Antipolis, France. https://doi.org/10.1109/IPAS.2018.8708882 | 2018 |
36 | W. Anser, M. M. Fraz, M. Shahzad, “Two Stream Deep CNN-RNN Attentive Pooling Architecture for Video-based Person Re-identification”; Proceedings of the 23rd Iberoamerican Congress on Pattern Recognition, Nov 2018, Madrid, Spain. https://doi.org/10.1007/978-3-030-13469-3_76 | 2018 |
35 | R. M. S. Bashir, M. Shahzad, M. M. Fraz, “DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification”; Proceedings of the 13th International Symposium on Visual Computing, Nov 2018, Las Vegas, United States. https://doi.org/10.1007/978-3-030-03801-4_26 | 2018 |
34 | Naima Mubariz, Saba Mumtaz, M. M. Hamayun and M. M. Fraz,“Optimization of Person Re-Identification through Visual Descriptors”; Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Jan, 2018, Funchal, Madeira, Portugal. https://doi.org/10.5220/0006613303480355 | 2018 |
33 | F. Kamran, M. Shahzad, F. Shafait, “Automated Military Vehicle Detection from Low-Altitude Aerial Images”; Proceedings of the Digital Image Computing: Techniques and Applications (DICTA), Dec, 2018, Canberra, Australia. https://doi.org/10.1109/DICTA.2018.8615865 | 2018 |
32 | M.Shahzad, M. Maurer, F. Fraundorfer, Y. Wang, X. X. Zhu, “Extraction of buildings in vhr SAR images using fully convolution neural networks”; Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2018, Valencia,Spain. https://doi.org/10.1109/IGARSS.2018.8519603 | 2018 |
31 | Sufian AlBadawi, M.M. Fraz, “Arterioles and Venules Classification in Retinal Images Using Fully Convolutional Deep Neural Network”; Proceedings of the 15th International Conference Image Analysis and Recognition, Jun 2018, Póvoa de Varzim, Portugal. https://doi.org/10.1007/978-3-319-93000-8_75 | 2018 |
30 | M. Bader, M. Shahzad, M. M. Fraz, “Simultaneous Segmentation of Multiple Retinal Pathologies Using Fully Convolutional Deep Neural Network”; Proceedings of the 22nd Conference on Medical Image Understanding and Analysis 2018, Jul 2018, Southempton, United Kingdom. https://doi.org/10.1007/978-3-319-95921-4_29 | 2018 |
29 | I. Khurram, M. M. Fraz, M. Shahzad, “Detailed Sentence Generation Architecture for Image Semantics Description”; Proceedings of the 13th International Symposium on Visual Computing, Nov 2018, Las Vegas, United States. https://doi.org/10.1007/978-3-030-03801-4_37 | 2018 |
28 | S. Mumtaz, N. Mubariz, S. Saleem, M. M. Fraz, “Weighted hybrid features for person re-identification”; Proceedings of the 7th International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017, Dec, 2017, Montreal, QC, Canada. https://doi.org/10.1109/IPTA.2017.8310107 | 2017 |
27 | Y. Sun, M. Shahzad, X. X. Zhu, “Building Height Estimation in Single SAR image using OSM building footprints”; Proceedings of the Joint Urban Remote Sensing Event (JURSE), Mar, 2017, Dubai, United Arab Emirates. https://doi.org/10.1109/JURSE.2017.7924549 | 2017 |
26 | M. Shahzad, X. X. Zhu, R. Bamler,“Façade structure reconstruction using spaceborne TomoSAR point clouds”; Proceedings of the IEEE Geoscience and Remote Sensing Symposium (IGARSS), Jan 2016, Munich, Germany. https://doi.org/10.1109/IGARSS.2012.6351385 | 2016 |
25 | X. X. Zhu, N. Ge, M. Shahzad, “Group Sparsity in SAR Tomography – Experiments on TanDEM-X Data Stacks”; Proceedings of the 16th International Radar Symposium (IRS), Jan, 2016, Dresden,Germany. https://doi.org/10.1109/IRS.2015.7226354 | 2016 |
24 | X. X. Zhu, N. Ge, M. Shahzad,“Exploiting Group Sparsity in SAR Tomography”; Proceedings of the 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), Jan 2016, Pisa, Italy. https://doi.org/10.1109/CoSeRa.2015.7330255 | 2016 |
23 | Y. Sun, M. Shahzad, X. X. Zhu, “First prismatic building model reconstruction from TomoSAR point clouds”; Proceedings of the XXIII ISPRS Congress 2016, Prague, Czech Republic, Jan 2016, Prague,Czech Republic. https://doi.org/10.5194/isprs-archives-XLI-B3-381-2016 | 2016 |
22 | M. Schmitt, M. Shahzad, X. X. Zhu,, “Forest remote sensing on the individual tree level by airborne millimeterwave SAR”; Proceedings of the IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2016, Beijing, China, Jan 2016, Beijing, China https://doi.org/10.1109/IGARSS.2016.7729030 | 2016 |
21 | M. Shahzad, M. Schmitt, X. X. Zhu, “Segmentation and crown parameter extraction of individual trees in an airborne TomoSAR point cloud”; Proceedings of the PIA15+HRIGI15 – Joint ISPRS conference, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-3/W2, 2015, Jan 2015, Munich, Germany. https://doi.org/10.5194/isprsarchives-XL-3-W2-205-2015 | 2015 |
20 | M. Shahzad, X. X. Zhu, “Detection Of Buildings In Spaceborne TomoSAR Point Clouds Via Hybrid Region Growing And Energy Minimizatison Technique”; Proceedings of the Joint Urban Remote Sensing Conference (JURSE), Jan 2015, Lausanne, Switzerland. https://doi.org/10.1109/JURSE.2015.7120480 | 2015 |
19 | M. Abdullah and M. M. Fraz, “Application of grow cut algorithm for localization and extraction of optic disc in retinal images”; Proceedings of the 12th International Conference on High-capacity Optical Networks and Enabling/Emerging Technologies (HONET), Dec 2015, Islamabad, Pakistan. https://doi.org/10.1109/HONET.2015.7395436 | 2015 |
18 | R.A. Welikala, M.M. Fraz, S. Hayat, A.R. Rudnicka, P.J. Foster, P.H. Whincup, C.G. Owen, D.P. Strachan, S.A. Barman, “Automated retinal vessel recognition and measurements on large datasets”; Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015 Aug, 2015, Milan,Italy. https://doi.org/10.1109/EMBC.2015.7319573 | 2015 |
17 | M. Shahzad, X. X. Zhu, “Automatic Large Area Reconstruction of Building Facades from Spaceborne TomoSAR Point Clouds”; Proceedings of the IEEE Geoscience and Remote Sensing Symposium (IGARSS), Jan 2014, Quebec, Canada. https://doi.org/10.1109/IGARSS.2014.6946734 | 2014 |
16 | M. Shahzad, X. X. Zhu, “Reconstructing 2-D/3-D Building Shapes From Spaceborne Tomographic SAR Point Clouds”; Proceedings of the Photogrammetric Computer Vision (PCV), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Technical Commission III Symposium, Jan 2014,,Switzerland. https://doi.org/10.5194/isprsarchives-XL-3-313-2014 | 2014 |
15 | X. X. Zhu, Y. Wang, M. Shahzad, R. Bamler, “Spaceborne TomoSAR and Beyond: From SAR Image Stacks to Objects”; Proceedings of the 10th European Conference on Synthetic Aperture Radar (EUSAR), Jan 2014, Berlin, Germany. https://ieeexplore.ieee.org/abstract/document/6857051 | 2014 |
14 | M.M. Fraz, A.R. Rudnicka, C.G. Owen, D.P. Strachan, S.A. Barman,“Automated Arteriole and Venule Recognition in Retinal Images using Ensemble Classification”; Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISAAP), Jan 2014, Lisbon, Portugal. https://ieeexplore.ieee.org/abstract/document/7295080 | 2014 |
13 | M. Shahzad, X. X. Zhu, “Building façades reconstruction using multi-view tomosar point clouds”; Proceedings of the Joint Urban Remote Sensing Event (JURSE), Jan 2013, Sao Paulo, Brazil. https://doi.org/10.1109/JURSE.2013.6550691 | 2013 |
12 | M. Shahzad, X. X. Zhu, “Robust Building Facade Reconstruction from Spaceborne TomoSAR Points”; Proceedings of the CMRT13 – City Models, Roads and Traffic 2013 – ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Jan 2013, Antalya, Turkey. https://elib.dlr.de/86149/ | 2013 |
11 | X. X. Zhu, M. Shahzad, Y. Wang, R. Bamler, “Tomographic Urban Imaging Using TerraSAR-X High Resolution Spotlight Data Stacks”; Proceedings of the ESA Living Planet Symposium 2013 Jan, Edinburgh, United Kingdom. https://mediatum.ub.tum.de/1435762 | 2013 |
10 | M. Shahzad, X. X. Zhu, “Reconstruction of Building Facades Using Spaceborne Multiview TomoSAR Point Clouds”; Proceedings of the IEEE Geoscience and Remote Sensing Symposium (IGARSS), Jan 2013, Melbourne, Australia. https://doi.org/10.1109/IGARSS.2013.6721234 | 2013 |
9 | M.M. Fraz, P. Remagnino, A. Hoppe, S.A. Barman, “Retinal image analysis aimed at extraction of vascular structure using linear discriminant classifier”; Proceedings of the IEEE International Conference on Computer Medical Applications ICCMA’ 2013, Jan 2013, Sousse, Tunisia. https://doi.org/10.1109/ICCMA.2013.6506180 | 2013 |
8 | M. Shahzad, X. X. Zhu, “From TomoSAR Point Clouds to Objects: Facade Reconstruction”; Proceedings of the Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS), Jan 2012, Naples, Italy. https://doi.org/10.1109/TyWRRS.2012.6381113 | 2012 |
7 | M.M. Fraz, P. Remagnino, A. Hoppe, B. Uyyanonvara, A. Rudnicka, C.G. Owen, S.A. Barman, “Retinal vessel segmentation using ensemble classifier of bagged decision trees”; Proceedings of the IET Conference on Image Processing, Jul 2012, London, United Kingdom. https://doi.org/10.1049/cp.2012.0458 | 2012 |
6 | M.M. Fraz, P. Remagnino, A. Hoppe, A. Rudnicka, C.G. Owen, P. H. Whincup, S.A. Barman, “A model based approach for vessel calibre measurement in retinal images”; Proceedings of the 8th International Conference on Signal Image Technology & Internet Based Systems (SITIS), Nov 2012, Sorrento, Italy. https://doi.org/10.1109/SITIS.2012.29 | 2012 |
5 | M.M. Fraz, A. Basit, P. Remagnino, A. Hoppe, S.A. Barman, “Retinal vasculature segmentation by morphological curvature, reconstruction and adapted hysteresis thresholding”; Proceedings of the 7th International Conference on Emerging Technologies (ICET 2011), Sep 2011, Islamabad, Pakistan. https://doi.org/10.1109/ICET.2011.6048487 | 2011 |
4 | M.M. Fraz, P. Remagnino, A. Hoppe, S. Velastin, B. Uyyanonvara, S.A. Barman, “A Supervised Method for Retinal Blood Vessel Segmentation Using Line Strength, Multiscale Gabor and Morphological Features”; Proceedings of the IEEE International Conference on Signal & Image Processing Applications, Nov 2011,Kuala Lumpur, Malaysia. https://doi.org/10.1109/ICSIPA.2011.6144129 | 2011 |
3 | M.M. Fraz, M.Y. Javed, A. Basit, “Evaluation of Retinal Vessel Segmentation Methodologies Based on Combination of Vessel Centerlines and Morphological Processing”; Proceedings of the 4th IEEE International Conference on Emerging Technologies (ICET 2008), Oct 2008, Islamabad, Pakistan. https://doi.org/10.1109/ICET.2008.4777506 | 2008 |
2 | M.M. Fraz, M.Y. Javed, A. Basit, “Retinal Vessels Extraction Using Bitplanes”; Proceedings of the 8th IASTED International Conference on Visualization, Imaging, and Image Processing, Sep 2008, Palma De Mallorca, Spain. https://www.actapress.com/Abstract.aspx?paperId=33922 | 2008 |
1 | M.A. Jan, F.A. Zahid, M.M. Fraz, Arshad Ali, “Exploiting peer group concept for adaptive and highly available services”; Proceedings of the Computing in High Energy and Nuclear Physics (CHEP 03), Mar 2003, La Jolla California, United States. https://eprints.kingston.ac.uk/id/eprint/16843 | 2003 |
# | Book/Chapter | Year |
---|---|---|
7 | M.A, Nawshad, M.M. Fraz (2023). Improving Masked Face Recognition Using Dense Residual Unit Aided with Quadruplet Loss. In: Yan, W.Q., Nguyen, M., Stommel, M. (eds) Image and Vision Computing. IVCNZ 2022. Lecture Notes in Computer Science, vol 13836. Springer, Cham. https://doi.org/10.1007/978-3-031-25825-1_25 | 2023 |
6 | M.M. Fraz, Shaban, M., Graham, S., Khurram, S.A., Rajpoot, N.M. (2018). Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images. In: , et al. Computational Pathology and Ophthalmic Medical Image Analysis. OMIA COMPAY 2018 2018. Lecture Notes in Computer Science, vol 11039. Springer, Cham. https://doi.org/10.1007/978-3-030-00949-6_19 | 2018 |
5 | Bashir, R.M.S., Shahzad, M., Fraz, M.M. (2018). DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification. In: , et al. Advances in Visual Computing. ISVC 2018. Lecture Notes in Computer Science, vol 11241. Springer, Cham. https://doi.org/10.1007/978-3-030-03801-4_26 | 2018 |
4 | AlBadawi, S., Fraz, M.M. (2018). Arterioles and Venules Classification in Retinal Images Using Fully Convolutional Deep Neural Network. In: Campilho, A., Karray, F., ter Haar Romeny, B. (eds) Image Analysis and Recognition. ICIAR 2018. Lecture Notes in Computer Science, vol 10882. Springer, Cham. https://doi.org/10.1007/978-3-319-93000-8_75 | 2018 |
3 | Khurram, I., Fraz, M.M., Shahzad, M. (2018). Detailed Sentence Generation Architecture for Image Semantics Description. In: , et al. Advances in Visual Computing. ISVC 2018. Lecture Notes in Computer Science(), vol 11241. Springer, Cham. https://doi.org/10.1007/978-3-030-03801-4_37 | 2018 |
2 | M.M. Fraz, S.A. Barman, "Computer vision algorithms applied to retinal vessel segmentation and quantification of vessel calibre", in Image Analysis and Modelling in Ophthalmology by CRC Press Tayler and Francis, ISBN 978-1-4665-5938, Feb, 2014. | 2014 |
1 | M.M. Fraz, S.A. Barman, "Image Analysis and Modelling in Ophthalmology / Ensemble classification applied to retinal blood vessel segmentation: Theory and Implementation", in Image Analysis and Modelling in Ophthalmology by CRC Press Tayler and Francis, ISBN 978-1-4665-5938, Feb, 2014. | 2014 |
# | Title | Inventors | Accepted |
---|---|---|---|
1 | Wheat Mapping from Satellite Time Series Leveraging Superpixel-Based Active Learning for Data Sparse Regions Across Multiple Years | Muhammad Moazam Fraz, Vaneeza Mehmood | IPO Pakistan in April 2024 |
2 | A Self Supervised Deep Learning Model for Survival Analysis of Tumorigenesis Patients using Whole Slide Image | Muhammad Moazam Fraz, Arshi Perviaz | IPO Pakistan in April 2024 |
3 | Improving Image Super Resolution Using Squeeze-and-Residual-Excitation With Holistic Attention in Deep Neural Networks | Muhammad Moazam Fraz, Bostan Khan, Muhammad Shahzad | IPO Pakistan in Feb 2024 |
4 | Informative Attention Based Person Re-Identification for Automated Surveillance | Muhammad Moazam Fraz, Muhammad Shahzad | IPO Pakistan in Feb 2024 |
5 | An Attention Based Distance Regression CNN for Nuclei Instance Segmentation and Type Classification in Digitized Histology Images | Muhammad Moazam Fraz, Muhammad Shahzad, Ghulam Murtaza Dogar | IPO Pakistan in Feb 2024 |
6 | Orientation Aware Weapons Detection in Visual Data | Muhammad Moazam Fraz, Muhammad Shahzad, Nazeef Ul Haq, Tufail Sajjad Shah | IPO Pakistan in Feb 2024 |
7 | ActiPhe: A deep active learning framework for phenotypes labelling in unstructured EHR | Muhammad Moazam Fraz, Saad Ahmad Khan | IPO Pakistan in Dec 2023 |
8 | Knowledge-Aware Visual Question Answering Framework for developing visual learning apps for children | Muhammad Moazam Fraz, Ahmed Jamshed | IPO Pakistan in Sep 2023 |
9 | Live News Channels Stream Analytics Framework | Muhammad Moazam Fraz, Muhammad Ehsan Ul Haq, Muhammad Shahzad | IPO Pakistan in Sep 2023 |
10 | Disease Specific Knowledge Graphs for Unstructured EMRs and Radiology Reports | Muhammad Moazam Fraz, Farina Tariq, Saad Ahmad Khan | IPO Pakistan in Sep 2023 |
11 | Static analysis based progressive framework for deep unsupervised malware classification of Windows portable executable | Muhammad Moazam Fraz, Syed Khurran Jah Rizvi | IPO Pakistan in 2021 |
Machine Vision and Intelligent Systems Lab | NUST-SEECS | © 2024