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 |