| Modern Trends in Hyperspectral Image Analysis: A Review MJ Khan, HS Khan, A Yousaf, K Khurshid, A Abbas IEEE Access 6 (1), 14118-14119, 2018 | 689 | 2018 |
| Comparison of Niblack inspired Binarization Methods for Ancient Documents K Khurshid, I Siddiqi, C Faure, N Vincent Document Recognition and Retrieval XVI 7247, 72470U, 2009 | 329 | 2009 |
| Breast Cancer Detection in Mammograms using Convolutional Neural Network S Charan, MJ Khan, K Khurshid IEEE International Conference on Mathematics and Engineering Technologies …, 2018 | 176 | 2018 |
| Role of Deep Learning in Brain Tumor Detection and Classification (2015 to 2020): A Review M Nazir, S Shakil, K Khurshid Computerized Medical Imaging and Graphics 101940, 2021 | 164 | 2021 |
| Hyperspectral Document Image Processing: Applications, Challenges and Future Prospects R Qureshi, M Uzair, K Khurshid, H Yan Pattern Recognition 90 (1), 12-22, 2019 | 118 | 2019 |
| Deep Face Recognition for Biometric Authentication M Zulfiqar, F Syed, MJ Khan, K Khurshid IEEE International Conference on Electrical, Communication and Computer …, 2019 | 101 | 2019 |
| Automatic Target Detection in Satellite Images using Deep Learning MJ Khan, A Yousaf, N Javed, S Nadeem, K Khurshid Journal of Space Technology 7 (1), 2017 | 83 | 2017 |
| Comparative Analysis of SVM, ANN and CNN for Classifying Vegetation Specie using Hyperspectral Thermal Infrared Data M Hassan, S Ullah, MJ Khan, K Khurshid HyperMLA in ISPRS GeoSpatial Week (GSW'19), 2019 | 77 | 2019 |
| Automated Forgery Detection in Multispectral Document Images using Fuzzy Clustering MJ Khan, A Yousaf, K Khurshid, F Shafait, A Abbas 13th IAPR International Conference on Document Analysis Systems (DAS), 2018 | 75 | 2018 |
| Deep Learning for Automated Forgery Detection in Hyperspectral Document Images MJ Khan, A Yousaf, A Abbas, K Khurshid Journal of Electronic Imaging 27 (5), 053001, 2018 | 74 | 2018 |
| Classification of Breast Cancer Histology Images using Transfer Learning HM Ahmad, S Ghaffar, K Khurshid 16th IEEE International Bhurban Conference on Applied Sciences and …, 2019 | 73 | 2019 |
| Erratum to: A comprehensive survey of handwritten document benchmarks: structure, usage and evaluation MR Hussain, A Raza, I Siddiqi, K Khurshid, C Djeddi EURASIP Journal on Image and Video Processing, 2016 | 63* | 2016 |
| A comprehensive survey of handwritten document benchmarks: Structure, usage and evaluation R Hussain, A Raza, I Siddiqi, K Khurshid, C Djeddi EURASIP Journal on Image and Video Processing 2015 (46), 1-24, 2015 | 63 | 2015 |
| Word spotting in historical printed documents using shape and sequence comparisons K Khurshid, C Faure, N Vincent Pattern Recognition 45 (7), 2598-2609, 2012 | 62 | 2012 |
| Improved Dark Channel Prior for Image Defogging using RGB and YCbCr Color Space Z Tufail, K Khurshid, A Salman, IF Nizami, K Khurshid, B Jeon IEEE Access, 32576-32587, 2018 | 58 | 2018 |
| A Spatio-Spectral Hybrid Convolutional Architecture for Hyperspectral Document Authentication MJ Khan, K Khurshid, F Shafait 15th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2019 | 53 | 2019 |
| Towards Automated Ink Mismatch Detection in Hyperspectral Document Images A Abbas, K Khurshid, F Shafait 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017 | 50 | 2017 |
| Towards searchable digital Urdu libraries-a word spotting based retrieval approach A Abidi, I Siddiqi, K Khurshid 11th International Conference on Document Analysis and Recognition, ICDAR'11 …, 2011 | 35 | 2011 |
| Automated Sorting and Grading of Agricultural Products based on Image Processing HMT Abbas, U Shakoor, MJ Khan, M Ahmed, K Khurshid International Conference on Information & Communication Technologies (ICICT), 2019 | 33 | 2019 |
| An automated and efficient convolutional architecture for disguise-invariant face recognition using noise-based data augmentation and deep transfer learning J Khan, MJ Khan, AM Siddiqui, K Khurshid Visual Computer, 1-15, 2021 | 32 | 2021 |
Jaleed KhanPostdoctoral Researcher in Artificial Intelligence at University of Oxford在 ox.ac.uk 的电子邮件经过验证
