| Assessing visual attributes of handwriting for prediction of neurological disorders—A case study on Parkinson’s disease M Moetesum, I Siddiqi, N Vincent, F Cloppet Pattern Recognition Letters 121, 19-27, 2019 | 129 | 2019 |
| Sequence-based dynamic handwriting analysis for Parkinson’s disease detection with one-dimensional convolutions and BiGRUs M Diaz, M Moetesum, I Siddiqi, G Vessio Expert Systems with Applications 168, 114405, 2021 | 101 | 2021 |
| Gender classification from offline handwriting images using textural features A Mirza, M Moetesum, I Siddiqi, C Djeddi 2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016 | 49 | 2016 |
| Deep learning based approach for historical manuscript dating A Hamid, M Bibi, M Moetesum, I Siddiqi 2019 International conference on document analysis and recognition (ICDAR …, 2019 | 34 | 2019 |
| Document forgery detection using printer source identification—a text-independent approach M Bibi, A Hamid, M Moetesum, I Siddiqi 2019 International Conference on Document Analysis and Recognition Workshops …, 2019 | 29 | 2019 |
| Automated scoring of bender gestalt test using image analysis techniques M Moetesum, I Siddiqi, U Masroor, C Djeddi 2015 13th International Conference on Document Analysis and Recognition …, 2015 | 28 | 2015 |
| Segmentation and recognition of electronic components in hand-drawn circuit diagrams M Moetesum, SW Younus, MA Warsi, I Siddiqi EAI Endorsed Transactions on Scalable Information Systems 5 (16), e12-e12, 2018 | 25 | 2018 |
| An adaptive and efficient buffer management scheme for resource-constrained delay tolerant networks M Moetesum, F Hadi, M Imran, AA Minhas, AV Vasilakos Wireless networks 22, 2189-2201, 2016 | 23 | 2016 |
| A survey of visual and procedural handwriting analysis for neuropsychological assessment M Moetesum, M Diaz, U Masroor, I Siddiqi, G Vessio Neural Computing and Applications 34 (12), 9561-9578, 2022 | 22 | 2022 |
| Historical manuscript dating using textural measures A Hamid, M Bibi, I Siddiqi, M Moetesum 2018 International conference on frontiers of information technology (FIT …, 2018 | 21 | 2018 |
| Classification of graphomotor impressions using convolutional neural networks: an application to automated neuro-psychological screening tests HB Nazar, M Moetesum, S Ehsan, I Siddiqi, K Khurshid, N Vincent, ... 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 21 | 2017 |
| Data driven feature extraction for gender classification using multi-script handwritten texts M Moetesum, I Siddiqi, C Djeddi, Y Hannad, S Al-Maadeed 2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018 | 19 | 2018 |
| Deformation modeling and classification using deep convolutional neural networks for computerized analysis of neuropsychological drawings M Moetesum, I Siddiqi, S Ehsan, N Vincent Neural Computing and Applications 32, 12909-12933, 2020 | 18 | 2020 |
| Dynamic handwriting analysis for Parkinson's disease identification using C-BiGRU model M Moetesum, I Siddiqi, F Javed, U Masroor 2020 17th International Conference on Frontiers in Handwriting Recognition …, 2020 | 14 | 2020 |
| Socially believable robots M Moetesum, I Siddiqi Human-Robot Interaction: Theory and Application 1, 2018 | 11 | 2018 |
| Sketch-based facial expression recognition for human figure drawing psychological test M Moetesum, T Aslam, H Saeed, I Siddiqi, U Masroor 2017 International conference on frontiers of information technology (FIT …, 2017 | 11 | 2017 |
| Segmentation and classification of offline hand drawn images for the bgt neuropsychological screening test M Moetesum, I Siddiqi, U Masroor, N Vincent, F Cloppet Eighth International Conference on Digital Image Processing (ICDIP 2016 …, 2016 | 10 | 2016 |
| Marine object detection using transformers K Ali, M Moetesum, I Siddiqi, N Mahmood 2022 19th International Bhurban Conference on Applied Sciences and …, 2022 | 8 | 2022 |
| Writer characterization from handwriting on papyri using multi-step feature learning S Nasir, I Siddiqi, M Moetesum Document Analysis and Recognition–ICDAR 2021 Workshops: Lausanne …, 2021 | 8 | 2021 |
| Document forgery detection using source printer identification: A comparative study of text‐dependent versus text‐independent analysis M Bibi, A Hamid, M Moetesum, I Siddiqi Expert Systems 39 (8), e13020, 2022 | 6 | 2022 |
