Cooperative spectrum sensing for cognitive radio networks in the presence of smart malicious users M Haghighat, SMS Sadough AEU-International Journal of Electronics and Communications 68 (6), 520-527, 2014 | 54 | 2014 |
Automated quality assessment of large digitised histology cohorts by artificial intelligence M Haghighat, L Browning, K Sirinukunwattana, S Malacrino, ... Scientific Reports 12 (1), 5002, 2022 | 44 | 2022 |
A pilot study on automatic three-dimensional quantification of Barrett’s esophagus for risk stratification and therapy monitoring S Ali, A Bailey, S Ash, M Haghighat, P Allan, T Ambrose, ... Gastroenterology 161 (3), 865-878. e8, 2021 | 32 | 2021 |
Artificial intelligence for advance requesting of immunohistochemistry in diagnostically uncertain prostate biopsies A Chatrian, RT Colling, L Browning, NK Alham, K Sirinukunwattana, ... Modern Pathology 34 (9), 1780-1794, 2021 | 23 | 2021 |
Cooperative spectrum sensing in cognitive radio networks under primary user emulation attacks M Haghighat, SMS Sadough 6th International Symposium on Telecommunications (IST), 148-151, 2012 | 23 | 2012 |
Smart primary user emulation in cognitive radio networks: defence strategies against radio‐aware attacks and robust spectrum sensing M Haghighat, SMS Sadough Transactions on Emerging Telecommunications Technologies 26 (9), 1154-1164, 2015 | 22 | 2015 |
Illumination estimation and compensation of low frame rate video sequences for wavelet-based video compression M Haghighat, R Mathew, A Naman, D Taubman IEEE Transactions on Image Processing 28 (9), 4313-4327, 2019 | 11 | 2019 |
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training S Mohamed, M Haghighat, T Fernando, S Sridharan, C Fookes, ... IEEE Transactions on Geoscience and Remote Sensing, 2023 | 8 | 2023 |
PathProfiler: automated quality assessment of retrospective histopathology whole-slide image cohorts by artificial intelligence–a case study for prostate cancer research M Haghighat, L Browning, K Sirinukunwattana, S Malacrino, NK Alham, ... medRxiv, 2021.09. 24.21263762, 2021 | 8 | 2021 |
Deep robust multi-robot re-localisation in natural environments M Ramezani, E Griffiths, M Haghighat, A Pitt, P Moghadam 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 6 | 2023 |
Lifting-based illumination adaptive transform (LIAT) using mesh-based illumination modelling M Haghighat, R Mathew, A Naman, D Taubman 2017 IEEE International Conference on Image Processing (ICIP), 3006-3010, 2017 | 6 | 2017 |
Robust resource allocation for OFDM-based cognitive radio in the presence of primary user emulation attack M Haghighat, H Fathi, SMS Sadough Radioengineering 21 (4), 1085-1091, 2012 | 6 | 2012 |
Pre-training with Random Orthogonal Projection Image Modeling M Haghighat, P Moghadam, S Mohamed, P Koniusz International Conference on Learning Representations (ICLR), 2024 | 5 | 2024 |
Artificial intelligence-driven real-time 3D surface quantification of barrett’s oesophagus for risk stratification and therapeutic response monitoring S Ali, A Bailey, JE East, SJ Leedham, M Haghighat, TGU Investigators, ... medRxiv, 2020.10. 04.20206482, 2020 | 5 | 2020 |
Rate-distortion driven decomposition of multiview imagery to diffuse and specular components M Haghighat, R Mathew, D Taubman IEEE Transactions on Image Processing 29, 5469-5480, 2020 | 5 | 2020 |
Artificial Intelligence-Based Quality Assessment of Histopathology Whole-Slide Images within a Clinical Workflow: Assessment of ‘PathProfiler’in a Diagnostic Pathology Setting L Browning, C Jesus, S Malacrino, Y Guan, K White, A Puddle, NK Alham, ... Diagnostics 14 (10), 990, 2024 | 4 | 2024 |
Rate-distortion optimized illumination estimation for wavelet-based video coding M Haghighat, R Mathew, A Naman, S Young, D Taubman 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 4 | 2018 |
Large-scale congestion analysis using compressed measurements M Haghighat, M Panda, HL Vu, H Van Lint 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 1 | 2016 |
Multimodal Fusion Learning with Dual Attention for Medical Imaging J Dhar, N Zaidi, M Haghighat, P Goyal, S Roy, A Alavi, V Kumar IEEE/CVF Winter Conference on Applications of Computer Vision WACV 2025, 2025 | | 2025 |
Online 6DoF Pose Estimation in Forests using Cross-View Factor Graph Optimisation and Deep Learned Re-localisation LC de Lima, E Griffiths, M Haghighat, S Denman, C Fookes, P Borges, ... arXiv preprint arXiv:2409.16680, 2024 | | 2024 |