| Comparison of deep transfer learning techniques in human skin burns discrimination A Abubakar, M Ajuji, I Usman Yahya Applied System Innovation 3 (2), 20, 2020 | 38 | 2020 |
| Assessment of human skin burns: a deep transfer learning approach A Abubakar, H Ugail, AM Bukar Journal of Medical and Biological Engineering 40, 321-333, 2020 | 33 | 2020 |
| Burns depth assessment using deep learning features A Abubakar, H Ugail, KM Smith, AM Bukar, A Elmahmudi Journal of Medical and Biological Engineering 40, 923-933, 2020 | 29 | 2020 |
| DeepFMD: computational analysis for malaria detection in blood-smear images using deep-learning features A Abubakar, M Ajuji, IU Yahya Applied System Innovation 4 (4), 82, 2021 | 27 | 2021 |
| Can machine learning be used to discriminate between burns and pressure ulcer? A Abubakar, H Ugail, AM Bukar Intelligent Systems and Applications: Proceedings of the 2019 Intelligent …, 2020 | 26 | 2020 |
| Discrimination of human skin burns using machine learning A Abubakar, H Ugail Intelligent Computing: Proceedings of the 2019 Computing Conference, Volume …, 2019 | 24 | 2019 |
| Noninvasive assessment and classification of human skin burns using images of Caucasian and African patients A Abubakar, H Ugail, AM Bukar Journal of Electronic Imaging 29 (4), 041002-041002, 2020 | 20 | 2020 |
| An investigation into peer-to-peer network security using wireshark A Musa, A Abubakar, UA Gimba, RA Rasheed 2019 15th International Conference on Electronics, Computer and Computation …, 2019 | 12 | 2019 |
| Transfer learning based histopathologic image classification for burns recognition A Abubakar, H Ugail, AM Bukar, AA Aminu, A Musa 2019 15th International Conference on Electronics, Computer and Computation …, 2019 | 8 | 2019 |
| Comparative analysis of classification algorithms using cnn transferable features: A case study using burn datasets from black africans A Abubakar Applied System Innovation 3 (4), 43, 2020 | 7 | 2020 |
| Discrimination of healthy skin, superficial epidermal burns, and full-thickness burns from 2D-colored images using machine learning A Abubakar, H Ugail, AM Bukar, KM Smith Data Science, 201-223, 2019 | 6 | 2019 |
| The use of pre-trained deep learning models for the photographic assessment of donor livers for transplantation H Ugail, A Abubakar, A Elmahmudi, C Wilson, B Thomson Artificial Intelligence Surgery 2 (2), 101-119, 2022 | 5 | 2022 |
| Evaluation of accessibility of randomly selected websites M Ajuji, A Abubakar, YA Adam, DU Emmanuel ATBU Journal of Science, Technology and Education 9 (3), 50-57, 2021 | 4 | 2021 |
| Deep Learning Assisted Kidney Organ Image Analysis for Assessing the Viability of Transplantation A Elmhamudi, A Abubakar, H Ugail, B Thomson, C Wilson, M Turner, ... 2022 14th International Conference on Software, Knowledge, Information …, 2022 | 1 | 2022 |
| Can machine learning be used to extract relevant burn injury information automatically from 2D photographs? K Smith, A Abubakar, S Jivan, D Tobin, A Mahajan, H Ugail, K Poterlowicz BRITISH JOURNAL OF DERMATOLOGY 180 (6), E205-E205, 2019 | 1 | 2019 |
| Decoding Deception: Understanding Human Discrimination Ability in Differentiating Authentic Faces from Deepfake Deceits SK Jilani, Z Geradts, A Abubakar International Conference on Image Analysis and Processing, 470-481, 2023 | | 2023 |
| Diagnostic Accuracy of Deep Learning in Medical Image Analysis-A Case Study Using Deep Burns A Abubakar, M Ajuji, AM Turaki | | 2023 |
| Automatic Burns Analysis Using Machine Learning A Abubakar University of Bradford, 2022 | | 2022 |
| Experimental analysis of time complexity and solution quality of swarm intelligence algorithm M Ajuji, A Abubakar, UE Datti Preprints, 2020 | | 2020 |
| Lightweight Secondary User Authentication Protocol in Cognitive Radio Networks (CRN) A Abubakar International Journal of Computer Science and Technology (IJCST) 10 (4), 27-30, 2019 | | 2019 |
Hassan UgailProfessor of Visual Computing, University of Bradford, UKVerified email at bradford.ac.uk
