| Fully automatic cervical vertebrae segmentation framework for X-ray images SMMR Al Arif, K Knapp, G Slabaugh Computer methods and programs in biomedicine 157, 95-111, 2018 | 106 | 2018 |
| Deep learning for single-molecule science T Albrecht, G Slabaugh, E Alonso, SMMR Al-Arif Nanotechnology 28 (42), 423001, 2017 | 76 | 2017 |
| Deep fMRI: An end-to-end deep network for classification of fMRI data A Riaz, M Asad, SMMR Al Arif, E Alonso, D Dima, P Corr, G Slabaugh 2018 ieee 15th international symposium on biomedical imaging (isbi 2018 …, 2018 | 71 | 2018 |
| Shape-aware deep convolutional neural network for vertebrae segmentation SM Al Arif, K Knapp, G Slabaugh International Workshop on Computational Methods and Clinical Applications in …, 2018 | 57 | 2018 |
| Fcnet: a convolutional neural network for calculating functional connectivity from functional mri A Riaz, M Asad, SMMR Al-Arif, E Alonso, D Dima, P Corr, G Slabaugh Connectomics in NeuroImaging: First International Workshop, CNI 2017, Held …, 2017 | 57 | 2017 |
| Spnet: Shape prediction using a fully convolutional neural network SMMR Al Arif, K Knapp, G Slabaugh Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 33 | 2018 |
| Comparative study of different path planning algorithms: a water based rescue system S Al-Arif, A Ferdous, SH Nijami International Journal of Computer Applications 39, 2012 | 27 | 2012 |
| Improving an active shape model with random classification forest for segmentation of cervical vertebrae SMMR Al Arif, M Gundry, K Knapp, G Slabaugh Computational Methods and Clinical Applications for Spine Imaging: 4th …, 2016 | 21 | 2016 |
| Sensor based autonomous medical nanorobots: A cure to demyelination S Al-Arif, N Quader, AM Shaon, KK Islam J. Sel. Areas Nanotechnol 2, 1-7, 2011 | 20 | 2011 |
| Patch-based corner detection for cervical vertebrae in X-ray images SMMR Al Arif, M Asad, M Gundry, K Knapp, G Slabaugh Signal Processing: Image Communication 59, 27-36, 2017 | 13 | 2017 |
| Cervical vertebral corner detection using Haar-like features and modified Hough forest SMR Al Arif, M Asad, K Knapp, M Gundry, G Slabaugh 2015 International Conference on Image Processing Theory, Tools and …, 2015 | 10 | 2015 |
| Energy saving by automatic control of power in simple home appliances KM Kadir, MS Forhad, MM Fadlullah, N Quader, MMR Al-Arif, MA Dhali 2011 IEEE 3rd International Conference on Communication Software and …, 2011 | 10 | 2011 |
| Hough forest-based corner detection for cervical spine radiographs SM Al-Arif, M Asad, K Knapp, M Gundry, GG Slabaugh | 7 | 2015 |
| Control system for autonomous medical nanorobots SMMR Al-Arif 2012 International Conference on Biomedical Engineering (ICoBE), 161-164, 2012 | 6 | 2012 |
| Energy Saving by Limiting Standby Power Loss and Using Smart Power Control SMMR Al-Arif, KM Kadir, MA Morshed, AHMI Ferdous, MM Alam, ... 2011 International Conference on Information Management, Innovation …, 2011 | 6 | 2011 |
| Global localization and orientation of the cervical spine in x-ray images SMMR Al Arif, M Gundry, K Knapp, G Slabaugh International workshop on computational methods and clinical applications …, 2016 | 5 | 2016 |
| Control of autonomous nanorobots in neural network N Quader, SMMR Al-Arif, MAM Shaon, KK Islam, AR Ridwan 2011 4th International Conference on Biomedical Engineering and Informatics …, 2011 | 4 | 2011 |
| Region-aware deep localization framework for cervical vertebrae in X-ray images SMMR Al Arif, K Knapp, G Slabaugh Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 3 | 2017 |
| Probabilistic spatial regression using a deep fully convolutional neural network GG Slabaugh, K Knapp, SM Al-Arif BMVA Press, 2017 | 3 | 2017 |
| Fully automatic image analysis framework for cervical vertebra in X-ray images SMMR Al Arif City, University of London, 2018 | 2 | 2018 |
Greg SlabaughProfessor, and Director of DERI, Queen Mary University of London在 qmul.ac.uk 的电子邮件经过验证
Greg SlabaughProfessor, and Director of DERI, Queen Mary University of London在 qmul.ac.uk 的电子邮件经过验证
Muhammad AsadResearch Fellow, King's College London在 kcl.ac.uk 的电子邮件经过验证