Muhammad Asad
Muhammad Asad
Research Fellow, King's College London
Verified email at kcl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Fusion of fMRI and non-imaging data for ADHD classification
A Riaz, M Asad, E Alonso, G Slabaugh
Computerized Medical Imaging and Graphics 65, 115-128, 2018
532018
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
322018
DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI
A Riaz, M Asad, E Alonso, G Slabaugh
Journal of neuroscience methods 335, 108506, 2020
252020
KINECT DEPTH STREAM PRE-PROCESSING FOR HAND GESTURE RECOGNITION
M Asad, C Abhayaratne
Image Processing (ICIP), 2013 20th IEEE International Conference on, 3735-3739, 2013
242013
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
International Workshop on Connectomics in Neuroimaging, 70-78, 2017
232017
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
102015
Smartphone based guidance system for visually impaired person
M Asad, W Ikram
2012 3rd International Conference on Image Processing Theory, Tools and …, 2012
92012
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
82017
Hand orientation regression using random forest for augmented reality
M Asad, G Slabaugh
International Conference on Augmented and Virtual Reality, 159-174, 2014
82014
Hough forest-based corner detection for cervical spine radiographs
SM Al-Arif, M Asad, K Knapp, M Gundry, GG Slabaugh
72015
Spore: Staged probabilistic regression for hand orientation inference
M Asad, G Slabaugh
Computer Vision and Image Understanding 161, 114-129, 2017
42017
Learning to deblur adaptive optics retinal images
A Lazareva, M Asad, G Slabaugh
International Conference Image Analysis and Recognition, 497-506, 2017
42017
Learning marginalization through regression for hand orientation inference
M Asad, G Slabaugh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
42016
Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients
N Olliverre, M Asad, G Yang, F Howe, G Slabaugh
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 101341R, 2017
32017
Supervised partial volume effect unmixing for brain tumor characterization using multi-voxel MR spectroscopic imaging
M Asad, G Yang, G Slabaugh
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 436-439, 2016
32016
Generatinga 3D hand model from frontal color and range scans
M Asad, E Gentet, RR Basaru, G Slabaugh
Image Processing (ICIP), 2015 IEEE International Conference on, 4589-4593, 2015
32015
XmoNet: A fully convolutional network for cross-modality MR image inference
S Bano, M Asad, AE Fetit, I Rekik
International Workshop on PRedictive Intelligence In MEdicine, 129-137, 2018
22018
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks
M Asad, R Basaru, SMMR Al Arif, G Slabaugh
25th International Conference on Pattern Recognition, 2020
2020
Efficient hand orientation and pose estimation for uncalibrated cameras
M Asad
City, University of London, 2017
2017
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Articles 1–19