Segui
Muhammad Asad
Muhammad Asad
Research Fellow, King's College London
Email verificata su kcl.ac.uk - Home page
Titolo
Citata da
Citata da
Anno
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
1052020
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
1032018
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
692018
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
542017
Monai label: A framework for ai-assisted interactive labeling of 3d medical images
A Diaz-Pinto, S Alle, V Nath, Y Tang, A Ihsani, M Asad, F Pérez-García, ...
arXiv preprint arXiv:2203.12362, 2022
502022
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
252013
DeepEdit: deep editable learning for interactive segmentation of 3D medical images
A Diaz-Pinto, P Mehta, S Alle, M Asad, R Brown, V Nath, A Ihsani, ...
MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, 11-21, 2022
162022
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
132017
Smartphone based guidance system for visually impaired person
M Asad, W Ikram
2012 3rd International Conference on Image Processing Theory, Tools and …, 2012
122012
ECONet: Efficient convolutional online likelihood network for scribble-based interactive segmentation
M Asad, L Fidon, T Vercauteren
International Conference on Medical Imaging with Deep Learning, 35-47, 2022
112022
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
Hand orientation regression using random forest for augmented reality
M Asad, G Slabaugh
Augmented and Virtual Reality: First International Conference, AVR 2014 …, 2014
102014
Boundary distance loss for intra-/extra-meatal segmentation of vestibular schwannoma
N Wijethilake, A Kujawa, R Dorent, M Asad, A Oviedova, T Vercauteren, ...
International Workshop on Machine Learning in Clinical Neuroimaging, 73-82, 2022
72022
Learning to deblur adaptive optics retinal images
A Lazareva, M Asad, G Slabaugh
Image Analysis and Recognition: 14th International Conference, ICIAR 2017 …, 2017
72017
Hough forest-based corner detection for cervical spine radiographs
SM Al-Arif, M Asad, K Knapp, M Gundry, GG Slabaugh
72015
Fastgeodis: Fast generalised geodesic distance transform
M Asad, R Dorent, T Vercauteren
arXiv preprint arXiv:2208.00001, 2022
52022
Learning marginalization through regression for hand orientation inference
M Asad, G Slabaugh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
52016
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging
P Li, M Asad, C Horgan, O MacCormac, J Shapey, T Vercauteren
International journal of computer assisted radiology and surgery 18 (6), 981-988, 2023
42023
Spore: Staged probabilistic regression for hand orientation inference
M Asad, G Slabaugh
Computer Vision and Image Understanding 161, 114-129, 2017
42017
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, 449-461, 2017
42017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20