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Muhammad Asad - Publications

Affiliations: 
City, University of London 
Area:
machine learning, deep learning, pose, regression
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5 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Riaz A, Asad M, Alonso E, Slabaugh G. DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI. Journal of Neuroscience Methods. 335: 108506. PMID 32001294 DOI: 10.1016/J.Jneumeth.2019.108506  0.516
2018 Riaz A, Asad M, Alonso E, Slabaugh G. Fusion of fMRI and non-imaging data for ADHD classification. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 65: 115-128. PMID 29137838 DOI: 10.1016/j.compmedimag.2017.10.002  0.373
2017 Olliverre N, Asad M, Yang G, Howe FA, Slabaugh GG. Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients Proceedings of Spie. 10134. DOI: 10.1117/12.2255026  0.518
2017 Arif SMMRA, Asad M, Gundry M, Knapp K, Slabaugh G. Patch-based corner detection for cervical vertebrae in X-ray images Signal Processing-Image Communication. 59: 27-36. DOI: 10.1016/J.Image.2017.04.002  0.352
2017 Asad M, Slabaugh GG. SPORE: Staged Probabilistic Regression for Hand Orientation Inference Computer Vision and Image Understanding. 161: 114-129. DOI: 10.1016/J.Cviu.2017.05.009  0.523
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