Muhammad Asad

Orcid: 0000-0002-3672-2414

Affiliations:
  • King's College London, UK
  • Imagination Technologies, Kings Langley, UK (former)
  • City University of London, UK (PhD 2017)
  • University of Sheffield, UK (former)


According to our database1, Muhammad Asad authored at least 28 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Crop and Couple: cardiac image segmentation using interlinked specialist networks.
CoRR, 2024

2023
DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces.
CoRR, 2023

Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging.
Int. J. Comput. Assist. Radiol. Surg., 2023

Misclassification Loss for Segmentation of the Aortic Vessel Tree.
Proceedings of the Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition, 2023

Adaptive Multi-scale Online Likelihood Network for AI-Assisted Interactive Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
FastGeodis: Fast Generalised Geodesic Distance Transform.
J. Open Source Softw., November, 2022

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images.
CoRR, 2022

ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

2020
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018
Fusion of fMRI and non-imaging data for ADHD classification.
Comput. Medical Imaging Graph., 2018

XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

Deep fMRI: AN end-to-end deep network for classification of fMRI data.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Efficient hand orientation and pose estimation for uncalibrated cameras.
PhD thesis, 2017

Patch-based corner detection for cervical vertebrae in X-ray images.
Signal Process. Image Commun., 2017

SPORE: Staged Probabilistic Regression for Hand Orientation Inference.
Comput. Vis. Image Underst., 2017

FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017

Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Learning to Deblur Adaptive Optics Retinal Images.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

2016
Supervised partial volume effect unmixing for brain tumor characterization using multi-voxel MR spectroscopic imaging.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Learning Marginalization through Regression for Hand Orientation Inference.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Hough Forest-based Corner Detection for Cervical Spine Radiographs.
Proceedings of the Medical Image Understanding and Analysis, 2015

Cervical vertebral corner detection using haar-like features and modified hough forest.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Generatinga 3D hand model from frontal color and range scans.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Hand Orientation Regression Using Random Forest for Augmented Reality.
Proceedings of the Augmented and Virtual Reality - First International Conference, 2014

2013
Kinect depth stream pre-processing for hand gesture recognition.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Smartphone based guidance system for visually impaired person.
Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012


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