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ORCIDMuhammad Asad 0001
Person information
- affiliation: King's College London, UK
- affiliation (former): Imagination Technologies, Kings Langley, UK
- affiliation (PhD 2017): City University of London, UK
- affiliation (former): University of Sheffield, UK
Other persons with the same name
- Muhammad Asad — disambiguation page
- Muhammad Asad 0002
![[0000-0003-0036-1714]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0036-1714")
— University of Tokyo, Department of Creative Informatics, Japan (and 2 more) - Muhammad Asad 0003 — National University of Sciences and Technology, School of Electrical Engineering and Computer Science, Islamabad, Pakistan (and 2 more)
- Muhammad Asad 0004 — International Islamic University, Islamabad, Pakistan
- Muhammad Asad 0005 — FAST National University of Computer and Emerging Sciences, Department of Computer Science, Karachi, Pakistan
- Muhammad Asad 0006 — National University of Computer and Emerging Sciences, Department of Computer Sciences, Islamabad, Pakistan
- Muhammad Asad 0007 — Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan
- Muhammad Asad 0008 — Air University, Pakistan
- Muhammad Asad 0009 — Information Technology University of the Punjab, Lahore, Pakistan
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Books and Theses
- 2017
[b1]Muhammad Asad:
Efficient hand orientation and pose estimation for uncalibrated cameras. City University London, UK, 2017
Journal Articles
- 2024
- [j6]Andres Diaz-Pinto, Sachidanand Alle, Vishwesh Nath, Yucheng Tang, Alvin Ihsani, Muhammad Asad, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Mona Flores, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso:
MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. Medical Image Anal. 95: 103207 (2024) - 2023
- [j5]Peichao Li, Muhammad Asad, Conor C. Horgan, Oscar MacCormac, Jonathan Shapey, Tom Vercauteren:
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging. Int. J. Comput. Assist. Radiol. Surg. 18(6): 981-988 (2023) - 2022
- [j4]Muhammad Asad, Reuben Dorent, Tom Vercauteren:
FastGeodis: Fast Generalised Geodesic Distance Transform. J. Open Source Softw. 7(79): 4532 (2022) - 2018
- [j3]Atif Riaz, Muhammad Asad, Eduardo Alonso, Gregory G. Slabaugh:
Fusion of fMRI and non-imaging data for ADHD classification. Comput. Medical Imaging Graph. 65: 115-128 (2018) - 2017
- [j2]Muhammad Asad, Gregory G. Slabaugh:
SPORE: Staged Probabilistic Regression for Hand Orientation Inference. Comput. Vis. Image Underst. 161: 114-129 (2017) - [j1]S. M. Masudur Rahman Al-Arif, Muhammad Asad, Michael Gundry, Karen Knapp, Gregory G. Slabaugh:
Patch-based corner detection for cervical vertebrae in X-ray images. Signal Process. Image Commun. 59: 27-36 (2017)
Conference and Workshop Papers
- 2024
- [c20]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh:
Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks. ISBI 2024: 1-5 - 2023
- [c19]Abbas Khan, Muhammad Asad, Alexander M. Zolotarev, Caroline H. Roney, Anthony Mathur, Martin Benning, Gregory G. Slabaugh:
Misclassification Loss for Segmentation of the Aortic Vessel Tree. SEG.A@MICCAI 2023: 67-79 - [c18]Muhammad Asad, Helena Williams, Indrajeet Mandal, Sarim Ather, Jan Deprest, Jan D'hooge, Tom Vercauteren:
Adaptive Multi-scale Online Likelihood Network for AI-Assisted Interactive Segmentation. MICCAI (2) 2023: 564-574 - 2022
- [c17]Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso:
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. DALI@MICCAI 2022: 11-21 - [c16]Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey:
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. MLCN@MICCAI 2022: 73-82 - [c15]Muhammad Asad, Lucas Fidon, Tom Vercauteren:
ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation. MIDL 2022: 35-47 - 2020
- [c14]Muhammad Asad, Rilwan Remilekun Basaru, S. M. Masudur Rahman Al-Arif, Greg G. Slabaugh:
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks. ICPR 2020: 481-488 - 2018
- [c13]Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh:
Deep fMRI: AN end-to-end deep network for classification of fMRI data. ISBI 2018: 1419-1422 - [c12]Sophia Bano, Muhammad Asad, Ahmed E. Fetit, Islem Rekik:
XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference. PRIME@MICCAI 2018: 129-137 - 2017
- [c11]Anfisa Lazareva, Muhammad Asad, Gregory G. Slabaugh:
Learning to Deblur Adaptive Optics Retinal Images. ICIAR 2017: 497-506 - [c10]Nathan Olliverre, Muhammad Asad, Guang Yang, Franklyn A. Howe, Gregory G. Slabaugh:
Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients. Computer-Aided Diagnosis 2017: 101341R - [c9]Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh:
FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI. CNI@MICCAI 2017: 70-78 - 2016
- [c8]Muhammad Asad, Greg G. Slabaugh:
Learning Marginalization through Regression for Hand Orientation Inference. CVPR Workshops 2016: 1215-1223 - [c7]Muhammad Asad, Guang Yang, Gregory G. Slabaugh:
Supervised partial volume effect unmixing for brain tumor characterization using multi-voxel MR spectroscopic imaging. ISBI 2016: 436-439 - 2015
- [c6]Muhammad Asad, Enguerrand Gentet, Rilwan Remilekun Basaru, Gregory G. Slabaugh:
Generatinga 3D hand model from frontal color and range scans. ICIP 2015: 4589-4593 - [c5]S. M. Masudur Rahman Al-Arif, Muhammad Asad, Karen Knapp, Michael Gundry, Greg G. Slabaugh:
Cervical vertebral corner detection using haar-like features and modified hough forest. IPTA 2015: 417-422 - [c4]S. M. Masudur Rahman Al-Arif, Muhammad Asad, Karen Knapp, Michael Gundry, Gregory G. Slabaugh:
Hough Forest-based Corner Detection for Cervical Spine Radiographs. MIUA 2015: 183-188 - 2014
- [c3]Muhammad Asad, Greg G. Slabaugh:
Hand Orientation Regression Using Random Forest for Augmented Reality. AVR 2014: 159-174 - 2013
- [c2]Muhammad Asad, Charith Abhayaratne:
Kinect depth stream pre-processing for hand gesture recognition. ICIP 2013: 3735-3739 - 2012
- [c1]Muhammad Asad, Waseem Ikram:
Smartphone based guidance system for visually impaired person. IPTA 2012: 442-447
Informal and Other Publications
- 2024
- [i14]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh:
Crop and Couple: cardiac image segmentation using interlinked specialist networks. CoRR abs/2402.09156 (2024) - [i13]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh:
Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors. CoRR abs/2404.16708 (2024) - [i12]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh:
Convolution and Attention-Free Mamba-based Cardiac Image Segmentation. CoRR abs/2406.05786 (2024) - [i11]Qifan Fu, Xiaohang Yang, Muhammad Asad, Changjae Oh, Shanxin Yuan, Gregory G. Slabaugh:
Adaptive Multi-Modal Control of Digital Human Hand Synthesis Using a Region-Aware Cycle Loss. CoRR abs/2409.09149 (2024) - [i10]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh:
Compositional Segmentation of Cardiac Images Leveraging Metadata. CoRR abs/2410.23130 (2024) - 2023
- [i9]Peichao Li, Muhammad Asad, Conor C. Horgan, Oscar MacCormac, Jonathan Shapey, Tom Vercauteren:
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: Application to surgical imaging. CoRR abs/2302.10927 (2023) - [i8]Muhammad Asad, Helena Williams, Indrajeet Mandal, Sarim Ather, Jan Deprest, Jan D'hooge, Tom Vercauteren:
Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation. CoRR abs/2303.13696 (2023) - [i7]Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso:
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. CoRR abs/2305.10655 (2023) - [i6]Helena Williams, João Pedrosa, Muhammad Asad, Laura Cattani, Tom Vercauteren, Jan Deprest, Jan D'hooge:
DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces. CoRR abs/2309.02335 (2023) - 2022
- [i5]Muhammad Asad, Lucas Fidon, Tom Vercauteren:
ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation. CoRR abs/2201.04584 (2022) - [i4]Andres Diaz-Pinto, Sachidanand Alle, Alvin Ihsani, Muhammad Asad, Vishwesh Nath, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso:
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. CoRR abs/2203.12362 (2022) - [i3]Muhammad Asad, Reuben Dorent, Tom Vercauteren:
FastGeodis: Fast Generalised Geodesic Distance Transform. CoRR abs/2208.00001 (2022) - [i2]Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey:
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. CoRR abs/2208.04680 (2022) - 2018
- [i1]Muhammad Asad, Rilwan Remilekun Basaru, S. M. Masudur Rahman Al-Arif, Greg G. Slabaugh:
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks. CoRR abs/1807.10937 (2018)
Coauthor Index
aka: Greg G. Slabaugh
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