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Muhammad Asad
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DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images


May 18, 2023
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, Sebastien Ourselin, M. Jorge Cardoso

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Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation


Mar 23, 2023
Muhammad Asad, Helena Williams, Indrajeet Mandal, Sarim Ather, Jan Deprest, Jan D'hooge, Tom Vercauteren

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Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: Application to surgical imaging


Feb 21, 2023
Peichao Li, Muhammad Asad, Conor Horgan, Oscar MacCormac, Jonathan Shapey, Tom Vercauteren

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Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma


Aug 09, 2022
Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey

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* Accepted for the MICCAI MLCN workshop 2022 
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FastGeodis: Fast Generalised Geodesic Distance Transform


Jul 26, 2022
Muhammad Asad, Reuben Dorent, Tom Vercauteren

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* Under-review at Journal of Open Source Software (JOSS) 
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MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images


Mar 23, 2022
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, Sebastien Ourselin, Andrew Feng, M. Jorge Cardoso

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ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation


Feb 08, 2022
Muhammad Asad, Lucas Fidon, Tom Vercauteren

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* Under review at MIDL 2022 
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Federated Learning Versus Classical Machine Learning: A Convergence Comparison


Jul 22, 2021
Muhammad Asad, Ahmed Moustafa, Takayuki Ito

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Evaluating the Communication Efficiency in Federated Learning Algorithms


Apr 06, 2020
Muhammad Asad, Ahmed Moustafa, Takayuki Ito, Muhammad Aslam

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