Muhammad Asad

According to our database, Muhammad Asad authored at least 33 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images.

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

Medical Image Anal., 2024

Compositional Segmentation of Cardiac Images Leveraging Metadata.

Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh

CoRR, 2024

Adaptive Multi-Modal Control of Digital Human Hand Synthesis Using a Region-Aware Cycle Loss.

Qifan Fu, Xiaohang Yang, Muhammad Asad, Changjae Oh, Shanxin Yuan, Gregory G. Slabaugh

CoRR, 2024

Convolution and Attention-Free Mamba-based Cardiac Image Segmentation.

Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh

CoRR, 2024

Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors.

Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh

CoRR, 2024

Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks.

Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

Helena Williams, João Pedrosa, Muhammad Asad, Laura Cattani, Tom Vercauteren, Jan Deprest, Jan D'hooge

CoRR, 2023

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

Peichao Li, Muhammad Asad, Conor C. Horgan, Oscar MacCormac, Jonathan Shapey, Tom Vercauteren

Int. J. Comput. Assist. Radiol. Surg., 2023

Misclassification Loss for Segmentation of the Aortic Vessel Tree.

Abbas Khan, Muhammad Asad, Alexander M. Zolotarev, Caroline H. Roney, Anthony Mathur, Martin Benning, Gregory G. Slabaugh

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.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

FastGeodis: Fast Generalised Geodesic Distance Transform.

Muhammad Asad, Reuben Dorent, Tom Vercauteren

J. Open Source Softw., November, 2022

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

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

CoRR, 2022

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

Muhammad Asad, Lucas Fidon, Tom Vercauteren

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

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

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

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

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

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

Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

2020

PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks.

Muhammad Asad, Rilwan Remilekun Basaru, S. M. Masudur Rahman Al-Arif, Greg G. Slabaugh

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018

Fusion of fMRI and non-imaging data for ADHD classification.

Atif Riaz, Muhammad Asad, Eduardo Alonso, Gregory G. Slabaugh

Comput. Medical Imaging Graph., 2018

XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference.

Sophia Bano, Muhammad Asad, Ahmed E. Fetit, Islem Rekik

Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

Deep fMRI: AN end-to-end deep network for classification of fMRI data.

Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Efficient hand orientation and pose estimation for uncalibrated cameras.

Muhammad Asad

PhD thesis, 2017

Patch-based corner detection for cervical vertebrae in X-ray images.

S. M. Masudur Rahman Al-Arif, Muhammad Asad, Michael Gundry, Karen Knapp, Gregory G. Slabaugh

Signal Process. Image Commun., 2017

SPORE: Staged Probabilistic Regression for Hand Orientation Inference.

Muhammad Asad, Gregory G. Slabaugh

Comput. Vis. Image Underst., 2017

FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI.

Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh

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.

Nathan Olliverre, Muhammad Asad, Guang Yang, Franklyn A. Howe, Gregory G. Slabaugh

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Learning to Deblur Adaptive Optics Retinal Images.

Anfisa Lazareva, Muhammad Asad, Gregory G. Slabaugh

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.

Muhammad Asad, Guang Yang, Gregory G. Slabaugh

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Learning Marginalization through Regression for Hand Orientation Inference.

Muhammad Asad, Greg G. Slabaugh

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Hough Forest-based Corner Detection for Cervical Spine Radiographs.

S. M. Masudur Rahman Al-Arif, Muhammad Asad, Karen Knapp, Michael Gundry, Gregory G. Slabaugh

Proceedings of the Medical Image Understanding and Analysis, 2015

Cervical vertebral corner detection using haar-like features and modified hough forest.

S. M. Masudur Rahman Al-Arif, Muhammad Asad, Karen Knapp, Michael Gundry, Greg G. Slabaugh

Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Generatinga 3D hand model from frontal color and range scans.

Muhammad Asad, Enguerrand Gentet, Rilwan Remilekun Basaru, Gregory G. Slabaugh

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Hand Orientation Regression Using Random Forest for Augmented Reality.

Muhammad Asad, Greg G. Slabaugh

Proceedings of the Augmented and Virtual Reality - First International Conference, 2014

2013

Kinect depth stream pre-processing for hand gesture recognition.

Muhammad Asad, Charith Abhayaratne

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Smartphone based guidance system for visually impaired person.

Muhammad Asad, Waseem Ikram

Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012