Publications

"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

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023

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

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

International Journal of Computer Assisted Radiology and Surgery 2023

"FastGeodis: Fast Generalised Geodesic Distance Transform"

Muhammad Asad, Reuben Dorrent, Tom Vercauteren

Journal of Open Source Software (JOSS) 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, others

MICCAI Workshop on Data Augmentation, Labelling, and Imperfections (DALI) 2022

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

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

MICCAI International Workshop on Machine Learning in Clinical Neuroimaging (MLCN) 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 Perez-Garcia, Pritesh Mehta, Wenqi Li, Holger R Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sebastien Ourselin, Andrew Feng, M. Jorge Cardoso

Under review at Medical Image Analysis (MEDIA)

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

Muhammad Asad, Lucas Fidon, Tom Vercauteren

Medical Imaging with Deep Learning (MIDL) 2022

"PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks"

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

International Conference on Pattern Recognition (ICPR) 2020

Best Industry Related Paper Award Winner

"DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI"

Atif Riaz, Muhammad Asad, Eduardo Alonso, Greg Slabaugh

Journal of Neuroscience Methods (NSM) 2020

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

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

MICCAI International Workshop on PRedictive Intelligence In MEdicine (PRIME) 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 Slabaugh

International Symposium on Biomedical Imaging (ISBI) 2018

"Efficient Hand Orientation and Pose Estimation For Uncalibrated Cameras"

Muhammad Asad

Thesis for Doctor of Philosophy (PhD)

"SPORE: Staged Probabilistic Regression for Hand Orientation Inference"

Muhammad Asad, Greg Slabaugh

Computer Vision and Image Understanding (CVIU) 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 and Greg Slabaugh

MICCAI 1st International Workshop on Connectomics in NeuroImaging (CNI) 2017

"Fusion of fMRI and Non-Imaging Data for ADHD Classification"

Atif Riaz, Muhammad Asad, Eduardo Alonso, Philip Corr and Greg Slabaugh

Computerized Medical Imaging and Graphics (Elsevier Journal) 2017

"Patch-based Corner Detection for Cervical Vertebrae in X-ray Images"

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

Signal Processing: Image Communication (Elsevier Journal) 2017

"Learning to Deblur Adaptive Optics Retinal Images"

Anfisa Lazareva, Muhammad Asad, Greg Slabaugh

International Conference on Image Analysis and Recognition (ICIAR) 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 Howe, Greg Slabaugh

SPIE Medical Imaging 2017

"Learning Marginalization through Regression for Hand Orientation Inference"

Muhammad Asad, Greg Slabaugh

Computer Vision and Pattern Recognition (CVPR) Second Workshop on Observing and Understanding Hands in Action (HANDS) 2016

Best Paper Award Winner

"Supervised Partial Volume Effect Unmixing for Brain Tumor Characterization using Multi-voxel MR Spectroscopic Imaging"

Muhammad Asad, Guang Yang, Greg Slabaugh

International Symposium on Biomedical Imaging (ISBI) 2016

"Cervical Vertebral Corner Detection using Haar-like Features and Modified Hough Forest"

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

International Conference on Image Processing Theory, Tools and Applications (IPTA) 2015

"Hough Forest-based Corner Detection for Cervical Spine Radiographs"

S M Masudur Rahman Al-Arif, Muhammad Asad, Karen Knapp, Michael Gundry, Andy Appelboam, Adam Reuben, Greg Slabaugh

Medical Image Understanding and Analysis (MIUA) 2015

"Generating a 3D Hand Model from Frontal Color and Range Scans"

Muhammad Asad, Enguerrand Gentet, Rilwan Remilekun Basaru, Greg Slabaugh

International Conference on Image Processing (ICIP) 2015

"Hand Orientation Regression using Random Forest for Augmented Reality"

Muhammad Asad, Greg Slabaugh

First International Conference on Augmented and Virtual Reality (AVR) 2014

"Kinect Depth Stream Pre-processing for Hand Gesture Recognition"

Muhammad Asad, Charith Abhayaratne

International Conference on Image Processing (ICIP) 2013

"Smartphone based Guidance System for Visually Impaired Person"

Muhammad Asad, Waseem Ikram

International Conference on Image Processing Theory, Tools and Applications (IPTA) 2012