Muhammad Usman Akbar

According to our database, Muhammad Usman Akbar authored at least 12 papers between 2018 and 2023.

Collaborative distances:

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

2023

Generalized super-resolution 4D Flow MRI - using ensemble learning to extend across the cardiovascular system.

Leon Ericsson, Adam Hjalmarsson, Muhammad Usman Akbar, Edward Ferdian, Mia Bonini, Brandon Hardy, Jonas Schollenberger, Maria Aristova, Patrick Winter, Nicholas S. Burris, Alexander Fyrdahl, Andreas Sigfridsson, Susanne Schnell, C. Alberto Figueroa, David Nordsletten, Alistair A. Young, David Marlevi

CoRR, 2023

Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models.

Muhammad Usman Akbar, Måns Larsson, Anders Eklund

CoRR, 2023

Beware of diffusion models for synthesizing medical images - A comparison with GANs in terms of memorizing brain tumor images.

Muhammad Usman Akbar, Wuhao Wang, Anders Eklund

CoRR, 2023

2022

Deep Learning Approaches Targeting Radiological Images.

Muhammad Usman Akbar

PhD thesis, 2022

Efficient brain age prediction from 3D MRI volumes using 2D projections.

Johan Jönemo, Muhammad Usman Akbar, Robin Kämpe, J. Paul Hamilton, Anders Eklund

CoRR, 2022

Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images?

Måns Larsson, Muhammad Usman Akbar, Anders Eklund

CoRR, 2022

2021

AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study.

Paolo Soda, Natascha Claudia D'Amico, Jacopo Tessadori, Giovanni Valbusa, Valerio Guarrasi, Chandra Bortolotto, Muhammad Usman Akbar, Rosa Sicilia, Ermanno Cordelli, Deborah Fazzini, Michaela Cellina, Giancarlo Oliva, Giovanni Callea, Silvia Panella, Maurizio Cariati, Diletta Cozzi, Vittorio Miele, Elvira Stellato, Gianpaolo Carrafiello, Giulia Castorani, Annalisa Simeone, Lorenzo Preda, Giulio Iannello, Alessio Del Bue, Fabio Tedoldi, Marco Alì, Diego Sona, Sergio Papa

Medical Image Anal., 2021

Multimodal Segmentation of Medical Images with Heavily Missing Data.

Muhammad Usman Akbar, Vittorio Murino, Diego Sona

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020

Geodesic Clustering of Positive Definite Matrices For Classification of Mental Disorder Using Brain Functional Connectivity.

Muhammad Abubakar Yamin, Jacopo Tessadori, Muhammad Usman Akbar, Michael Dayan, Vittorio Murino, Diego Sona

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Organ Segmentation with Recursive Data Augmentation for Deep Models.

Muhammad Usman Akbar, Muhammad Abubakar Yamin, Vittorio Murino, Diego Sona

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Multiple Organs Segmentation in Abdomen CT Scans Using a Cascade of CNNs.

Muhammad Usman Akbar, Shahab Aslani, Vittorio Murino, Diego Sona

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

2018

Induced magnetic field analysis for the peristaltic transport of non-Newtonian nanofluid in an annulus.

Sadaf Hina, Muhammad Usman Akbar, S. Nadeem

Math. Comput. Simul., 2018