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Muhammad Usman Akbar
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2020 – today
- 2023
- [i6]Muhammad Usman Akbar, Wuhao Wang, Anders Eklund:
Beware of diffusion models for synthesizing medical images - A comparison with GANs in terms of memorizing brain tumor images. CoRR abs/2305.07644 (2023) - [i5]Muhammad Usman Akbar, Måns Larsson, Anders Eklund:
Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models. CoRR abs/2306.02986 (2023) - [i4]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:
Generalized super-resolution 4D Flow MRI - using ensemble learning to extend across the cardiovascular system. CoRR abs/2311.11819 (2023) - 2022
- [b1]Muhammad Usman Akbar:
Deep Learning Approaches Targeting Radiological Images. University of Genoa, Italy, 2022 - [i3]Måns Larsson, Muhammad Usman Akbar, Anders Eklund:
Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images? CoRR abs/2211.04086 (2022) - [i2]Johan Jönemo, Muhammad Usman Akbar, Robin Kämpe, J. Paul Hamilton, Anders Eklund:
Efficient brain age prediction from 3D MRI volumes using 2D projections. CoRR abs/2211.05762 (2022) - 2021
- [j2]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:
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. Medical Image Anal. 74: 102216 (2021) - [c4]Muhammad Usman Akbar, Vittorio Murino, Diego Sona
:
Multimodal Segmentation of Medical Images with Heavily Missing Data. BHI 2021: 1-4 - 2020
- [c3]Muhammad Usman Akbar, Muhammad Abubakar Yamin, Vittorio Murino, Diego Sona
:
Organ Segmentation with Recursive Data Augmentation for Deep Models. ICPR Workshops (1) 2020: 337-343 - [c2]Muhammad Abubakar Yamin, Jacopo Tessadori, Muhammad Usman Akbar, Michael Dayan, Vittorio Murino, Diego Sona
:
Geodesic Clustering of Positive Definite Matrices For Classification of Mental Disorder Using Brain Functional Connectivity. IJCNN 2020: 1-5 - [i1]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:
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. CoRR abs/2012.06531 (2020)
2010 – 2019
- 2019
- [c1]Muhammad Usman Akbar, Shahab Aslani, Vittorio Murino, Diego Sona
:
Multiple Organs Segmentation in Abdomen CT Scans Using a Cascade of CNNs. ICIAP (1) 2019: 509-516 - 2018
- [j1]Sadaf Hina, Muhammad Usman Akbar, S. Nadeem
:
Induced magnetic field analysis for the peristaltic transport of non-Newtonian nanofluid in an annulus. Math. Comput. Simul. 148: 16-36 (2018)
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