Induced magnetic field analysis for the peristaltic transport of non-Newtonian nanofluid in an annulus. - Sadaf Hina; Muhammad Usman Akbar; S. Nadeem 001 (Math. Comput. Simul., 2018)

Multiple Organs Segmentation in Abdomen CT Scans Using a Cascade of CNNs. - Muhammad Usman Akbar; Shahab Aslani; Vittorio Murino; Diego Sona (ICIAP (1), 2019)

Organ Segmentation with Recursive Data Augmentation for Deep Models. - Muhammad Usman Akbar; Muhammad Abubakar Yamin; Vittorio Murino; Diego Sona (ICPR Workshops (1), 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 (IJCNN, 2020)

Multimodal Segmentation of Medical Images with Heavily Missing Data. - Muhammad Usman Akbar; Vittorio Murino; Diego Sona (BHI, 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; et al. (Medical Image Anal., 2021)

Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images? - Måns Larsson; Muhammad Usman Akbar; Anders Eklund 002 (CoRR, 2022)

Efficient brain age prediction from 3D MRI volumes using 2D projections. - Johan Jönemo; Muhammad Usman Akbar; Robin Kämpe; J. Paul Hamilton; Anders Eklund 002 (CoRR, 2022)

Deep Learning Approaches Targeting Radiological Images. - Muhammad Usman Akbar (2022)

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 002 (CoRR, 2023)

Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models. - Muhammad Usman Akbar; Måns Larsson; Anders Eklund 002 (CoRR, 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; et al. (IEEE J. Biomed. Health Informatics, 2024)

Knowledge Distillation and Transformer-Based Framework for Automatic Spine CT Report Generation. - Humaira Batool; Asmat Mukhtar; Sajid Gul Khawaja; Norah Saleh Alghamdi; Asad Mansoor Khan; Adil Qayyum; Ruqqayia Adil; Zawar Khan; Muhammad Usman Akram; Muhammad Usman Akbar; Anders Eklund 002 (IEEE Access, 2025)

Beware of diffusion models for synthesizing medical images - a comparison with GANs in terms of memorizing brain MRI and chest x-ray images. - Muhammad Usman Akbar; Wuhao Wang; Anders Eklund 002 (Mach. Learn. Sci. Technol., 2025)