AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. an italian multicentre study P Soda, NC D’Amico, J Tessadori, G Valbusa, V Guarrasi, C Bortolotto, ... Medical image analysis 74, 102216, 2021 | 84 | 2021 |
News classification based on their headlines: A review MI Rana, S Khalid, MU Akbar 17th IEEE International Multi Topic Conference 2014, 211-216, 2014 | 55 | 2014 |
Induced magnetic field analysis for the peristaltic transport of non-Newtonian nanofluid in an annulus H Sadaf, MU Akbar, S Nadeem Mathematics and Computers in Simulation 148, 16-36, 2018 | 51 | 2018 |
Beware of Diffusion Models for Synthesizing Medical Images-a Comparison with Gans in Terms of Memorizing Brain MRI and Chest X-Ray Images MU Akbar, W Wang, A Eklund Available at SSRN 4611613, 2023 | 12 | 2023 |
Automated laser mark segmentation from colored retinal images AM Syed, MU Akbar, MU Akram, J Fatima 17th IEEE International Multi Topic Conference 2014, 282-286, 2014 | 12 | 2014 |
Brain tumor segmentation using synthetic MR images-A comparison of GANs and diffusion models M Usman Akbar, M Larsson, I Blystad, A Eklund Scientific Data 11 (1), 259, 2024 | 10 | 2024 |
Addressing signal alterations induced in CT images by deep learning processing: A preliminary phantom study S Doria, F Valeri, L Lasagni, V Sanguineti, R Ragonesi, MU Akbar, ... Physica Medica 83, 88-100, 2021 | 7 | 2021 |
Robust Detection of Exudates Using Fundus Images AM Syed, MU Akbar, A Ahmed, J Fatima, U Akram 2018 IEEE 21st International Multi-Topic Conference (INMIC), 1-5, 2018 | 5 | 2018 |
A review on automatic tuberculosis screening using chest radiographs K Hina, S Khalid, MU Akbar 2016 Sixth International Conference on Innovative Computing Technology …, 2016 | 5 | 2016 |
Efficient brain age prediction from 3D MRI volumes using 2D projections J Jönemo, MU Akbar, R Kämpe, JP Hamilton, A Eklund Brain Sciences 13 (9), 1329, 2023 | 3 | 2023 |
Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images? M Larsson, MU Akbar, A Eklund arXiv preprint arXiv:2211.04086, 2022 | 3 | 2022 |
Geodesic Clustering of Positive Definite Matrices For Classification of Mental Disorder Using Brain Functional Connectivity MA Yamin, J Tessadori, MU Akbar, M Dayan, V Murino, D Sona 2020 International Joint Conference on Neural Networks (IJCNN), 1-5, 2020 | 3 | 2020 |
Multimodal Segmentation of Medical Images with Heavily Missing Data MU Akbar, V Murino, D Sona 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 2 | 2021 |
Multiple Organs Segmentation in Abdomen CT Scans Using a Cascade of CNNs MU Akbar, S Aslani, V Murino, D Sona ICIAP 2019: Image Analysis and Processing – ICIAP 2019 11751, 509-516, 2019 | 2 | 2019 |
Permeability conditions for the physiological viscous nanofluid: endoscopic analysis for uniform and non-uniform tubes H Sadaf, MU Akbar, S Nadeem Journal of the Brazilian Society of Mechanical Sciences and Engineering 39 …, 2017 | 2 | 2017 |
Synthetic brain tumor images from GANs and diffusion models MU Akbar, A Eklund AIDA datahub https://doi. org/10.23698/aida/synthetic/brgandi, 2023 | 1 | 2023 |
An Overview of OCT Techniques for Detection of Ophthalmic Syndromes AM Syed, MU Akbar, J Fatima Applications of Intelligent Technologies in Healthcare, 109-116, 2019 | 1 | 2019 |
Automated Techniques for Detection and Classification of Diabetic Macular Edema: A Review. AM Syed, M Faizan, MU Akbar, J Fatima Asian Journal of Engineering, Sciences & Technology, 2016 | 1 | 2016 |
lGeneralized super-resolution 4D Flow MRI-using ensemble learning to extend across the cardiovascular system L Ericsson, A Hjalmarsson, MU Akbar, E Ferdian, M Bonini, B Hardy, ... Arxiv, 2023 | | 2023 |
Generalized super-resolution 4D Flow MRI--using ensemble learning to extend across the cardiovascular system L Ericsson, A Hjalmarsson, MU Akbar, E Ferdian, M Bonini, B Hardy, ... arXiv preprint arXiv:2311.11819, 2023 | | 2023 |