research
∙
02/09/2023
Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique
Perfusion imaging is a valuable tool for diagnosing and treatment planni...
share
research
∙
02/09/2023
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN
Neural networks, especially convolutional neural networks (CNN), are one...
research
∙
07/20/2022
Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm Perfusion Imaging
Model-based reconstruction employing the time separation technique (TST)...
research
∙
06/14/2022
Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images
Motion artefacts in magnetic resonance brain images are a crucial issue....
research
∙
05/11/2022
Primal-Dual UNet for Sparse View Cone Beam Computed Tomography Volume Reconstruction
In this paper, the Primal-Dual UNet for sparse view CT reconstruction is...
research
∙
02/10/2022
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI
Magnetic resonance imaging (MRI) provides high spatial resolution and ex...
research
∙
01/31/2022
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder
Expert interpretation of anatomical images of the human brain is the cen...
research
∙
12/26/2021
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction
CT and MRI are two widely used clinical imaging modalities for non-invas...
research
∙
10/16/2021
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models
Clinicians are often very sceptical about applying automatic image proce...
research
∙
06/25/2021
Manually Annotated Spelling Error Corpus for Amharic
This paper presents a manually annotated spelling error corpus for Amhar...
research
∙
06/14/2021
Contemporary Amharic Corpus: Automatically Morpho-Syntactically Tagged Amharic Corpus
We introduced the contemporary Amharic corpus, which is automatically ta...
research
∙
05/28/2021
Classification of Brain Tumours in MR Images using Deep Spatiospatial Models
A brain tumour is a mass or cluster of abnormal cells in the brain, whic...
research
∙
04/08/2021
Extended Parallel Corpus for Amharic-English Machine Translation
This paper describes the acquisition, preprocessing, segmentation, and a...
research
∙
03/16/2021
ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data
MRI is an inherently slow process, which leads to long scan time for hig...
research
∙
02/25/2021
ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning
Diffusion-weighted magnetic resonance imaging (DW-MRI) can be used to ch...
research
∙
02/04/2021
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
Dynamic imaging is a beneficial tool for interventions to assess physiol...
research
∙
11/28/2020
Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning
In MRI, motion artefacts are among the most common types of artefacts. T...
research
∙
11/20/2020
Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation
Segmentation of biomedical images can assist radiologists to make a bett...
research
∙
06/03/2020
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
The outbreak of COVID-19 has shocked the entire world with its fairly ra...
research
∙
01/17/2020