GlastonburyGroup/UKBBLatent_Cardiac_20208_DiffAE3D_L128_S1701 Image Feature Extraction • Updated Nov 6, 2024 • 5
GlastonburyGroup/UKBBLatent_Cardiac_20208_DiffAE3D_L128_S1993 Image Feature Extraction • Updated Nov 6, 2024 • 3
GlastonburyGroup/UKBBLatent_Cardiac_20208_DiffAE3D_L128_S42 Image Feature Extraction • Updated Nov 6, 2024 • 5
GlastonburyGroup/UKBBLatent_Cardiac_20208_DiffAE3D_L128_S2023 Image Feature Extraction • Updated Nov 6, 2024 • 3
GlastonburyGroup/UKBBLatent_Cardiac_20208_DiffAE3D_L128_S1994 Image Feature Extraction • Updated Nov 6, 2024 • 4
Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet Paper • 2310.01073 • Published Oct 2, 2023
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Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification Paper • 2206.05148 • Published Jun 10, 2022
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation Paper • 2312.15686 • Published Dec 25, 2023
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision Paper • 2308.16139 • Published Aug 30, 2023
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction Paper • 2112.13443 • Published Dec 26, 2021
Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images Paper • 2206.06725 • Published Jun 14, 2022
Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique Paper • 2302.04585 • Published Feb 9, 2023
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN Paper • 2302.04584 • Published Feb 9, 2023
Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm Perfusion Imaging Paper • 2207.10167 • Published Jul 20, 2022
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI Paper • 2202.05355 • Published Feb 10, 2022
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge Paper • 2102.02711 • Published Feb 4, 2021
ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning Paper • 2102.12898 • Published Feb 25, 2021
Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation Paper • 2011.10654 • Published Nov 20, 2020