Канал: Soumick

Exploiting the inter-rater disagreement to improve probabilistic segmentation

Exploiting the inter-rater disagreement to improve probabilistic segmentation

Complex-Valued Fourier Primal-Dual: Undersampled MRI Reconstruction in Hybrid-space

Complex-Valued Fourier Primal-Dual: Undersampled MRI Reconstruction in Hybrid-space

Enhancing Vessel Continuity in DL based Segmentation using Maximum Intensity Projection as Loss

Enhancing Vessel Continuity in DL based Segmentation using Maximum Intensity Projection as Loss

SMILE-UHURA Teaser

SMILE-UHURA Teaser

Building Trust in AI!

Building Trust in AI!

Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial data

Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial data

Incorporating temporal information using DDoS-UNet for enhancing super-resolution of dynamic MRI

Incorporating temporal information using DDoS-UNet for enhancing super-resolution of dynamic MRI

Reference-less SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MRIs

Reference-less SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MRIs

Learning to segment brain tumours using an explainable classifier

Learning to segment brain tumours using an explainable classifier

StRegA: Unsupervised Anomaly Detection in Brain MRIs using Compact ceVAE

StRegA: Unsupervised Anomaly Detection in Brain MRIs using Compact ceVAE

Multi-scale UNet with Self-Constructing Graph Latent for Deformable Image Registration

Multi-scale UNet with Self-Constructing Graph Latent for Deformable Image Registration

Uncertainty quantification for ground-truth free evaluation of deep learning reconstructions

Uncertainty quantification for ground-truth free evaluation of deep learning reconstructions

Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction

Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction

ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning

ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning

A Comparative Study of Deep Learning Based Deformable Image Registration Techniques

A Comparative Study of Deep Learning Based Deformable Image Registration Techniques

Interpretability Techniques for Deep Learning based Segmentation Models

Interpretability Techniques for Deep Learning based Segmentation Models

Undersampled MRI reconstruction directly in the k-space using a complex valued ResNet

Undersampled MRI reconstruction directly in the k-space using a complex valued ResNet

Utilizzo della conoscenza a priori per la risonanza magnetica interventistica

Utilizzo della conoscenza a priori per la risonanza magnetica interventistica

Use of prior knowledge for interventional MRI

Use of prior knowledge for interventional MRI

Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning

Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning

Wavelet filtering of undersampled MRI using trainable wavelets and CNN

Wavelet filtering of undersampled MRI using trainable wavelets and CNN

Unsupervised learning for Abdominal MRI Segmentation using 3D Attention W-Net

Unsupervised learning for Abdominal MRI Segmentation using 3D Attention W-Net