Jan-Jakob Sonke | DeepAI

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∙ 09/18/2023

vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems

Medical Imaging (MI) tasks, such as accelerated Parallel Magnetic Resona...

0 George Yiasemis, et al. ∙

∙ 07/17/2023

Neural Modulation Fields for Conditional Cone Beam Neural Tomography

Conventional Computed Tomography (CT) methods require large numbers of n...

0 Samuele Papa, et al. ∙

∙ 02/09/2023

Constrained Empirical Risk Minimization: Theory and Practice

Deep Neural Networks (DNNs) are widely used for their ability to effecti...

0 Eric Marcus, et al. ∙

∙ 01/25/2023

Modelling Long Range Dependencies in N-D: From Task-Specific to a General Purpose CNN

Performant Convolutional Neural Network (CNN) architectures must be tail...

0 David M. Knigge, et al. ∙

∙ 01/20/2023

On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction

Purpose: The MRI k-space acquisition is time consuming. Traditional tech...

0 George Yiasemis, et al. ∙

∙ 04/22/2022

Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation

The key challenge for few-shot semantic segmentation (FSS) is how to tai...

9 Jie Liu, et al. ∙

∙ 11/18/2021

Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction

Magnetic Resonance Imaging can produce detailed images of the anatomy an...

19 George Yiasemis, et al. ∙

∙ 10/28/2021

Subpixel object segmentation using wavelets and multi resolution analysis

We propose a novel deep learning framework for fast prediction of bounda...

0 Ray Sheombarsing, et al. ∙

∙ 08/17/2021

Deep MRI Reconstruction with Radial Subsampling

In spite of its extensive adaptation in almost every medical diagnostic ...

14 George Yiasemis, et al. ∙

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