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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...
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07/17/2023
Neural Modulation Fields for Conditional Cone Beam Neural Tomography
Conventional Computed Tomography (CT) methods require large numbers of n...
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02/09/2023
Constrained Empirical Risk Minimization: Theory and Practice
Deep Neural Networks (DNNs) are widely used for their ability to effecti...
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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...
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01/20/2023
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction
Purpose: The MRI k-space acquisition is time consuming. Traditional tech...
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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...
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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...
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10/28/2021
Subpixel object segmentation using wavelets and multi resolution analysis
We propose a novel deep learning framework for fast prediction of bounda...
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08/17/2021
