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08/09/2023
Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors
Many segmentation networks have been proposed for 3D volumetric segmenta...
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08/09/2023
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction
Parallel imaging, a fast MRI technique, involves dynamic adjustments bas...
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08/08/2023
SDLFormer: A Sparse and Dense Locality-enhanced Transformer for Accelerated MR Image Reconstruction
Transformers have emerged as viable alternatives to convolutional neural...
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07/15/2023
Automated Knowledge Modeling for Cancer Clinical Practice Guidelines
Clinical Practice Guidelines (CPGs) for cancer diseases evolve rapidly d...
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07/13/2023
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks
Meta-learning has recently been an emerging data-efficient learning tech...
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04/13/2023
Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning
Magnetic Resonance (MR) images suffer from various types of artifacts du...
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11/28/2022
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI
Anomaly detection in MRI is of high clinical value in imaging and diagno...
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02/21/2022
MIST GAN: Modality Imputation Using Style Transfer for MRI
MRI entails a great amount of cost, time and effort for the generation o...
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02/10/2021
Reference-based Texture transfer for Single Image Super-resolution of Magnetic Resonance images
Magnetic Resonance Imaging (MRI) is a valuable clinical diagnostic modal...
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07/15/2020
Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks
One of the important parameters for the assessment of glaucoma is optic ...
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03/20/2020
Detection and skeletonization of single neurons and tracer injections using topological methods
Neuroscientific data analysis has traditionally relied on linear algebra...
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01/08/2020
DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction
Several variants of Convolutional Neural Networks (CNN) have been develo...
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01/08/2020
A context based deep learning approach for unbalanced medical image segmentation
Automated medical image segmentation is an important step in many medica...
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08/25/2019
Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction
Magnetic resonance imaging (MRI) is one of the best medical imaging moda...
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08/14/2019
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation
For the task of medical image segmentation, fully convolutional network ...
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03/29/2019
Deep Network for Capacitive ECG Denoising
Continuous monitoring of cardiac health under free living condition is c...
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02/12/2019
RespNet: A deep learning model for extraction of respiration from photoplethysmogram
Respiratory ailments afflict a wide range of people and manifests itself...
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02/11/2019
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation
Medical image segmentation is a primary task in many applications, and t...
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02/04/2019
Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation
Glaucoma is a serious ocular disorder for which the screening and diagno...
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01/25/2019
