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08/23/2023
HNAS-reg: hierarchical neural architecture search for deformable medical image registration
Convolutional neural networks (CNNs) have been widely used to build deep...
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03/06/2023
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images
To achieve fast, robust, and accurate reconstruction of the human cortic...
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01/27/2023
Deep Clustering Survival Machines with Interpretable Expert Distributions
Conventional survival analysis methods are typically ineffective to char...
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07/06/2022
Learning Apparent Diffusion Coefficient Maps from Undersampled Radial k-Space Diffusion-Weighted MRI in Mice using a Deep CNN-Transformer Model in Conjunction with a Monoexpone
Purpose: To accelerate radially sampled diffusion weighted spin-echo (Ra...
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09/08/2021
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning
Neuroimaging biomarkers that distinguish between typical brain aging and...
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12/11/2020
Unsupervised deep learning for individualized brain functional network identification
A novel unsupervised deep learning method is developed to identify indiv...
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11/03/2020
Meta-Learning for Natural Language Understanding under Continual Learning Framework
Neural network has been recognized with its accomplishments on tackling ...
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10/11/2020
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging
Conventional and deep learning-based methods have shown great potential ...
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10/04/2020
MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision
We present a diffeomorphic image registration algorithm to learn spatial...
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06/02/2020
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging
Deep learning in k-space has demonstrated great potential for image reco...
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02/13/2020
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation
Segmentation of brain structures from magnetic resonance (MR) scans play...
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10/23/2019
Context-endcoding for neural network based skull stripping in magnetic resonance imaging
Skull stripping is usually the first step for most brain analysisprocess...
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05/07/2019
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation
Automatic segmentation of fine-grained brain structures remains a challe...
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04/15/2019
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI
Introduction: It is challenging at baseline to predict when and which in...
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04/06/2019
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection
Pulmonary nodule detection plays an important role in lung cancer screen...
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01/05/2019
Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network
It remains challenging to automatically segment kidneys in clinical ultr...
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01/05/2019
Early Prediction of Alzheimer's Disease Dementia Based on Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks
Multi-modal biological, imaging, and neuropsychological markers have dem...
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01/05/2019
Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer
Recent radiomic studies have witnessed promising performance of deep lea...
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11/12/2018
Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images
It remains challenging to automatically segment kidneys in clinical ultr...
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09/14/2018
Brain decoding from functional MRI using long short-term memory recurrent neural networks
Decoding brain functional states underlying different cognitive processe...
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09/14/2018
Identification of temporal transition of functional states using recurrent neural networks from functional MRI
Dynamic functional connectivity analysis provides valuable information f...
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09/14/2018
Identification of multi-scale hierarchical brain functional networks using deep matrix factorization
We present a deep semi-nonnegative matrix factorization method for ident...
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01/11/2018
Brain Age Prediction Based on Resting-State Functional Connectivity Patterns Using Convolutional Neural Networks
Brain age prediction based on neuroimaging data could help characterize ...
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01/11/2018
Non-Rigid Image Registration Using Self-Supervised Fully Convolutional Networks without Training Data
A novel non-rigid image registration algorithm is built upon fully convo...
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12/31/2017
Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on Ultrasound imaging data
Classification of ultrasound (US) kidney images for diagnosis of congeni...
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12/31/2017
Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation
A novel multi-atlas based image segmentation method is proposed by integ...
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09/05/2017
Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data
Increasing effort in brain image analysis has been dedicated to early di...
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06/11/2017
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images
Purpose: To improve kidney segmentation in clinical ultrasound (US) imag...
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04/02/2015
