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08/22/2023
Characterizing normal perinatal development of the human brain structural connectivity
Early brain development is characterized by the formation of a highly or...
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07/07/2023
TBSS++: A novel computational method for Tract-Based Spatial Statistics
Diffusion-weighted magnetic resonance imaging (dMRI) is widely used to a...
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07/05/2023
Direct segmentation of brain white matter tracts in diffusion MRI
The brain white matter consists of a set of tracts that connect distinct...
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04/28/2023
3D Brainformer: 3D Fusion Transformer for Brain Tumor Segmentation
Magnetic resonance imaging (MRI) is critically important for brain mappi...
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05/05/2022
Atlas-powered deep learning (ADL) – application to diffusion weighted MRI
Deep learning has a great potential for estimating biomarkers in diffusi...
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05/02/2022
Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI
Fetal brain segmentation is an important first step for slice-level moti...
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03/25/2022
Learning to segment fetal brain tissue from noisy annotations
Automatic fetal brain tissue segmentation can enhance the quantitative a...
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01/14/2022
Diffusion Tensor Estimation with Transformer Neural Networks
Diffusion tensor imaging (DTI) is the most widely used tool for studying...
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11/21/2021
Calibrated Diffusion Tensor Estimation
It is highly desirable to know how uncertain a model's predictions are, ...
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02/26/2021
Convolution-Free Medical Image Segmentation using Transformers
Like other applications in computer vision, medical image segmentation h...
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06/19/2020
A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging
Multi-compartment modeling of diffusion-weighted magnetic resonance imag...
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05/30/2020
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks
Transfer learning is widely used for training machine learning models. H...
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04/27/2020
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI
Fetal cortical plate segmentation is essential in quantitative analysis ...
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04/12/2020
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are powerful medical image segmenta...
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12/05/2019
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis
Supervised training of deep learning models requires large labeled datas...
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09/25/2019
Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging
Fetal magnetic resonance imaging (MRI) is challenged by uncontrollable, ...
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09/21/2018
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets for IsoIntense Infant Brain MRI Segmentation
The most recent fast and accurate image segmentation methods are built u...
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03/28/2018
Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks
Fully convolutional deep neural networks have been asserted to be fast a...
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03/15/2018
Real-time Deep Registration With Geodesic Loss
With an aim to increase the capture range and accelerate the performance...
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10/25/2017
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning
Brain segmentation is a fundamental first step in neuroimage analysis. I...
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06/18/2017
Tversky loss function for image segmentation using 3D fully convolutional deep networks
Fully convolutional deep neural networks carry out excellent potential f...
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03/06/2017
