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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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05/19/2022
CORPS: Cost-free Rigorous Pseudo-labeling based on Similarity-ranking for Brain MRI Segmentation
Segmentation of brain magnetic resonance images (MRI) is crucial for the...
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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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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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12/27/2019
ODE-based Deep Network for MRI Reconstruction
Fast data acquisition in Magnetic Resonance Imaging (MRI) is vastly in d...
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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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08/30/2019
Deep Plug-and-Play Prior for Parallel MRI Reconstruction
Fast data acquisition in Magnetic Resonance Imaging (MRI) is vastly in d...
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03/12/2019
Suite of Meshless Algorithms for Accurate Computation of Soft Tissue Deformation for Surgical Simulation
The ability to predict patient-specific soft tissue deformations is key ...
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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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08/06/2018
Non-Learning based Deep Parallel MRI Reconstruction (NLDpMRI)
Fast data acquisition in Magnetic Resonance Imaging (MRI) is vastly in d...
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04/05/2018
Missing Slice Recovery for Tensors Using a Low-rank Model in Embedded Space
Let us consider a case where all of the elements in some continuous slic...
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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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12/19/2017
Automatic Renal Segmentation in DCE-MRI using Convolutional Neural Networks
Kidney function evaluation using dynamic contrast-enhanced MRI (DCE-MRI)...
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10/25/2017
