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07/08/2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment
The interpretation of medical images is a challenging task, often compli...
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03/18/2020
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images
With the injection of contrast material into blood vessels, multi-phase ...
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03/08/2020
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks
Detecting malignant pulmonary nodules at an early stage can allow medica...
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06/30/2019
Conditional Segmentation in Lieu of Image Registration
Classical pairwise image registration methods search for a spatial trans...
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06/18/2019
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment
The interpretation of chest radiographs is an essential task for the det...
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05/15/2019
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels
Chest X-ray (CXR) is the most common X-ray examination performed in dail...
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12/28/2018
Class-Aware Adversarial Lung Nodule Synthesis in CT Images
Though large-scale datasets are essential for training deep learning sys...
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12/04/2018
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition
The performance of medical image analysis systems is constrained by the ...
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07/09/2018
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration
One of the fundamental challenges in supervised learning for multimodal ...
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05/27/2018
Adversarial Deformation Regularization for Training Image Registration Neural Networks
We describe an adversarial learning approach to constrain convolutional ...
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11/05/2017
Label-driven weakly-supervised learning for multimodal deformable image registration
Spatially aligning medical images from different modalities remains a ch...
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09/11/2017
NiftyNet: a deep-learning platform for medical imaging
Medical image analysis and computer-assisted intervention problems are i...
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09/05/2017
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks
In this paper, we describe how a patient-specific, ultrasound-probe-indu...
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07/17/2017