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06/17/2022
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging
Although deep learning prediction models have been successful in the dis...
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03/04/2022
Characterizing Renal Structures with 3D Block Aggregate Transformers
Efficiently quantifying renal structures can provide distinct spatial co...
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06/09/2020
Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT
Purpose: To present a method that automatically segments and quantifies ...
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05/05/2020
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19
The Coronavirus Disease (COVID-19) has affected 1.8 million people and r...
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04/02/2020
Quantification of Tomographic Patterns associated with COVID-19 from Chest CT
Purpose: To present a method that automatically detects and quantifies a...
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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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03/28/2019
3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles
Detailed whole brain segmentation is an essential quantitative technique...
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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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11/09/2018
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks
The findings of splenomegaly, abnormal enlargement of the spleen, is a n...
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10/15/2018
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
A key limitation of deep convolutional neural networks (DCNN) based imag...
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06/01/2018
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data
Whole brain segmentation on a structural magnetic resonance imaging (MRI...
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05/25/2018
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images
An abdominal ultrasound examination, which is the most common ultrasound...
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04/14/2018
Select, Attend, and Transfer: Light, Learnable Skip Connections
Skip connections in deep networks have improved both segmentation and cl...
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12/20/2017
Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth
A lack of generalizability is one key limitation of deep learning based ...
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12/02/2017
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks
Spleen volume estimation using automated image segmentation technique ma...
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05/17/2017
