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Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
Although having achieved great success in medical image segmentation, de...
06/28/2020 ∙ by Yingda Xia, et al. ∙
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JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans
Multi-modal image registration is a challenging problem yet important cl...
05/25/2020 ∙ by Fengze Liu, et al. ∙
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Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation
The ability to detect failures and anomalies are fundamental requirement...
03/18/2020 ∙ by Yingda Xia, et al. ∙
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Deep Distance Transform for Tubular Structure Segmentation in CT Scans
Tubular structure segmentation in medical images, e.g., segmenting vesse...
12/06/2019 ∙ by Yan Wang, et al. ∙
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FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans
Automatic abnormality detection in abdominal CT scans can help doctors i...
08/21/2019 ∙ by Fengze Liu, et al. ∙
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An Alarm System For Segmentation Algorithm Based On Shape Model
It is usually hard for a learning system to predict correctly on rare ev...
03/26/2019 ∙ by Fengze Liu, et al. ∙
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3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
We propose a novel framework, uncertainty-aware multi-view co-training (...
11/29/2018 ∙ by Yingda Xia, et al. ∙
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Joint Shape Representation and Classification for Detecting PDAC
We aim to detect pancreatic ductal adenocarcinoma (PDAC) in abdominal CT...
04/27/2018 ∙ by Fengze Liu, et al. ∙
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Bridging the Gap Between 2D and 3D Organ Segmentation
There has been a debate on whether to use 2D or 3D deep neural networks ...
04/02/2018 ∙ by Yingda Xia, et al. ∙
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