Yingda Xia

is this you? claim profile

0 followers
Johns Hopkins University

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. ∙ 3 ∙ share

read it
Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...
03/18/2020 ∙ by Yingda Xia, et al. ∙ 0 ∙ share

read it
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. ∙ 6 ∙ share

read it
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation

Automatic segmentation of abdomen organs using medical imaging has many ...
10/15/2019 ∙ by Jinzheng Cai, et al. ∙ 0 ∙ share

read it
Thickened 2D Networks for 3D Medical Image Segmentation

There has been a debate in medical image segmentation on whether to use ...
04/02/2019 ∙ by Qihang Yu, et al. ∙ 2 ∙ share

read it
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. ∙ 0 ∙ share

read it
Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning

Learning visual features from unlabeled image data is an important yet c...
12/02/2018 ∙ by Chen Wei, et al. ∙ 0 ∙ share

read it
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. ∙ 0 ∙ share

read it
Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma

This paper proposes an intuitive approach to finding pancreatic ductal a...
07/09/2018 ∙ by Zhuotun Zhu, et al. ∙ 2 ∙ share

read it
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. ∙ 0 ∙ share

read it
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. ∙ 0 ∙ share

read it
A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation

In this paper, we adopt 3D CNNs to segment the pancreas in CT images. Al...
12/01/2017 ∙ by Zhuotun Zhu, et al. ∙ 0 ∙ share

read it

Yingda Xia

Featured Co-authors

Qi Tian

Alan Yuille

Yi Zhang

Lingxi Xie

Alan L. Yuille

Lin Yang

Jiaying Liu

Wei Shen

Daguang Xu

Lequan Yu

Dong Yang

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble

Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation

End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation

Thickened 2D Networks for 3D Medical Image Segmentation

An Alarm System For Segmentation Algorithm Based On Shape Model

Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training

Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma

Joint Shape Representation and Classification for Detecting PDAC

Bridging the Gap Between 2D and 3D Organ Segmentation

A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation