Yingda Xia | DeepAI

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Yi Zhang
258 publications
Li Zhang
240 publications
Qi Tian
238 publications
Alan Yuille
192 publications
Xin Chen
162 publications
Le Lu
114 publications
Yuan Gao
112 publications
Lingxi Xie
105 publications
Lin Yang
100 publications
Jingren Zhou
90 publications
Wei Shen
89 publications

∙ 08/01/2023

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer in whi...

0 Hexin Dong, et al. ∙

∙ 07/17/2023

Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network

Liver tumor segmentation and classification are important tasks in compu...

0 Ke Yan, et al. ∙

∙ 07/10/2023

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Gastric cancer is the third leading cause of cancer-related mortality wo...

0 Mingze Yuan, et al. ∙

∙ 04/01/2023

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization

Real-world medical image segmentation has tremendous long-tailed complex...

5 Mingze Yuan, et al. ∙

∙ 03/02/2023

Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT

Pancreatic cancer is one of the leading causes of cancer-related death. ...

0 Bo Zhou, et al. ∙

∙ 01/28/2023

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans

Human readers or radiologists routinely perform full-body multi-organ mu...

0 Jieneng Chen, et al. ∙

∙ 06/04/2021

Glance-and-Gaze Vision Transformer

Recently, there emerges a series of vision Transformers, which show supe...

0 Qihang Yu, et al. ∙

∙ 04/20/2021

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation

Federated learning (FL) enables collaborative model training while prese...

0 Yingda Xia, et al. ∙

∙ 10/29/2020

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples

Although deep neural networks have been a dominant method for many 2D vi...

9 Yingwei Li, et al. ∙

∙ 06/28/2020

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...

3 Yingda Xia, et al. ∙

∙ 03/18/2020

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

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...

0 Yingda Xia, et al. ∙

∙ 03/18/2020

Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation

The ability to detect failures and anomalies are fundamental requirement...

6 Yingda Xia, et al. ∙

∙ 10/15/2019

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

Automatic segmentation of abdomen organs using medical imaging has many ...

0 Jinzheng Cai, et al. ∙

∙ 04/02/2019

Thickened 2D Networks for 3D Medical Image Segmentation

There has been a debate in medical image segmentation on whether to use ...

2 Qihang Yu, et al. ∙

∙ 03/26/2019

An Alarm System For Segmentation Algorithm Based On Shape Model

It is usually hard for a learning system to predict correctly on rare ev...

0 Fengze Liu, et al. ∙

∙ 12/02/2018

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...

0 Chen Wei, et al. ∙

∙ 11/29/2018

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

We propose a novel framework, uncertainty-aware multi-view co-training (...

0 Yingda Xia, et al. ∙

∙ 07/09/2018

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

This paper proposes an intuitive approach to finding pancreatic ductal a...

2 Zhuotun Zhu, et al. ∙

∙ 04/27/2018

Joint Shape Representation and Classification for Detecting PDAC

We aim to detect pancreatic ductal adenocarcinoma (PDAC) in abdominal CT...

0 Fengze Liu, et al. ∙

∙ 04/02/2018

Bridging the Gap Between 2D and 3D Organ Segmentation

There has been a debate on whether to use 2D or 3D deep neural networks ...

0 Yingda Xia, et al. ∙

∙ 12/01/2017

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...

0 Zhuotun Zhu, et al. ∙

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