Fengze Liu | DeepAI

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Featured Co-authors

Yi Zhang
258 publications
Yan Wang
215 publications
Alan Yuille
192 publications
Jing Xiao
190 publications
Le Lu
114 publications
Lingxi Xie
105 publications
Yuan Yao
99 publications
Yuankai Huo
95 publications
Wei Shen
89 publications
Daguang Xu
65 publications
Dong Yang
63 publications

∙ 07/06/2022

Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation

Shape information is a strong and valuable prior in segmenting organs in...

30 Yuan Yao, et al. ∙

∙ 02/09/2022

Learning to Bootstrap for Combating Label Noise

Deep neural networks are powerful tools for representation learning, but...

14 Yuyin Zhou, et al. ∙

∙ 01/04/2022

External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data

The spleen is one of the most commonly injured solid organs in blunt abd...

13 Yuyin Zhou, et al. ∙

∙ 09/23/2021

SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings

In this work, we introduce a fast and accurate method for unsupervised 3...

0 Fengze Liu, 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. ∙

∙ 05/25/2020

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...

18 Fengze Liu, 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. ∙

∙ 12/06/2019

Deep Distance Transform for Tubular Structure Segmentation in CT Scans

Tubular structure segmentation in medical images, e.g., segmenting vesse...

17 Yan Wang, et al. ∙

∙ 08/21/2019

FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans

Automatic abnormality detection in abdominal CT scans can help doctors i...

0 Fengze Liu, 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. ∙

∙ 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. ∙

∙ 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. ∙

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