Zhuotun Zhu | DeepAI

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Featured Co-authors

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∙ 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. ∙

∙ 08/29/2020

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Determining the spread of GTV_LN is essential in defining the respective...

9 Chun-Hung Chao, et al. ∙

∙ 08/27/2020

Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy

Finding, identifying and segmenting suspicious cancer metastasized lymph...

5 Zhuotun Zhu, 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. ∙

∙ 05/27/2020

Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification

Finding and identifying scatteredly-distributed, small, and critically i...

4 Zhuotun Zhu, et al. ∙

∙ 04/17/2020

Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search

OAR segmentation is a critical step in radiotherapy of head and neck (H ...

6 Dazhou Guo, et al. ∙

∙ 04/04/2020

Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors

This work presents comprehensive results to detect in the early stage th...

10 Zhuotun Zhu, et al. ∙

∙ 06/06/2019

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation

Deep learning algorithms, in particular 2D and 3D fully convolutional ne...

1 Zhuotun Zhu, 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. ∙

∙ 04/02/2018

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. ∙

∙ 11/20/2016

Object Recognition with and without Objects

While recent deep neural networks have achieved a promising performance ...

0 Zhuotun Zhu, et al. ∙

∙ 12/03/2015

Bag Reference Vector for Multi-instance Learning

Multi-instance learning (MIL) has a wide range of applications due to it...

0 Hanqiang Song, et al. ∙

∙ 10/05/2015

Relaxed Multiple-Instance SVM with Application to Object Discovery

Multiple-instance learning (MIL) has served as an important tool for a w...

0 Xinggang Wang, et al. ∙

∙ 09/25/2014

Deep Learning Representation using Autoencoder for 3D Shape Retrieval

We study the problem of how to build a deep learning representation for ...

0 Zhuotun Zhu, et al. ∙

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