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05/31/2021
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction
Pancreatic ductal adenocarcinoma (PDAC) is the third most common cause o...
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03/08/2021
Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations
Human body is a complex dynamic system composed of various sub-dynamic p...
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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...
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04/04/2020
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors
This work presents comprehensive results to detect in the early stage th...
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12/06/2019
Deep Distance Transform for Tubular Structure Segmentation in CT Scans
Tubular structure segmentation in medical images, e.g., segmenting vesse...
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04/02/2019
Thickened 2D Networks for 3D Medical Image Segmentation
There has been a debate in medical image segmentation on whether to use ...
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12/03/2018
Elastic Boundary Projection for 3D Medical Imaging Segmentation
We focus on an important yet challenging problem: using a 2D deep networ...
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11/28/2018
Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation
Integrating multi-phase information is an effective way of boosting visu...
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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...
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04/27/2018
Joint Shape Representation and Classification for Detecting PDAC
We aim to detect pancreatic ductal adenocarcinoma (PDAC) in abdominal CT...
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04/23/2018
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
Accurate and robust segmentation of abdominal organs on CT is essential ...
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04/07/2018
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound
Deep convolutional neural networks (CNNs), especially fully convolutiona...
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04/07/2018
Semi-supervised multi-organ segmentation via multi-planar co-training
Multi-organ segmentation is a critical problem in medical image analysis...
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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 ...
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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...
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09/13/2017
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation
We aim at segmenting small organs (e.g., the pancreas) from abdominal CT...
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06/22/2017
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans
Automatic segmentation of an organ and its cystic region is a prerequisi...
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12/25/2016
