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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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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...
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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...
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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...
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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...
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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 ...
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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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06/06/2019
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
Deep learning algorithms, in particular 2D and 3D fully convolutional ne...
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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 (...
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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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04/02/2018
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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11/20/2016
Object Recognition with and without Objects
While recent deep neural networks have achieved a promising performance ...
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12/03/2015
Bag Reference Vector for Multi-instance Learning
Multi-instance learning (MIL) has a wide range of applications due to it...
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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...
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09/25/2014
