Dazhou Guo | DeepAI

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Ke Yan
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∙ 07/28/2023

Anatomy-Aware Lymph Node Detection in Chest CT using Implicit Station Stratification

Finding abnormal lymph nodes in radiological images is highly important ...

0 Ke Yan, et al. ∙

∙ 06/15/2023

Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning

Intrathoracic airway segmentation in computed tomography (CT) is a prere...

0 Puyang Wang, et al. ∙

∙ 03/10/2023

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation

Open international challenges are becoming the de facto standard for ass...

0 Minghui Zhang, et al. ∙

∙ 02/01/2023

Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans

Deep learning empowers the mainstream medical image segmentation methods...

0 Zhanghexuan Ji, et al. ∙

∙ 10/11/2021

Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT

Background: The current clinical workflow for esophageal gross tumor vol...

0 Xianghua Ye, 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. ∙

∙ 09/20/2021

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Lymph node station (LNS) delineation from computed tomography (CT) scans...

0 Dazhou Guo, et al. ∙

∙ 12/04/2020

Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images

Radiological images such as computed tomography (CT) and X-rays render a...

0 Ke Yan, 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. ∙

∙ 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. ∙

∙ 09/04/2019

Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk

Clinical target volume (CTV) delineation from radiotherapy computed tomo...

0 Dakai Jin, et al. ∙

∙ 09/04/2019

Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion

Gross tumor volume (GTV) segmentation is a critical step in esophageal c...

0 Dakai Jin, et al. ∙

∙ 05/25/2018

Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images

Constructing 3D structures from serial section data is a long standing p...

0 Hongkai Yu, et al. ∙

∙ 07/11/2015

LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes

One popular approach to interactively segment the foreground object of i...

0 Hongkai Yu, et al. ∙

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