research
∙
09/14/2023
Unleashing the Power of Depth and Pose Estimation Neural Networks by Designing Compatible Endoscopic Images
Deep learning models have witnessed depth and pose estimation framework ...
share
research
∙
09/07/2023
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
Although deep learning have revolutionized abdominal multi-organ segment...
research
∙
07/28/2023
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization
Driven by the latest trend towards self-supervised learning (SSL), the p...
research
∙
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...
research
∙
04/13/2023
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training
Large-scale models pre-trained on large-scale datasets have profoundly a...
research
∙
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...
research
∙
09/25/2022
Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks
Self-supervised learning (SSL) has achieved remarkable performance on va...
research
∙
09/17/2022
Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation
Detailed pulmonary airway segmentation is a clinically important task fo...
research
∙
02/25/2022
Faithful learning with sure data for lung nodule diagnosis
Recent evolution in deep learning has proven its value for CT-based lung...
research
∙
02/13/2022
LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation
Purpose: Bronchoscopic intervention is a widely-used clinical technique ...
research
∙
09/07/2021
FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation
3D Convolutional Neural Networks (CNNs) have been widely adopted for air...
research
∙
06/24/2021
Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset
To investigate whether the pleurae, airways and vessels surrounding a no...
research
∙
12/10/2020
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT
Training convolutional neural networks (CNNs) for segmentation of pulmon...
research
∙
11/24/2020
Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation
Automated airway segmentation is a prerequisite for pre-operative diagno...
research
∙
03/19/2020
Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention
With the popularity of stereo cameras in computer assisted surgery techn...
research
∙
07/16/2019
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks
Airway segmentation on CT scans is critical for pulmonary disease diagno...
research
∙
11/08/2017
Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning
In robotic surgery, task automation and learning from demonstration comb...
research
∙
12/26/2015
Data Driven Robust Image Guided Depth Map Restoration
Depth maps captured by modern depth cameras such as Kinect and Time-of-F...
research
∙
02/18/2015