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08/08/2023
ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data
Developing a generalized segmentation model capable of simultaneously de...
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03/27/2023
Identifying Suspicious Regions of Covid-19 by Abnormality-Sensitive Activation Mapping
This paper presents a fully-automated method for the identification of s...
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02/02/2023
KST-Mixer: Kinematic Spatio-Temporal Data Mixer For Colon Shape Estimation
We propose a spatio-temporal mixing kinematic data estimation method to ...
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01/14/2022
Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes
CT image-based diagnosis of the stomach is developed as a new way of dia...
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01/13/2022
Realistic Endoscopic Image Generation Method Using Virtual-to-real Image-domain Translation
This paper proposes a realistic image generation method for visualizatio...
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01/12/2022
Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation
We propose a depth estimation method from a single-shot monocular endosc...
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01/09/2022
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty
This paper proposes a segmentation method of infection regions in the lu...
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01/09/2022
Lung infection and normal region segmentation from CT volumes of COVID-19 cases
This paper proposes an automated segmentation method of infection and no...
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08/19/2021
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation
Federated learning (FL) for medical image segmentation becomes more chal...
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10/20/2020
Micro CT Image-Assisted Cross Modality Super-Resolution of Clinical CT Images Utilizing Synthesized Training Dataset
This paper proposes a novel, unsupervised super-resolution (SR) approach...
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09/28/2020
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning
The performance of deep learning-based methods strongly relies on the nu...
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05/07/2020
Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation
This paper proposes a fully automated atlas-based pancreas segmentation ...
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05/04/2020
Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique
This paper presents an automated classification method of infective and ...
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04/20/2020
Colonoscope tracking method based on shape estimation network
This paper presents a colonoscope tracking method utilizing a colon shap...
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04/07/2020
Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes
This paper presents a super-resolution (SR) method with unpaired trainin...
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03/24/2020
Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN
In this work, we present a memory-efficient fully convolutional network ...
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03/03/2020
Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images
This paper presents a visualization method of intestine (the small and l...
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12/30/2019
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database
This paper newly introduces multi-modality loss function for GAN-based s...
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08/05/2019
Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams
This paper presents a new approach for precisely estimating the renal va...
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06/08/2018
3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation
This paper presents a fully automated atlas-based pancreas segmentation ...
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06/08/2018
Machine learning-based colon deformation estimation method for colonoscope tracking
This paper presents a colon deformation estimation method, which can be ...
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06/06/2018
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation
Recent advances in deep learning, like 3D fully convolutional networks (...
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04/11/2018
Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning
This paper presents a novel unsupervised segmentation method for 3D medi...
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04/11/2018
Unsupervised Pathology Image Segmentation Using Representation Learning with Spherical K-means
This paper presents a novel method for unsupervised segmentation of path...
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03/23/2018
Deep learning and its application to medical image segmentation
One of the most common tasks in medical imaging is semantic segmentation...
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03/14/2018
An application of cascaded 3D fully convolutional networks for medical image segmentation
Recent advances in 3D fully convolutional networks (FCN) have made it fe...
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01/18/2018
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks
Deep learning-based methods achieved impressive results for the segmenta...
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11/17/2017
Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks
Pancreas segmentation in computed tomography imaging has been historical...
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03/15/2017
Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project
This paper presents an end-to-end pixelwise fully automated segmentation...
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02/27/2017
