Shin-ei Kudo

According to our database1, Shin-ei Kudo authored at least 15 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Correction to: Gaussian affinity and GIoU-based loss for perforation detection and localization from colonoscopy videos.
Int. J. Comput. Assist. Radiol. Surg., May, 2023

Gaussian affinity and GIoU-based loss for perforation detection and localization from colonoscopy videos.
Int. J. Comput. Assist. Radiol. Surg., May, 2023

2022
Uncertainty meets 3D-spatial feature in colonoscopic polyp-size determination.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

Positive-gradient-weighted object activation mapping: visual explanation of object detector towards precise colorectal-polyp localisation.
Int. J. Comput. Assist. Radiol. Surg., 2022

2021
Unsupervised colonoscopic depth estimation by domain translations with a Lambertian-reflection keeping auxiliary task.
Int. J. Comput. Assist. Radiol. Surg., 2021

Binary polyp-size classification based on deep-learned spatial information.
Int. J. Comput. Assist. Radiol. Surg., 2021

Single-shot three-dimensional reconstruction for colonoscopic image analysis.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Dense-layer-based YOLO-v3 for detection and localization of colon perforations.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Robust endocytoscopic image classification based on higher-order symmetric tensor analysis and multi-scale topological statistics.
Int. J. Comput. Assist. Radiol. Surg., 2020

Visualising decision-reasoning regions in computer-aided pathological pattern diagnosis of endoscytoscopic images based on CNN weights analysis.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
Polyp-size classification with RGB-D features for colonoscopy.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018
Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Cascade classification of endocytoscopic images of colorectal lesions for automated pathological diagnosis.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Discriminative Feature Selection by Optimal Manifold Search for Neoplastic Image Recognition.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Accuracy of computer-aided diagnosis based on narrow-band imaging endocytoscopy for diagnosing colorectal lesions: comparison with experts.
Int. J. Comput. Assist. Radiol. Surg., 2017


  Loading...