Seung Yeon Shin

Orcid: 0000-0002-5959-5761

According to our database1, Seung Yeon Shin authored at least 17 papers between 2014 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision.
Comput. Medical Imaging Graph., September, 2023

Improving small lesion segmentation in CT scans using intensity distribution supervision: application to small bowel carcinoid tumor.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Improved ascites segmentation with bladder identification using anatomical location residual U-Net.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022
Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans.
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022

A graph-theoretic algorithm for small bowel path tracking in CT scans.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Graph-Based Small Bowel Path Tracking with Cylindrical Constraints.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Triplanar convolution with shared 2D kernels for 3D classification and shape retrieval.
Comput. Vis. Image Underst., 2020

Deep Small Bowel Segmentation with Cylindrical Topological Constraints.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images.
IEEE Trans. Medical Imaging, 2019

Deep vessel segmentation by learning graphical connectivity.
Medical Image Anal., 2019

2017
Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images.
CoRR, 2017

Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

2016
MouseNet v2: a database of gene networks for studying the laboratory mouse and eight other model vertebrates.
Nucleic Acids Res., 2016

Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2014
Classification based micro-calcification detection using discriminative restricted Boltzmann machine in digitized mammograms.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014


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