Seoi Jeong

According to our database, Seoi Jeong authored at least 4 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

OSS: Open Suturing Skills Vision-Based Assessment Challenge 2024-2025.

Hanna Hoffmann, Setareh Bady, Claas de Boer, Max Kirchner, Jan Egger, Rainer Röhrig, Frank Hölzle, Lennart Johannes Gruber, Kunpeng Xie, Marlon Neuhaus, Victor Alves, Guilherme Barbosa, Leonardo Barroso, João Carvalho, Hao Chen, Gabriella d'Albenzio, André Ferreira, Nuno Gomes, Yuichiro Hayashi, Kousuke Hirasawa, Rebecca Hisey, Seungjae Hong, Seoi Jeong, Tiago Jesus, Daehong Kang, Satoshi Kasai, Shunsuke Kikuchi, Takayuki Kitasaka, Satoshi Kondo, Hyoun-Joong Kong, Youngbin Kong, Atsushi Kouno, Shlomi Laufer, Kyu Eun Lee, Bining Long, Nooshin Maghsoodi, Hiroki Matsuzaki, Evangelos Mazomenos, Ori Meiraz, Kensaku Mori, Marina Music, Masahiro Oda, Roi Papo, Jieun Park, Rafael Piexoto, Saeid Rezaei, Mariana Ribeiro, Soyeon Shin, Yang Shu, Idan Smoller, Danail Stoyanov, Yihui Wang, Xinkai Zhao, Sebastian Bodenstedt, Isabel Funke, Stefanie Speidel, Behrus Hinrichs-Puladi

CoRR, May, 2026

2024

Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient follow-up schedules.

Yechan Seo, Seoi Jeong, Siyoung Lee, Tae-Shin Kim, Jun-Hoe Kim, Chun Kee Chung, Chang-Hyun Lee, John M. Rhee, Hyoun-Joong Kong, Chi Heon Kim

BMC Medical Informatics Decis. Mak., December, 2024

SwiftMedSAM: An Ultra-lightweight Prompt-Based Universal Medical Image Segmentation Model for Highly Constrained Environments.

Youngbin Kong, Kwangtai Kim, Seoi Jeong, Kyu Eun Lee, Hyoun-Joong Kong

Proceedings of the Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop, 2024

2023

Multi-Organ and Pan-Cancer Segmentation Framework from Partially Labeled Abdominal CT Datasets: Fine and Swift nnU-Nets with Label Fusion.

Youngbin Kong, Kwangtai Kim, Seoi Jeong, Kyu Eun Lee, Hyoun-Joong Kong

Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023