activity
20212024
most citedWhy is the winner the best?

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC2024

Advancing Multiscale Structural Mapping for Alzheimer's Disease using Local Gyrification Index

Jinhee Jang, Geonwoo Baek, Ikbeom Jang

Research question: This study aims to find whether other neurostructural measurements could be added and combined with the state-of-the-art Alzheimer's imaging marker called MSSM t…

cs.CV2024

Weakly Supervised Pretraining and Multi-Annotator Supervised Finetuning for Facial Wrinkle Detection

Ik Jun Moon, Junho Moon, Ikbeom Jang

1. Research question: With the growing interest in skin diseases and skin aesthetics, the ability to predict facial wrinkles is becoming increasingly important. This study aims to…

eess.IV20241 cited

Preoperative Rotator Cuff Tear Prediction from Shoulder Radiographs using a Convolutional Block Attention Module-Integrated Neural Network

Chris Hyunchul Jo, Jiwoong Yang, Byunghwan Jeon +2

Research question: We test whether a plane shoulder radiograph can be used together with deep learning methods to identify patients with rotator cuff tears as opposed to using an M…

cs.CV20231 cited

Why is the winner the best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru +122

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…

eess.IV2021

Engineering AI Tools for Systematic and Scalable Quality Assessment in Magnetic Resonance Imaging

Yukai Zou, Ikbeom Jang

A desire to achieve large medical imaging datasets keeps increasing as machine learning algorithms, parallel computing, and hardware technology evolve. Accordingly, there is a grow…