2.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Sungkyunkwan UniversityKR8 papers
- Samsung (South Korea)KR5 papers
- Samsung SDS (South Korea)3 papers
- Seoul National UniversityKR3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Changwon National UniversityKR2 papers
- Chung-Ang UniversityKR2 papers
- Imperial College LondonGB2 papers
- Korea Institute of Materials ScienceKR2 papers
- Memorial Sloan Kettering Cancer CenterUS2 papers
- University of SeoulKR2 papers
- AC Camargo HospitalBR1 paper
3 papers · 1 filter
SEEN: Sharpening Explanations for Graph Neural Networks using Explanations from Neighborhoods
Hyeoncheol Cho, Youngrock Oh, Eunjoo Jeon
Explaining the foundations for predictions obtained from graph neural networks (GNNs) is critical for credible use of GNN models for real-world problems. Owing to the rapid growth…
Radiologist-level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans
Lukas Hirsch, Yu Huang, Shaojun Luo +19
Purpose: To develop a deep network architecture that would achieve fully automated radiologist-level segmentation of cancers at breast MRI. Materials and Methods: In this retrospec…
Simple yet Effective Way for Improving the Performance of GAN
Yong-Goo Shin, Yoon-Jae Yeo, Sung-Jea Ko
In adversarial learning, discriminator often fails to guide the generator successfully since it distinguishes between real and generated images using silly or non-robust features.…