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
16 papers
LoSA-Net: A Localized and Scale-Adaptive Network for Boundary-Sensitive Prediction of Perineural Invasion in 3D MRI
Youngung Han, Hyunsu Go, Kyeonghun Kim +9
Perineural invasion (PNI) is a clinically relevant indicator of tumor aggressiveness and can influence surgical decision-making, motivating interest in reliable preoperative assess…
MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI
Youngung Han, Induk Um, Kyeonghun Kim +9
Perineural invasion (PNI) is a critical prognostic factor in cholangiocarcinoma. Non-invasive prediction from 3D MRI is challenging, demanding models that efficiently capture both…
SynSym: A Synthetic Data Generation Framework for Psychiatric Symptom Identification
Migyeong Kang, Jihyun Kim, Hyolim Jeon +6
Psychiatric symptom identification on social media aims to infer fine-grained mental health symptoms from user-generated posts, allowing a detailed understanding of users' mental s…
Tumor Synthesis conditioned on Radiomics
Jonghun Kim, Inye Na, Eun Sook Ko +1
Due to privacy concerns, obtaining large datasets is challenging in medical image analysis, especially with 3D modalities like Computed Tomography (CT) and Magnetic Resonance Imagi…
Speech Boosting: Low-Latency Live Speech Enhancement for TWS Earbuds
Hanbin Bae, Pavel Andreev, Azat Saginbaev +4
This paper introduces a speech enhancement solution tailored for true wireless stereo (TWS) earbuds on-device usage. The solution was specifically designed to support conversations…
Contextual quantum metrology
Jeongwoo Jae, Jiwon Lee, M. S. Kim +2
Quantum metrology promises higher precision measurements than classical methods. Entanglement has been identified as one of quantum resources to enhance metrological precision. How…
A human brain atlas of chi-separation for normative iron and myelin distributions
Kyeongseon Min, Beomseok Sohn, Woo Jung Kim +9
Iron and myelin are primary susceptibility sources in the human brain. These substances are essential for healthy brain, and their abnormalities are often related to various neurol…
Shuffle & Divide: Contrastive Learning for Long Text
Joonseok Lee, Seongho Joe, Kyoungwon Park +4
We propose a self-supervised learning method for long text documents based on contrastive learning. A key to our method is Shuffle and Divide (SaD), a simple text augmentation algo…
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision
Seongho Joe, Byoungjip Kim, Hoyoung Kang +5
The recent advances in representation learning inspire us to take on the challenging problem of unsupervised image classification tasks in a principled way. We propose ContraCluste…
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…
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaIN
Serin Yang, Eung Yeop Kim, Jong Chul Ye
X-ray computed tomography (CT) uses different filter kernels to highlight different structures. Since the raw sinogram data is usually removed after the reconstruction, in case the…
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Sharib Ali, Mariia Dmitrieva, Noha Ghatwary +34
The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative to address eminent problems in developing reliable computer aided detection and diagnosis endoscopy…
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.…
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Christ, Hongwei Bran Li +106
In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedi…
GATE : a simulation toolkit for PET and SPECT
S. Jan, G. Santin, D. Strul +50
Monte Carlo simulation is an essential tool in emission tomography that can assist in the design of new medical imaging devices, the optimization of acquisition protocols, and the…