The DGIST Outstanding Research Award goes to Sion An!
Sion won the 2023 Graduate School Award for Outstanding Researcher. Congratulations!
2023 Regional Digital Competitiveness Enhancement Talk Concert.
Our lab member Eojin made an appearance in the "Regional Digital Competitiveness Enhancement Talk Concert".
A paper, "Attention Based Generation Module for Unsupervised Domain Adaptive Stereo Matching" has been accepted for publication in IEEE Robotics and Automation Letters (RA-L). Congratulations!
DGIST의 이기원, 이준성, 하지우, 홍서형 학생이 4주간 하계 인턴을 진행하였습니다.
인턴기간 중 아래와 같은 일들을 수행하였습니다.
머신러닝과 딥러닝 이론공부 및 실습
Pytorch를 이용한 Anomaly detection 및 Nuclei segmentation 프로그래밍
State-of-the-art 기법 논문 정리 및 reproduce
다양한 metric과 confusion matrix등을 활용한 결과 분석 및 발표
Myeongkyun's paper, "Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation" has been accepted in Neural Networks. Congratulations!
Myeongkyun's paper, "Structure-preserving Image Translation for Multi-Source Medical Image Domain Adaptation" has been accepted in Pattern Recognition. Congratulations!
Jaehoon and Siwoo's paper, 'PROnet: Point Refinement using Shape-guided Offset Map for Nuclei Instance Segmentation' has been accepted for publication in MICCAI 2023. Congratulations!
Myeongkyun's paper, 'One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation' has been accepted for publication in MICCAI 2023. Congratulations!
A paper collaborated with Stanford, 'Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model' has been accepted for publication in MICCAI 2023. Congratulations!
Sion's paper, 'Dual Attention Relation Network with Fine-Tuning for Few Shot EEG Motor Imagery Classification', has been accepted for publication in the IEEE Transactions on Neural Networks and Learning Systems. (JCR < 2%). Congratulations!
KyungMin's paper, 'Clinical Implications of choroidal vascular brightness using ultra-widefield indocyanine green angiography in polypoidal choroidal vasculopathy' has been accepted for publication in Scientific Reports. Congratulations!
Myeongkyun and Soopil were sent to Stanford University for Joint Research! They will conduct research at the CNS Lab, led by Professor Kilian M. Pohl, for 6 months. Take care and Good Luck!
A paper, "ABCD : Arbitrary Bitwise Coefficient for De-quantization" has been accepted for publication in IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). Congratulations!
Arsalane Wafa, Dongmin Lee, and Eojin Jang joined MISPL.
Prof. Park will serve as an area chair in MICCAI 2023.
DGIST의 천규빈 학생과 하지우 학생이 4주간 동계 인턴을 진행하였습니다.
인턴기간 중 아래와 같은 일들을 수행하였습니다.
머신러닝과 딥러닝 이론공부
Pytorch를 이용한 Anomaly detection 및 Nuclei segmentation 프로그래밍
State-of-the-art 기법 논문 정리 및 reproduce
다양한 metric과 confusion matrix등을 활용한 결과 분석
Ihsan's paper, "A Deep Learning based Dual Encoder-Decoder Framework for Anatomical Structure Segmentation in Chest X-ray Images " has been accepted for publication in Scientific Reports. Congratulations!
Soopil's paper, "Uncertainty-Aware Semi-Supervised Few Shot Segmentation " has been accepted for publication in Pattern Recognition. Congratulations!
Euijin's paper, "Conditional GAN with 3D Discriminator for MRI Generation of Alzheimer’s Disease Progression " has been accepted in Pattern Recognition. Congratulations!