News - 2024
2024-04-15
Sion's paper has been early accepted (top 11%) for publication in MICCAI 2024. Congratulations!
Sion's paper, "Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification," has been early-accepted (top 11%) for publication in MICCAI 2024. Congratulations!
2024-05-13
A paper has been accepted for publication in Scientific Reports. Congratulations!
A paper, "Social context modulates multibrain broadband dynamics and functional brain-to-brain coupling in the group of mice," has been accepted for publication in Scientific Reports. Congratulations!
2024-04-15
Euijin's paper has been accepted for publication in The Spine Journal. Congratulations!
Euijin's paper, "Generation of synthetic PET/MR fusion images from MR images using a combination of generative adversarial networks and conditional denoising diffusion probabilistic models based on simultaneous 18F-FDG PET/MR image data of pyogenic spondylodiscitis" has been accepted for publication in The Spine Journal. Congratulations!
2024-03-21
Soopil and Heejung's paper has been accepted for publication in Medical Image Analysis. Congratulations!
Soopil and Heejung's paper has been accepted for publication in the Medical Image Analysis. Congratulations!
2024-03-19
Miguel's paper has been accepted for publication in Bioengineering. Congratulations!
Miguel's paper "Enhanced Nuclei Segmentation and Classification via Category Descriptors in the SAM Model" has been accepted for publication in the Bioengineering. Congratulations!
2024-03-04
A paper has been accepted for publication in Journal of Clinical Chemistry and Laboratory Medicine. Congratulations!
The paper "Deep Learning for Microsatellite Instability Prediction in Colorectal Cancer: Impact of Clinicopathologic Variables on Model Performance" was accepted in Journal of Clinical Chemistry and Laboratory Medicine. Congratulations!
2024-02-27
Internship in 2023 Winter
DGIST의 이경은, 홍서형, 그리고 이승언 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
2024-01-19
Myeongkyun received the Best Researcher Award. Congratulations!
Our lab member, Myeongkyun Kang, has been honored with the annual Department of Robotics Best Researcher Award. Congratulations to Myeongkyun for this recognition! Keep up the remarkable work!
2024-01-19
Miguel's paper has been accepted for publication in Computers in Biology and Medicine. Congratulations!
Miguel's paper "Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation" was accepted in Computers in Biology and Medicine. Congratulations!
2023-12-09
Soopil's paper has been accepted for publication in AAAI 2024. Congratulations!
Soopil's paper "Few shot part segmentation reveals compositional logic for industrial anomaly detection" was accepted in AAAI 2024. Congratulations!
2023-12-27
A paper was accepted for publication in Pattern Recognition. Congratulations!
Myeongkyun's paper, titled "FedNN: Federated Learning on Concept Drift Data using Weight and Adaptive Group Normalizations", was accepted for publication in Pattern Recognition. Congratulations.