2024-12-28
Soopil and Heejung's paper, "Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation with Image Synthesis" has been accepted in IEEE Transactions on Medical Imaging. Congratulations!
2024-11-05
Dongkyu's paper, "Lumbar spinal stenosis grading in multiple level magnetic resonance imaging using deep convolutional neural networks," has been accepted for publication in Global Spine Journal. Congratulations!
Prof. Park served as the chair of the Oral session on Computational Pathology at MICCAI 2024.
2024-08-12 KCCV Doctoral Colloquium
Soopil was selected as a participant in the annual KCCV Doctoral Colloquium, where he delivered an engaging presentation on his doctoral research and presented a poster summarizing his work. Congratulations!
2024-07-15~19 Sion's Research Poster Paper has been accepted for poster session presentation in EMBC 2024
Sion's paper titled "Motor Imagery EEG Signal Generation from Resting-State Signal" has been accepted for presentation in EMBC. Congratulations~
2024-07-15~19 Siwoo's Research Poster Paper has been accepted for poster session presentation in EMBC 2024
Siwoo's paper titled "Sam for Weakly Supervised Nuclei Instance Segmentation" has been accepted for presentation in EMBC. Congratulations~
Chenda, Panha, 남윤성, 이경은 학생이 4주간 하계 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
Sion's paper, "Few-shot Anomaly Detection using Positive Unlabeled Learning with Cycle Consistency and Co-occurrence Features," has been accepted for publication in Expert Systems with Applications. Congratulations!
Wafa's paper has been accepted for oral presentation at MICCAI EMERGE Workshop 2024. Congratulations!
Wafa's paper, "Context-Guided Medical Visual Question Answering," has been accepted for publication and oral presentation in MICCAI's EMERGE Workshop 2024. Congratulations!
A paper, "Horizontal Attention Based Generation Module for Unsupervised Domain Adaptive Stereo Matching," has been accepted for publication and oral presentation in IROS 2024. Congratulations!
Ihsan's paper, "Video Domain Adaptation for Semantic Segmentation using Perceptual Consistency Matching," has been accepted for publication in Neural Networks. Congratulations!
Siwoo's paper, "InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations," has been accepted for publication in MICCAI 2024. Congratulations!
Philip's paper, "Low-Shot Prompt Tuning for Multiple Instance Learning based Histology Classification," has been accepted 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!
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!
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!
Soopil and Heejung's paper has been accepted for publication in the Medical Image Analysis. 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!
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!
Prof. Park will serve as an area chair in MICCAI 2024.
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
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!
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!
Soopil's paper "Few shot part segmentation reveals compositional logic for industrial anomaly detection" was accepted in AAAI 2024. Congratulations!
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.