MICCAI 논문을 낸 국내 연구실
탑티어이 학회에 논문을 낸 연구실
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
Medical Information Processing Lab김원화 교수 | POSTECH | 54 | 68 | 43 | |
Medical Information Processing Lab류일우 교수 | POSTECH | 46 | 57 | 43 | |
곽진태 연구실곽진태 교수모집 안내 | 고려대 | 19 | 33 | 5 | |
의료영상처리연구실박현진 교수모집 안내 | 성균관대 | 12 | 38 | 1 | |
Medical Artificial Intelligence Lab박상현 교수 | POSTECH | 20 | 34 | 17 | |
High-performance Visual Computing Lab정원기 교수모집 안내 | 고려대 | 16 | 27 | 14 | |
의료영상분석및비전황성재 교수 | 연세대 | 25 | 35 | 19 | |
의료인공지능연구실감태의 교수모집 안내 | 고려대 | 14 | 49 | 23 | |
의료인공지능황도식 교수 | 연세대 | 16 | 23 | 18 | |
수퍼인텔리전스연구실추현승 교수 | 성균관대 | 5 | 65 | – | |
예종철 연구실예종철 교수 | KAIST | 86 | 108 | 39 | |
Nanoscale Advanced Integrated Systems Lab배현민 교수 | KAIST | 9 | 18 | – | |
지능시스템연구실백승준 교수 | 고려대 | 5 | 7 | – | |
정해준 연구실정해준 교수모집 안내 | 한양대 | 4 | 11 | 51 | |
천둥 연구실이재진 교수 | 서울대 | 16 | 31 | – | |
뇌역공학과 영상연구실김대식 교수 | KAIST | 7 | 20 | 94 | |
김경수 연구실김경수 교수신생 랩모집 안내 | 서울대 | 14 | 20 | 22 | |
이동헌 연구실이동헌 교수신생 랩 | 서울대 | 6 | 13 | 39 | |
지능형 계산영상 연구실전세영 교수모집 안내 | 서울대 | 37 | 55 | 25 | |
통계적 추론 및 정보 이론 연구실김준모 교수모집 안내 | KAIST | 42 | 65 | – |
최근 논문
- Multi-modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification
2024, Medical Information Processing Lab, Medical Information Processing Lab
- Multimodality for Diagnosis of Asian Choroidal Vasculopathy: Results from a Novel Dataset and Deep-Learning Experiments
2024, Cognitive Systems Lab
- Multi-order Simplex-Based Graph Neural Network for Brain Network Analysis
2024, Medical Information Processing Lab, Medical Information Processing Lab
- OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels
2024, Medical Information Processing Lab, Medical Information Processing Lab
- Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction
2024, 의료영상분석및비전
- PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model
2024, 통계적 추론 및 정보 이론 연구실
- Quantitative Assessment of Thyroid Nodules Through Ultrasound Imaging Analysis
2024, Nanoscale Advanced Integrated Systems Lab
- RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features
2024, 의료영상처리연구실
- Reference-Free Axial Super-Resolution of 3D Microscopy Images Using Implicit Neural Representation with a 2D Diffusion Prior
2024, High-performance Visual Computing Lab
- Semi-supervised Segmentation Through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy
2024, 의료영상처리연구실
- Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model
2024, 의료영상분석및비전
- Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
2024, Medical Artificial Intelligence Lab
- Towards a Text-Based Quantitative and Explainable Histopathology Image Analysis
2024, 곽진태 연구실
- Training ViT with Limited Data for Alzheimer's Disease Classification: An Empirical Study
2024, 뇌역공학과 영상연구실
- Uncertainty-Aware Diffusion-Based Adversarial Attack for Realistic Colonoscopy Image Synthesis
2024, Medical Information Processing Lab, Medical Information Processing Lab
- Uncertainty-Aware Meta-weighted Optimization Framework for Domain-Generalized Medical Image Segmentation
2024, Nanoscale Advanced Integrated Systems Lab
- Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport
2024, Medical Information Processing Lab, Medical Information Processing Lab
- USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images
2024, 곽진태 연구실
- Visual-Textual Matching Attention for Lesion Segmentation in Chest Images
2024, 수퍼인텔리전스연구실
- Anti-adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation
2023, Medical Information Processing Lab, Medical Information Processing Lab




























