컴퓨터 비전, 저널
Medical Image Analysis 논문을 낸 국내 연구실
탑티어Medical Image Analysis. 2023년 이후 논문 27편, 연구실 26곳
이 학회에 논문을 낸 연구실
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
 Medical Information Processing Lab류일우 교수 | POSTECH | 46 | 57 | 43 | |
 Medical Information Processing Lab김원화 교수 | POSTECH | 54 | 68 | 43 | |
 MPBEL김진성 교수 | 연세대 | 2 | 5 | – | |
 Nanoscale Advanced Integrated Systems Lab배현민 교수 | KAIST | 9 | 18 | – | |
 Translational Medical Intelligence백종덕 교수 | 연세대 | 1 | 2 | – | |
 Visual & General Intelligence Lab (시각 및 범용 지능 연구실)박경문 교수모집 안내 | 고려대 | 29 | 39 | – |
최근 논문
- Complex wavelet-based Transformer for neurodevelopmental disorder diagnosis via direct modeling of real and imaginary components
2026, Machine Intelligence Lab
- Establishing the robustness metric as a scalable proxy for clinical relevance in medical AI explainability
2026, Cognitive Systems Lab
- Quantification of thyroid nodules in multiple ultrasonography systems
2026, Nanoscale Advanced Integrated Systems Lab
- Read like a radiologist: Efficient vision-language model for 3D medical imaging interpretation
2026, 예종철 연구실
- Unsupervised domain adaptation for medical image segmentation using adaptogen-perturbation
2026, Visual & General Intelligence Lab (시각 및 범용 지능 연구실), 이상민 연구실
- Welcome new doctor: Continual learning with expert consultation and autoregressive inference for whole slide image analysis
2026, 곽진태 연구실
- Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment
2025, 주재걸 연구실
- Automated ultrasonography of hepatocellular carcinoma using discrete wavelet transform based deep-learning neural network
2025, 인공지능 바이오전자공학 연구실
- DIOR-ViT: Differential ordinal learning Vision Transformer for cancer classification in pathology images
2025, 곽진태 연구실
- Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation
2025, Information Processing Algorithm Lab. @ EE, Korea University, Medical Artificial Intelligence Lab
- End-to-end breast cancer radiotherapy planning via LMMs with consistency embedding
2025, MPBEL, 예종철 연구실
- Ensemble and low-frequency mixing with diffusion models for accelerated MRI reconstruction
2025, 의료인공지능
- Improved unsupervised 3D lung lesion detection and localization by fusing global and local features: Validation in 3D low-dose computed tomography
2025, 김경수 연구실
- Low-dose computed tomography perceptual image quality assessment
2025, 이동헌 연구실, Translational Medical Intelligence
- MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysis
2025, 곽진태 연구실
- RFMiD: Retinal Image Analysis for multi-Disease Detection challenge
2025, 의료영상처리연구실
- C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation
2024, 예종철 연구실
- Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets
2024, Information Processing Algorithm Lab. @ EE, Korea University, Medical Artificial Intelligence Lab
- Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology
2024, 예종철 연구실
- TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations
2024, Medical Information Processing Lab, Medical Information Processing Lab