[논문리뷰] Brain Network Transformer
Brain Network Transformer (NeurIPS)
Brain Network Transformer (NeurIPS)
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture (CVPR)
Interpretable fMRI Captioning via Contrastive Learning (MICCAI 2025)
BrainLM: A foundation model for brain activity recordings (ICLR 2024)
Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis (MICCAI 2025)
MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions (MICCAI 2024 Workshop on Advancing Data Solu...
Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study (MICCAI 2024)
UWT-Net: Mining low-frequency feature information for medical image segmentation (MICCAI 2025)
Wavelet Convolutions for Large Receptive Fields (ECCV 2024)
A Simple Framework for Contrastive Learning of Visual Representations (ICML 2020)
Supervised Contrastive Learning (NIPS 2020)
I-JEPA의 전반적인 학습 코드를 본다.
tensor slicing이란 무엇인지 깨닫고, 메모리를 고려하며 코딩하는 법
Contrastive Loss 코드 리뷰
Entropy, Cross Entropy, KL Divergence
Hello world
[fMRI] BOLD