Posts
Category:
Paper-Review
Code-Review
Study
Domain:
Medical-AI
Computer-Vision
Method:
Contrastive-Learning
Self-Supervised-Learning
Foundation-Model
Wavelet
Segmentation
Conference:
MICCAI
ICLR
ICML
NIPS
ECCV
I-JEPA의 전반적인 학습 코드를 본다.
Brain Network Transformer (NeurIPS)
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture (CVPR)
tensor slicing이란 무엇인지 깨닫고, 메모리를 고려하며 코딩하는 법
Interpretable fMRI Captioning via Contrastive Learning (MICCAI 2025)
[fMRI] BOLD
BrainLM: A foundation model for brain activity recordings (ICLR 2024)
Contrastive Loss 코드 리뷰
Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis (MICCAI 2025)
Entropy, Cross Entropy, KL Divergence
MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions (MICCAI 2024 Workshop on Advancing...
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)
Hello world