[논문리뷰] Brain Network Transformer
Brain Network Transformer (NeurIPS)
Tags
- Medical-AI 7
- Contrastive-Learning 6
- MICCAI 5
- Computer-Vision 4
- Self-Supervised-Learning 3
- Wavelet 2
- posts 1
- NIPS 1
- ICML 1
- ECCV 1
- Segmentation 1
- Dataset 1
- Information-Theory 1
- Foundation-Model 1
- ICLR 1
- fMRI 1
- Brain-Decoding 1
- PyTorch-basic 1
- CVPR 1
- Brain-Network 1
- NeurIPS 1
- JEPA 1
Medical-AI
[논문리뷰] Interpretable fMRI Captioning via Contrastive Learning
Interpretable fMRI Captioning via Contrastive Learning (MICCAI 2025)
[논문리뷰] BrainLM: A foundation model for brain activity recordings
BrainLM: A foundation model for brain activity recordings (ICLR 2024)
[논문리뷰] Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis
Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis (MICCAI 2025)
[논문리뷰] MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions
MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions (MICCAI 2024 Workshop on Advancing Data Solu...
[논문리뷰] Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study
Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study (MICCAI 2024)
[논문리뷰] UWT-Net: Mining low-frequency feature information for medical image segmentation
UWT-Net: Mining low-frequency feature information for medical image segmentation (MICCAI 2025)
Contrastive-Learning
[논문리뷰] Interpretable fMRI Captioning via Contrastive Learning
Interpretable fMRI Captioning via Contrastive Learning (MICCAI 2025)
[논문리뷰] BrainLM: A foundation model for brain activity recordings
BrainLM: A foundation model for brain activity recordings (ICLR 2024)
[코드 리뷰] Contrastive Loss - InfoNCE(NT-Xent)
Contrastive Loss 코드 리뷰
[논문리뷰] Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis
Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis (MICCAI 2025)
[논문리뷰] A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations (ICML 2020)
[논문리뷰] Supervised Contrastive Learning
Supervised Contrastive Learning (NIPS 2020)
MICCAI
[논문리뷰] Interpretable fMRI Captioning via Contrastive Learning
Interpretable fMRI Captioning via Contrastive Learning (MICCAI 2025)
[논문리뷰] Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis
Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis (MICCAI 2025)
[논문리뷰] MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions
MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions (MICCAI 2024 Workshop on Advancing Data Solu...
[논문리뷰] Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study
Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study (MICCAI 2024)
[논문리뷰] UWT-Net: Mining low-frequency feature information for medical image segmentation
UWT-Net: Mining low-frequency feature information for medical image segmentation (MICCAI 2025)
Computer-Vision
[논문리뷰] Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture (CVPR)
[논문리뷰] Wavelet Convolutions for Large Receptive Fields
Wavelet Convolutions for Large Receptive Fields (ECCV 2024)
[논문리뷰] A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations (ICML 2020)
[논문리뷰] Supervised Contrastive Learning
Supervised Contrastive Learning (NIPS 2020)
Self-Supervised-Learning
[논문리뷰] Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture (CVPR)
[논문리뷰] Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study
Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study (MICCAI 2024)
[논문리뷰] A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations (ICML 2020)
Wavelet
[논문리뷰] UWT-Net: Mining low-frequency feature information for medical image segmentation
UWT-Net: Mining low-frequency feature information for medical image segmentation (MICCAI 2025)
[논문리뷰] Wavelet Convolutions for Large Receptive Fields
Wavelet Convolutions for Large Receptive Fields (ECCV 2024)
posts
Hello World!
Hello world
NIPS
[논문리뷰] Supervised Contrastive Learning
Supervised Contrastive Learning (NIPS 2020)
ICML
[논문리뷰] A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations (ICML 2020)
ECCV
[논문리뷰] Wavelet Convolutions for Large Receptive Fields
Wavelet Convolutions for Large Receptive Fields (ECCV 2024)
Segmentation
[논문리뷰] UWT-Net: Mining low-frequency feature information for medical image segmentation
UWT-Net: Mining low-frequency feature information for medical image segmentation (MICCAI 2025)
Dataset
[논문리뷰] MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions
MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions (MICCAI 2024 Workshop on Advancing Data Solu...
Information-Theory
[코드리뷰] Entropy, Cross Entropy, KL Divergence
Entropy, Cross Entropy, KL Divergence
Foundation-Model
[논문리뷰] BrainLM: A foundation model for brain activity recordings
BrainLM: A foundation model for brain activity recordings (ICLR 2024)
ICLR
[논문리뷰] BrainLM: A foundation model for brain activity recordings
BrainLM: A foundation model for brain activity recordings (ICLR 2024)
fMRI
[fMRI] BOLD
[fMRI] BOLD
Brain-Decoding
[논문리뷰] Interpretable fMRI Captioning via Contrastive Learning
Interpretable fMRI Captioning via Contrastive Learning (MICCAI 2025)
PyTorch-basic
[코드 리뷰] Tensor Slicing
tensor slicing이란 무엇인지 깨닫고, 메모리를 고려하며 코딩하는 법
CVPR
[논문리뷰] Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture (CVPR)
Brain-Network
[논문리뷰] Brain Network Transformer
Brain Network Transformer (NeurIPS)
NeurIPS
[논문리뷰] Brain Network Transformer
Brain Network Transformer (NeurIPS)
JEPA
[코드 리뷰] I-JEPA-(1) overall train code
I-JEPA의 전반적인 학습 코드를 본다.