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Name: 康斯坦丁

Type: User

Bio: 加油哟

康斯坦丁's Projects

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EAG-RS: A Novel Explainability-guided ROI Selection Framework for ASD diagnosis via Inter-regional Relation Learning - PyTorch Implementation (IEEE-TMI 2023)

-evaluation-and-improvement-of-interpretability-for-self-explainable-part-prototype-networks

[ICCV 2023] Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks

3dcnn-vis

Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification

aal116

Automated anatomical labelling atlas with 116 nodes

addformer

Addformer: Alzheimer’s disease detection from structural mri using fusion transformer

camull-net

A 3D convolutional neural network for the classification of Alzheimer's disease and its precursor Mild Cognitive Impairement.

chinese-clip

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

cnn_design_for_ad

Code for "Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs"

computerstudent

计算机专业系统性学习资料（python,c,c++,计算机组成，计算机网络，编译原理，电路，谷歌插件，爬虫）

dglcn

The codes are from MICCAI 2022, "Dual-graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis"

diffusion-models-in-media

A curated list of diffusion models in medical image analysis.

dmdin

Realization for the network: deep multimodal discriminative representation

hrem

Learning Semantic Relationship among Instances for Image-Text Matching, CVPR, 2023

hybnet

Attention-Guided Hybrid Network for Brain Disease Diagnosis with Structural MR Images

joint-learning-for-alzheimer-disease

[MedIA 2024] This is a code implemention of the joint learning framework proposed in the manuscipt "Joint learning framework of cross-modal synthesis and diagnosis for Alzheimer's disease by mining underlying shared modality information".