Stars
PET2BIDS helps you convert your PET data into BIDS! raw PET scanner files (e.g. ecat, dicom) and additional side files like .e.g excel sheets -- paper @JOSS https://doi.org/10.21105/joss.06067
Dual Attention Multi-Instance Deep Learning for AD diagnosis
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
[TMLR 2022] High-Modality Multimodal Transformer
[ICLR 2023] MultiViz: Towards Visualizing and Understanding Multimodal Models
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Layers Outputs and Gradients in Keras. Made easy.
[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…
A game theoretic approach to explain the output of any machine learning model.
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Multimodal Fusion, Multimodal Sentiment Analysis
HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification
E6893 Final Project for ja3130, mn2769, and hz2441 (Project ID: 201712-18)
Source code for training Gated Multimodal Units on MM-IMDb dataset
Global-local Transformer for brain age prediction
SimpleReg is a research-focused toolkit that provides tools helpful for (medical) image registration and processing.
Medical Image Registration
R interface to the ANTs biomedical image processing library
Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.
Implementation of BAM: Bottleneck Attention Module with TensorFLow
Project for the Advanced Multimodal Machine Learning course at CMU.
Based on our paper "Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-Scans".
Example download scripts for the OASIS3 project