IEEE

Deep TPS-PSO: Hybrid Deep Feature Extraction and Global Optimization for Precise 3D MRI Registration

Abstract: This article presents TPS-PSO, a hybrid deformable image registration framework integrating deep learning, non-linear transformation modeling, and global optimization for accurate ...
Microsoft

Synthesis and machine learning for heterogeneous extraction

We present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations ...
Frontiers

Deep learning model based on DCE-MRI: fusion of 3D features of tumor, peritumoral vessels and metastatic lymph nodes for prediction of pathological complete response to ...

Objective: The aim of this study is to develop a deep learning-based radiomic (DLR) model by fusing 3D features of tumor, peritumoral vessels, and metastatic lymph nodes from dynamic contrast-enhanced ...
GitHub

Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...
Frontiers

Development of a multimodal model combining radiomics and deep learning to predict malignant cerebral edema after endovascular thrombectomy

1 Department of Neurology, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, Zhejiang, China ...
GitHub

feature-compressio

A compact pipeline for detecting emergency vehicles from audio using deep learning. Includes data download and preprocessing, MFCC/LFCC/Chroma feature extraction, model training (autoencoders for ...
IEEE

Robust Face Recognition Using Deep Learning and Ensemble Classification

Abstract: Facial recognition systems are widely used in various applications such as security, healthcare, and authentication, but face significant challenges in uncontrolled environments. Poor ...