DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation (PRCV)

Synthesis Models for Multi-Sequence MRIs

Image translation from a set of pre-contrast prostate MRI sequences to contrast-enhanced MRI utilizing cGAN

This project harnesses the ESRGAN model for super-resolution enhancement of MRI images, coupled with the efficient Inception V3 architecture for deep learning-based brain tumor classification. This…

Unofficial pytorch implementation of miSRGAN, in paper "3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction"

This repository contains the code and resources for a study on MRI image super-resolution, comparing Low-Rank Matrix Completion methods with advanced Deep Learning approaches. The implementation in…

Comparing Super Resolution Models to Improve MRI Image Quality

Multimodal Medical Image Fusion based on Multi-channel Aggregated Network

Code for paper Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion

[IEEE TIP 2022] Official implementation of MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer

FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba

OmniFusion — a multimodal model to communicate using text and images

A trustworthy face data secure protection research platform developed by the Chongqing University of Posts and Telecommunications (CQUPT).

PFAD: Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model

Adversarial Fine-tuning via Disentanglement (AFD) to bridge the feature gap to enhance adversarial robustness.

A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

This introduces a suggestion of mathematical notation protocol for machine learning.

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

A curated list of Parameter Efficient Fine-tuning papers with a TL;DR

Collection of awesome test-time (domain/batch/instance) adaptation methods

Collection of awesome parameter-efficient fine-tuning resources.

A paper list for Robotics / Embodied AI - Tianxing Chen

[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI

A curated list of awesome papers on Embodied AI and related research/industry-driven resources.

This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

[ICML 2024] "Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training"

A curated, but incomplete, list of data-centric AI resources.

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06