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Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution (WACV 2023) - Official Repo
Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae-Catalin Ristea, Nicolae Verga and Fahad Shahbaz Khan.
π This is the official repository of the "Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution" paper accepted at WACV 2023.
π Arxiv Link: https://arxiv.org/abs/2204.04218
π Overview
We propose a novel multimodal multi-head convolutional attention module for super-resolution. MHCA is a spatial-channel attention module that can be integrated into any neural network at any layer. We are also the first to perform medical image superresolution using a multimodal low-resolution input.
<img src="https://raw.githubusercontent.com/lilygeorgescu/MHCA/main/imgs/overview.png" width="600" >π License
The present code is released under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.
π» Code
We release the MHCA building block.
π Results and trained models.
π We obtained new SOTA results on T2w modality on the IXI data set for the scaling factor of 2x and 4x.
π€© We release the pretrained models. Check EDSR folder and try out our models.
<table> <tr> <td>Method</td> <td>Scale</td> <td>PSNR/SSIM</td> </tr> <tr> <td>EDSR + MCHA </td> <td>2x</td> <td> <a href="edsr/pretrained_models/model_single_input_IXI_x2.pt">40.11/0.9871</a> </td> </tr> <tr> <td>EDSR + MMCHA </td> <td>2x</td> <td> <a href="edsr/pretrained_models/model_multi_input_IXI_x2.pt">40.28/0.9874</a> </td> </tr> <tr> <td>EDSR + MCHA </td> <td>4x</td> <td> <a href="edsr/pretrained_models/model_single_input_IXI_x4.pt">32.15/0.9418</a> </td> </tr> <tr> <td>EDSR + MMCHA </td> <td>4x</td> <td> <a href="edsr/pretrained_models/model_multi_input_IXI_x4.pt">32.51/0.9452</a> </td> </tr> </table>π¨ Installation
Please follow the instructions in Install.md.
πCitation
Please cite our work if you use any material released in this repository.
@inproceedings{Georgescu-WACV-2023,
title="{Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution}",
author={Georgescu, Mariana-Iuliana and Ionescu, Radu Tudor and Miron, Andreea-Iuliana and Savencu, Olivian and Ristea, Nicolae-Catalin and Verga, Nicolae and Khan, Fahad Shahbaz},
booktitle={Proceedings of WACV},
year={2023},
publisher={IEEE}
}