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Repository for ultrasound simulation codes + additional documentation
A Fourier domain reconstruction approach for planar photoacoustic tomography measurements augmented with learned components.
An open source and fully freely usable model based reconstruction procedure framework for optoacoustic microscopy.
Image restoration with neural networks but without learning.
Ford666 / leetcode
Forked from azl397985856/leetcodeLeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
Contains the code and example data for optically encoded photoacoustic microscopy (openPAM)
Deep-learning-based framework to reconstruct state-of-the-art multispectral optoacoustic tomography images in real-time
A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
Implementation of IEEE 2019 Research Paper : Image Compressed Sensing using Convolutional Neural Network.
The training codes, the training data, and some pre-trained models for my TIP paper "Image Compressed Sensing using Convolutional Neural Network".
Pytorch code for paper "Deep Networks for Compressed Image Sensing" and "Image Compressed Sensing Using Convolutional Neural Network"
Collection of reproducible deep learning for compressive sensing
A Collection of Papers and Codes for ECCV2024/ECCV2020 Low Level Vision
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
Generative Adversarial Network Applied to the Elimination of Noise and Artifacts in Optoacoustic Tomography Sinograms
A framework for blind denoising with self-supervision.
This repository stores codes for "High-resolution photoacoustic microscopy with deep penetration through learning"
Model resolution based deconvolution (SALSA) improves frequency domain photo acoustic reconstruction.
PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)
pytorch implementation of noise2noise for Cryo-EM image denoising