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Name: Minghong Duan
Type: User
Name: Minghong Duan
Type: User
This is a collection of articles about Implicit Neural Representation networks in medical imaging
Code for CVPR2023 paper:Adaptive Assignment for Geometry Aware Local Feature Matching
Diffusion Models in Medical Imaging
[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging
A collection of resources on applications of Transformers in Medical Imaging.
Biobsy needle segmentation
PyTorch code for our NeurIPS 2022 paper "Cross Aggregation Transformer for Image Restoration"
CS231n
Reference-based Image Super-Resolution with Deformable Attention Transformer
WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
local
Official PyTorch implementation of Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior (CVPR 2020)
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Hung-yi Lee ML Homework
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement
Local Implicit Wavelet Transformer for Arbitrary-Scale Super-Resolution
Local Texture Estimator for Implicit Representation Function, in CVPR 2022
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
code for paper "Masked Frequency Modeling for Self-Supervised Visual Pre-Training" (https://arxiv.org/pdf/2206.07706.pdf)
【IEEE TMI 2022】Accelerated Multi-Modal MR Imaging with Transformers
(ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.
implementation of PathSRGAN
PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
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