Advanced X-ray Imaging TechniquesNuclear Physics and ApplicationsRadiation Detection and Scintillator TechnologiesAdvanced Radiotherapy TechniquesRadioactive Decay and Measurement TechniquesX-ray Spectroscopy and Fluorescence Analysis
PVT产品(whai362/PVT)

Official implementation of PVT series

PythonApache-2.0★ 1.9K
Retinexformer产品(caiyuanhao1998/Retinexformer)

"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Runner-Up...

PythonMIT★ 1.5K
PaddleSlim产品(PaddlePaddle/PaddleSlim)

PaddleSlim is an open-source library for deep model compression and architecture search.

PythonApache-2.0★ 1.6K
deep-ctr-prediction产品(qiaoguan/deep-ctr-prediction)

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

Python★ 938
DAB-DETR产品(IDEA-Research/DAB-DETR)

[ICLR 2022] Official implementation of the paper "DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR"

Jupyter NotebookApache-2.0★ 579
A review of deep learning based methods for medical image multi-organ segmentation论文
Physica Medica2021引用: 253
Transport of intensity equation: a tutorial论文
Optics and Lasers in Engineering2020引用: 549
An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study论文
The Lancet Digital Health2020引用: 332
Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison论文
BMC Bioinformatics2019引用: 232
One-step robust deep learning phase unwrapping论文
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MRI‐only based synthetic CT generation using dense cycle consistent generative adversarial networks论文
Medical Physics2019引用: 291
Generating synthetic CTs from magnetic resonance images using generative adversarial networks论文
Medical Physics2018引用: 293
Noise2Noise: Learning image restoration without clean data论文
Aaltodoc (Aalto University)2018引用: 442
Deep learning approach for Fourier ptychography microscopy论文
Optics Express2018引用: 256
AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy论文
Medical Physics2018引用: 524
Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods论文
IEEE Signal Processing Magazine2018引用: 595
Inter-observer variability of manual contour delineation of structures in CT论文
European Radiology2018引用: 258
Automatic segmentation of the clinical target volume and organs at risk in the planning<scp>CT</scp>for rectal cancer using deep dilated convolutional neural networks论文
Medical Physics2017引用: 303
Phase recovery and holographic image reconstruction using deep learning in neural networks论文
Light Science & Applications2017引用: 1.0K
Diagnostic Performance of Prostate Imaging Reporting and Data System Version 2 for Detection of Prostate Cancer: A Systematic Review and Diagnostic Meta-analysis论文
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