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在医学图像分析方向上深度学习论文清单_医学深度学习 期刊

医学深度学习 期刊

在医学图像分析方向上深度学习论文清单

背景

据我们所知,这是第一份关于医学应用的深度学习论文清单。一般来说,有很多深度学习论文或计算机视觉的列表,例如Awesome Deep Learning Papers。在此列表中,我尝试根据他们的深度学习技巧和学习方法对论文进行分类。我相信这份清单可能是一个很好的起点对于深度学习医学应用研究人员而言。

上榜标准

  1. 2015年以来公开发布的顶尖深度学习论文。
  2. 来自具有同行评议的期刊和知名会议。也包括一些最近发表在 arXiv的论文。
  3. 深度学习技术,成像模态,临床数据库等元数据需要提供。

期刊会议列表

名词解释

深度学习

  • NN(Neural Networks):神经网络
  • MLP(Multilayer Perceptron): 多层感知机
  • RBM(Restricted Boltzmann Machine): 受限玻尔兹曼机
  • SAE(Stacked Auto-Encoders): 栈式自编码器
  • CAE(Convolutional Auto-Encoders): 卷积的自编码器
  • CNN(Convolutional Neural Networks): 卷积神经网络
  • RNN(Recurrent Neural Networks): 循环神经网络
  • LSTM(Long Short Term Memory): 长短期记忆神经网络
  • MS-CNN(Multi-Scale/View/Stream CNN): 多尺度卷积神经网络
  • MIL-CNN(Multi-instance Learning CNN): 多实例学习卷积神经网络
  • FCN(Fully Convolutional Networks):全卷积神经网络

医学名词

  • US(Ultrasound): 医学超声检查
  • MR/MRI(Magnetic Resonance Imaging): 核磁共振成像
  • PET(Positron Emission Tomography): 正子断层照影
  • MG(Mammography): 乳房摄影术
  • CT(Computed Tompgraphy): 计算机断层扫描
  • H&E(Hematoxylin & Eosin Histology Images): 苏木精—伊红染色法

目录

深度学习

医学应用

文献索引

研究类综述
计算机技术医学技术目标区域标题数据库J/C年份
NNH&EDeep learning of feature representation with multiple instance learning for medical image analysis [pdf]ICASSP2014
M-CNNH&E乳腺AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images [pdf]AMIDAIEEE-TMI2016
FCNH&ESuggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation pdfMICCAI2017
分类问题
计算机技术医学技术目标区域标题数据库J/C年份
M-CNNCTMulti-scale Convolutional Neural Networks for Lung Nodule Classification [pdf]LIDC-IDRIIPMI2015
3D-CNNMRI大脑Predicting Alzheimer’s disease: a neuroimaging study with 3D convolutional neural networks [pdf]ADNIarXiv2015
CNN+RNNRGB眼睛Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning [pdf]IEEE-TBME2015
CNNX-ray膝盖Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks [pdf]O.E.1arXiv2016
CNNH&E甲状腺A Deep Semantic Mobile Application for Thyroid Cytopathology [pdf]SPIE2016
3D-CNN, 3D-CAEMRI大脑Alzheimer’s Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network [pdf]ADNIarXiv2016
M-CNNRGB皮肤Multi-resolution-tract CNN with hybrid pretrained and skin-lesion trained layers [pdf]DermofitMLMI2016
CNNRGB皮肤,眼睛Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes [pdf]EDRA, DRDarXiv2016
M-CNNCTPulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks [pdf]LIDC-IDRI, ANODE09, DLCSTIEEE-TMI2016
3D-CNNCTDeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification [pdf]LIDC-IDRI, LUNA16IEEE-WACV2018
3D-CNNMRI大脑3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients [pdf]MICCAI2016
SAEUS, CT乳腺,大脑Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans [pdf]LIDC-IDRINature2016
CAEMG乳腺Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring [pdf]IEEE-TMI2016
MIL-CNNMG乳腺Deep multi-instance networks with sparse label assignment for whole mammogram classification [pdf]INbreastMICCAI2017
GCNMRI大脑Spectral Graph Convolutions for Population-based Disease Prediction [pdf]ADNI, ABIDEarXiv2017
CNNRGB皮肤Dermatologist-level classification of skin cancer with deep neural networksNature2017
FCN + CNNMRI肝,肝癌SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks [pdf]ISBI2017
检测问题
计算机技术医学技术目标区域标题数据库J/C年份
MLPCT头颈3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data [pdf]MICCAI2015
CNNUS胎儿Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks [pdf]IEEE-JBHI2015
2.5D-CNNMRI股骨Automated anatomical landmark detection ondistal femur surface using convolutional neural network [pdf]OAIISBI2015
LSTMUS胎儿Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks [pdf]MICCAI2015
CNNX-ray, MRI头部Regressing Heatmaps for Multiple Landmark Localization using CNNs [pdf]DHADSMICCAI2016
CNNMRI, US, CT-An artificial agent for anatomical landmark detection in medical images [pdf]SATCOMMICCAI2016
FCNUS胎儿Real-time Standard Scan Plane Detection and Localisation in Fetal Ultrasound using Fully Convolutional Neural Networks [pdf]MICCAI2016
CNN+LSTMMRI心脏Recognizing end-diastole and end-systole frames via deep temporal regression network [pdf]MICCAI2016
M-CNNMRI心脏Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation Neural Networks [pdf]IEEE-TMI2016
CNNPET/CT心脏Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique Neural Networks [pdf]MP2016
3D-CNNMRI大脑Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks [pdf]IEEE-TMI2016
CNNX-ray, MG-Self-Transfer Learning for Fully Weakly Supervised Lesion Localization [pdf]NIH,China, DDSM,MIASMICCAI2016
CNNRGB眼睛Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images [pdf]DRD, MESSIDORMICCAI2016
GAN--Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker DiscoveryIPMI2017
FCNX-ray心脏CathNets: Detection and Single-View Depth Prediction of Catheter ElectrodesMIAR2016
3D-CNNCTDeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification [pdf]LIDC-IDRI, LUNA16IEEE-WACV2018
3D-CNNCTDeepEM: Deep 3D ConvNets with EM for weakly supervised pulmonary nodule detection [pdf]LIDC-IDRI, LUNA16MICCAI2018
分割问题
计算机技术医学技术目标区域标题数据库J/C年份
U-Net--U-net: Convolutional networks for biomedical image segmentationMICCAI2015
FCNMRI头颈Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation [pdf]arXiv2016
FCNCT肝,肝癌Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields [pdf]MICCAI2016
3D-CNNMRI脊柱Model-Based Segmentation of Vertebral Bodies from MR Images with 3D CNNsMICCAI2016
FCNCT肝,肝癌Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks [pdf]arXiv2017
FCNMRI肝,肝癌SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks [pdf]ISBI2017
3D-CNNDiffusion MRI大脑q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI [pdf] (Section II.B.2)IEEE-TMI2016
GANMG心肌Adversarial Deep Structured Nets for Mass Segmentation from Mammograms [pdf]INbreast, DDSM-BCRPISBI2018
3D-CNNCT肝脏3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes pdfMICCAI2017
3D-CNNMRI大脑Unsupervised domain adaptation in brain lesion segmentation with adversarial networks pdfIPMI2017
FCNFUNDUS眼睛/视网膜A Fully Convolutional Neural Network based Structured Prediction Approach Towards the Retinal Vessel Segmentation pdfISBI2017
正则化
计算机技术医学技术目标区域标题数据库J/C年份
3D-CNNCT脊柱An Artificial Agent for Robust Image Registration [pdf]2016
回归
计算机技术医学技术目标区域标题数据库J/C年份
2.5D-CNNMRIAutomated anatomical landmark detection ondistal femur surface using convolutional neural network [pdf]OAIISBI2015
3D-CNNDiffusion MRI大脑q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI [pdf] (Section II.B.1)[HCP] and otherIEEE-TMI2016
图像重建
计算机技术医学技术目标区域标题数据库J/C年份
CNNCS-MRIA Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction pdfIEEE-TMI2017
GANCS-MRIDeep Generative Adversarial Networks for Compressed Sensing Automates MRI pdfNIPS2017
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