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Deep Learning Papers on Medical Image Analysis

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Medical Imaging Research

A curated list of deep learning papers on medical image analysis

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What's in the list

79 links in 2 sections, with live GitHub stats.activeno commit in 2y

Table of Contents / Deep Learning Techniques

Table of Contents / Medical Applications

  • [pdf]

    Deep learning of feature representation with multiple instance learning for medical image analysis

  • [pdf]

    AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images

  • pdf

    Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

  • [pdf]

    Multi-scale Convolutional Neural Networks for Lung Nodule Classification

  • [pdf]

    Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks

  • [pdf]

    Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning

  • [pdf]

    Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks

  • [pdf]

    A Deep Semantic Mobile Application for Thyroid Cytopathology

  • [pdf]

    Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network

  • [pdf]

    Multi-resolution-tract CNN with hybrid pretrained and skin-lesion trained layers

  • [pdf]

    Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes

  • [pdf]

    Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

  • [pdf]

    DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification

  • [pdf]

    3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients

  • [pdf]

    Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

  • [pdf]

    Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring

  • [pdf]

    Deep multi-instance networks with sparse label assignment for whole mammogram classification

  • [pdf]

    Spectral Graph Convolutions for Population-based Disease Prediction

  • [pdf]

    SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks

  • [pdf]

    3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data

  • [pdf]

    Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks

  • [pdf]

    Automated anatomical landmark detection ondistal femur surface using convolutional neural network

  • [pdf]

    Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks

  • [pdf]

    Regressing Heatmaps for Multiple Landmark Localization using CNNs

  • [pdf]

    An artificial agent for anatomical landmark detection in medical images

  • [pdf]

    Real-time Standard Scan Plane Detection and Localisation in Fetal Ultrasound using Fully Convolutional Neural Networks

  • [pdf]

    Recognizing end-diastole and end-systole frames via deep temporal regression network

  • [pdf]

    Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation Neural Networks

  • [pdf]

    Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique Neural Networks

  • [pdf]

    Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks

  • [pdf]

    Self-Transfer Learning for Fully Weakly Supervised Lesion Localization

  • [pdf]

    Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images

  • [pdf]

    DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification

  • [pdf]

    DeepEM: Deep 3D ConvNets with EM for weakly supervised pulmonary nodule detection

  • [pdf]

    Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

  • [pdf]

    AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy

  • [pdf]

    Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

  • [pdf]

    Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks

  • [pdf]

    SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks

  • [pdf]

    q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI (Section II.B.2)

  • [pdf]

    Adversarial Deep Structured Nets for Mass Segmentation from Mammograms

  • pdf

    3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

  • pdf

    Unsupervised domain adaptation in brain lesion segmentation with adversarial networks

  • pdf

    A Fully Convolutional Neural Network based Structured Prediction Approach Towards the Retinal Vessel Segmentation

  • [pdf]

    An Artificial Agent for Robust Image Registration

  • [pdf]

    Automated anatomical landmark detection ondistal femur surface using convolutional neural network

  • [pdf]

    q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI (Section II.B.1)

  • [HCP]

    and other

  • pdf

    A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

  • pdf

    Deep Generative Adversarial Networks for Compressed Sensing Automates MRI

  • [pdf]

    Red blood cell image generation for data augmentation using Conditional Generative Adversarial Networks

  • [pdf]

    Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks

  • [pdf]

    Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks

  • [pdf]

    GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks

  • [pdf]

    GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification

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