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To the best of our knowledge, this is the first list of deep learning papers on medical applications. There are couple of lists for deep learning papers in general, or computer vision, for example Awesome Deep Learning Papers. In this list, I try to classify the papers based on their deep learning techniques and learning methodology. I believe this list could be a good starting point for DL researchers on Medical Applications.
Criteria
A list of top deep learning papers published since 2015.
Papers are collected from peer-reviewed journals and high reputed conferences. However, it may have recent papers on arXiv.
A meta-data is required along with the paper, i.e. Deep Learning technique, Imaging Modality, Area of Interest, Clinical Database (DB).
Dermatologist-level classification of skin cancer with deep neural networks
Nature
2017
FCN + CNN
MRI
Liver-Liver Tumor
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks [pdf]
ISBI
2017
Detection / Localization
Technique
Modality
Area
Paper Title
DB
J/C
Year
MLP
CT
Head-Neck
3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data [pdf]
MICCAI
2015
CNN
US
Fetal
Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks [pdf]
Real-time Standard Scan Plane Detection and Localisation in Fetal Ultrasound using Fully Convolutional Neural Networks [pdf]
MICCAI
2016
CNN+LSTM
MRI
Heart
Recognizing end-diastole and end-systole frames via deep temporal regression network [pdf]
MICCAI
2016
M-CNN
MRI
Heart
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation Neural Networks [pdf]
IEEE-TMI
2016
CNN
PET/CT
Heart
Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique Neural Networks [pdf]
MP
2016
3D-CNN
MRI
Brain
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks [pdf]
IEEE-TMI
2016
CNN
X-ray, MG
-
Self-Transfer Learning for Fully Weakly Supervised Lesion Localization [pdf]
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
IPMI
2017
FCN
X-ray
Cardiac
CathNets: Detection and Single-View Depth Prediction of Catheter Electrodes
MIAR
2016
Segmentation
Technique
Modality
Area
Paper Title
DB
J/C
Year
U-Net
-
-
U-net: Convolutional networks for biomedical image segmentation
MICCAI
2015
FCN
MRI
Head-Neck
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation [pdf]
arXiv
2016
FCN
CT
Liver-Liver Tumor
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields [pdf]
MICCAI
2016
3D-CNN
MRI
Spine
Model-Based Segmentation of Vertebral Bodies from MR Images with 3D CNNs
MICCAI
2016
FCN
CT
Liver-Liver Tumor
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks [pdf]
arXiv
2017
FCN
MRI
Liver-Liver Tumor
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks [pdf]
ISBI
2017
3D-CNN
Diffusion MRI
Brain
q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI [pdf] (Section II.B.2)
IEEE-TMI
2016
Registration
Technique
Modality
Area
Paper Title
DB
J/C
Year
3D-CNN
CT
Spine
An Artificial Agent for Robust Image Registration [pdf]