Deep Learning in general
- Textbook
- Deep Learning Book (Yoshua Bengio) [html]
- Review papers
2013 Representation learning: A review and new perspectives (Yushua Bengio) [pdf]2014 Deep learning for neuroimaging: a validation study [pdf]2015 Nature Deep learning (Yann LeCun, Yoshua Bengio, Geoffrey Hinton) [pdf]2015 Deep learning in neural networks: An overview (J. Schmidhuber) [pdf]2016 Understanding deep convolutional networks [pdf]2016 Deep Learning in medical imaging: overview and future promise of an exciting new technique [pdf]2016.07 Towards an integration of Deep Learning and Neuroscience [pdf]
- Network Models
2012 ImageNet classification with deep convolutional neural networks (A. Krizhevsky et al. Hinton) [pdf]2015 Fully convolutional networks for semantic segmentation (J. Long et al.) [pdf]2014 Very deep convolutional networks for large-scale image recognition (K. Simonyan and A. Zisserman) [pdf]2014 Visualizing and understanding convolutional networks (M. Zeiler and R. Fergus) [pdf]2015 Fast R-CNN (R. Girshick) [pdf]2015 Going deeper with convolutions (C. Szegedy et al. Google) [pdf]2016 Deep residual learning for image recognition (K. He et al. Microsoft) [pdf]
- CNN
2013 Decaf: A deep convolutional activation feature for generic visual recognition (J. Donahue et al.) [pdf]2014 DeepFace: Closing the Gap to Human-Level Performance in Face Verification (Y. Taigman et al.) [pdf]2015 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (S. Ren et al.) [pdf]2015 Imagenet large scale visual recognition challenge (O. Russakovsky et al.) [pdf]2015 A Neural Algorithm of Artistic Style
- CNN visuatlization
- Visualizing and understanding convolutional networks [pdf]
- mNeuron: a Matlab plugin to visualize neurons from deep models [html]
- Deep visualization toolbox [code]
- 3D visualization of a convolutional neural network [demo]
- Understanding neural networks through deep visualization [html]
- Convolutional neural networks for visual recognition [html]
2015 Deep Dream: visualizing every layer of GoogLeNet [html]2016 Visualization of deep convolutional neural networks [pdf]
- Articles
2016.03 Deep learning in medical imaging: the not-so-near future [html]2016.04 Deep learning used to assist overburdened diagnosticians [html]2016.08 AI startups in Healthcare [html]2016.09 Machine Intelligence in Medical Imaging Conference – Report [html]2016.09 The role of AI in Healthcare [html]2016.09 DeepMind wants its healthcare AI to charge by results - but first it needs your data [html]2016.09 Microsoft announces new AI-powered health care initiatives targeting cancer [html]2016.09 Why deep learning is suddenly changing your life [html]2016.10 We’ll Soon Trust AI More Than Doctors to Diagnose Disease [html]2016.11 입 모양으로 자막 넣는 딥러닝 기술 [html]
- Link
- Topic
TensorFlow
- Tutorials
- Open-source TensorFlow Implementation
2015 Deep Neural Networks: a new fraomework for modeling biological vision and brain information processing [pdf]
Deep learning for Neuron Segmentation
- Electron Microscopy
2013 Large-scale automatic reconstruction of neuroanl processes from electron microscopy images [pdf]2016 Deep learning trends for focal brain pathology segmentation in MRI [pdf]
Deep learning for Brain Tumor Segmentation
- CODE
- ISBI 2012 brain EM image segmentation [github]
- Efficient multi-scale 3D convolution neural network for brain lesion segmentation [github]
- MRI
2012 A comparative study of MRI data using various Machine Learning and pattern recognition algorithms to Detect Brain Abnormalities [pdf] = A novel machine learning approach for detecting the Brain Abnormalities from MRI structural images [html]2014 Survey of intelligent methods for Brain Tumor Detection [pdf]2015 Brain tumor detection and segmentation in multisequence MRI [pdf]2015 Automated glioma segmentation in MRI using deep convolutional networks [pdf]2015 Learning with Difference of Gaussian Features in the 3D Segmentation of Glioblastoma Brain Tumors [pdf]2015 Multi-scale 3D convolutional neural networks for lesion segmentation in brain MRI [pdf]2015 MICCAI-BRATS 2015 proceedings [pdf]
- Structured prediction with convolutional neural networks for multimodal brain tumor segmentation
- A convolutional neural network approach to brain tumor segmentation
- Multimodal brain tumor segmentation (BRATS) using Sparse Coding and 2-layer Neural Network
- Deep convolutional neural networks for the segmentation of gliomas in multi-sequence MRI
- Brain tumor segmentation with Deep Learning
- Multi-modal brain tumor segmentation using Stacked Denoising Autoencoders
2015 Brain tumor detection and classification using deep learning classifier on MRI images [html]2015 Detection and segmentation of brain metastases with deep convolutional networks [pdf]2015 Deep Feature Learning with discrimination mechanism for brain tumor segmentation and diagnosis [pdf]2015 Plos One Automated glioblastoma segmentation based on a multiparametric structured unsupervised classification [pdf]2015 CVPR Deep neural networks for anatomical brain segmentation [pdf]2016 Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images [pdf]2016 Stanford Report A new algorithm for fully automatic brain tumor segmentation with 3D convolutional Neural Networks [pdf]2016 On image segmentation methods applied to glioblastoma: state of art and new trends [pdf]2016 Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation [pdf]
- Pathology
2012 Deep Neural Networks segment neuronal membranes in electron Microscopy images [pdf]
Deep learning for Brain Tumor Grading
- MRI
2015 IEEE EMBS Brain tumor grading based on neural networks and convolutional neural netsworks [pdf]2016 Comput Math Methods Med Multiscale CNNs for brain tumor segmentation and diagnosis [pdf]
- PET
2016 Convolutional neural network can help differentiate FDG PET images of brain tumor between glioblastoma and primary central nervous system lymphoma [html
- Brain pathology images
2015 Automated grading of gliomas using deep learning in digital pathology images: a modular approach with ensemble of convolutional neural networks [pdf]
- Prostate/chest pathology images
2016 Nature Sci.Rep. Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis [pdf]2015 Deep learning with non-medical training used for chest pathology identification [pdf]
