Deep Learning Publication Navigator - subtopic: microscopy


Year TitleAuthor
2017   Deep Learning Segmentation of Optical Microscopy Images Improves 3D Neuron Reconstruction  R Li, T Zeng, S Ji
2017   DeadNet: Identifying Phototoxicity from Label-free Microscopy Images of Cells using Deep ConvNets  D Richmond, APT Jost, T Lambert, J Waters, H Elliott
2017   Transferring Microscopy Image Modalities with Conditional Generative Adversarial Networks  L Han, Z Yin
2017   Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis  G Carneiro, Y Zheng, F Xing, L Yang
2017   Focus classification in digital holographic microscopy using deep convolutional neural networks  T Pitkäaho, A Manninen, TJ Naughton
2017   A Deep Learning Approach to Estimate Chemically-Treated Collagenous Tissue Nonlinear Anisotropic Stress-Strain Responses from Microscopy Images  L Liang, M Liu, W Sun
2017   Deep convolutional neural networks for detecting secondary structures in protein density maps from cryo-electron microscopy  R Li, D Si, T Zeng, S Ji, J He
2017   Deep Learning in Microscopy Image Analysis: A Survey  F Xing, Y Xie, H Su, F Liu, L Yang 
2017   Deep Learning Bi-telecentric Digital Holographic Microscopy for Aberration Compensation Applied to Cancer Cells  T Nguyen, V Bui, D Tran, G Nehmetallah
2017   Performance of Autofocus Capability of Deep Convolutional Neural Networks in Digital Holographic Microscopy  T Pitkäaho, A Manninen, TJ Naughton
2017   Deep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations  M Ziatdinov, O Dyck, A Maksov, X Li, X Sang, K Xiao 
2017   Deep learning enhanced mobile-phone microscopy  Y Rivenson, HC Koydemir, H Wang, Z Wei, Z Ren 
2017   Spatiotemporal Joint Mitosis Detection Using CNN-LSTM Network in Time-Lapse Phase Contrast Microscopy Images  YT Su, Y Lu, M Chen, AA Liu
2017   A machine learning approach to the unsupervised segmentation of mitochondria in subcellular electron microscopy data  J Dietlmeier
2017   Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention  A Bozkurt, K Kose, J Coll
2017   MIMO-Net: A multi-input multi-output convolutional neural network for cell segmentation in fluorescence microscopy images  SEA Raza, L Cheung, D Epstein, S Pelengaris, M Khan
2017   Automatic phase aberration compensation for digital holographic microscopy based on deep learning background detection  T Nguyen, V Bui, V Lam, CB Raub, LC Chang
2017   Automated analysis of high‐content microscopy data with deep learning  OZ Kraus, BT Grys, J Ba, Y Chong, BJ Frey, C Boone
2017   Microscopy Cell Segmentation via Adversarial Neural Networks  A Arbelle, TR Raviv
2017   Analyzing Digital Holographic Microscopy Data for Hematology Applications  N El
2017   Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks  M Weigert, L Royer, F Jug, G Myers
2017   Deep Learning for Isotropic Super-Resolution from Non-Isotropic 3D Electron Microscopy  L Heinrich, JA Bogovic, S Saalfeld
2017   Deep Learning Microscopy  Y Rivenson, Z Gorocs, H Gunaydin, Y Zhang, H Wang
2016   Cytopathological image analysis using deep-learning networks in microfluidic microscopy  G Gopakumar, KH Babu, D Mishra, SS Gorthi
2016   A deep learning approach to single-particle recognition in cryo-electron microscopy  Y Zhu, Q Ouyang, Y Mao
2016   Brain tumor classification of microscopy images using deep residual learning  Y Ishikawa, K Washiya, K Aoki, H Nagahashi
2016   Scalable algorithms for semi-automatic segmentation of electron microscopy images of the brain tissue  A Zlateski
2016   Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation  P Teikari, M Santos, C Poon, K Hynynen
2016   Image Analysis and Deep Learning for Applications in Microscopy  O Ishaq
2016   Microscopy cell counting and detection with fully convolutional regression networks  W Xie, JA Noble, A Zisserman
2015   An Iterative Convolutional Neural Network Algorithm Improves Electron Microscopy Image Segmentation  X Wu
2015   Computational imaging: Machine learning for 3D microscopy  L Waller, L Tian
2015   Microscopy Cell Counting with Fully Convolutional Regression Networks  W Xie, JA Noble, A Zisserman
2015   Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning  OZ Kraus, LJ Ba, B Frey
2015   Cell recognition based on topological sparse coding for microscopy imaging of focused ultrasound treatment  Z Wang, J Zhu, Y Xue, C Song, N Bi