Review: Deep Learning in Electron Microscopy

17 September 2020

Papers citing "Review: Deep Learning in Electron Microscopy"

44 / 44 papers shown

Title
Machine learning meets mass spectrometry: a focused perspective Daniil A. Boiko Valentine P. Ananikov 19 0 0 27 Jun 2024
Zero-Shot Image Denoising for High-Resolution Electron Microscopy Xuanyu Tian Zhuoya Dong Xiyue Lin Yue Gao Hongjiang Wei Yanhang Ma Jingyi Yu Yuyao Zhang 28 0 0 20 Jun 2024
Ambient Diffusion: Learning Clean Distributions from Corrupted Data Giannis Daras Kulin Shah Y. Dagan Aravind Gollakota A. Dimakis Adam R. Klivans DiffM 42 65 0 30 May 2023
Pair-Variational Autoencoders (PairVAE) for Linking and Cross-Reconstruction of Characterization Data from Complementary Structural Characterization Techniques Shizhao Lu A. Jayaraman 20 9 0 25 May 2023
Leveraging generative adversarial networks to create realistic scanning transmission electron microscopy images Abid Khan Chia-Hao Lee Pinshane Y. Huang B. Clark GAN MedIm 25 21 0 18 Jan 2023
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 26 63 0 30 Nov 2022
Interpreting deep learning output for out-of-distribution detection Damian J. Matuszewski I. Sintorn OODD 27 1 0 07 Nov 2022
Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy Images Arun Baskaran Yulin Lin J. Wen Maria K. Y. Chan UQCV 22 0 0 05 Sep 2022
Towards Augmented Microscopy with Reinforcement Learning-Enhanced Workflows Michael Xu Abinash Kumar J. Lebeau 16 7 0 04 Aug 2022
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey A. Aswath A. Alsahaf B. Giepmans George Azzopardi 25 33 0 14 Jun 2022
SAIBench: Benchmarking AI for Science Yatao Li Jianfeng Zhan 16 7 0 11 Jun 2022
Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy images Shizhao Lu Brian Montz T. Emrick A. Jayaraman 30 7 0 25 Mar 2022
$Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns$ Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns Joydeep Munshi A. Rakowski B. Savitzky Steven E. Zeltmann J. Ciston Matt Henderson S. Cholia A. Minor Maria K. Y. Chan C. Ophus 18 26 0 01 Feb 2022
Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy Claire Donnat A. Levy Frédéric Poitevin Ellen D. Zhong Nina Miolane 19 37 0 08 Jan 2022
An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics M. Olszta Derek Hopkins K. Fiedler Marjolein Oostrom Sarah Akers Steven Spurgeon 30 16 0 30 Sep 2021
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data Christina Doty Shaun Gallagher Wenqi Cui Wenya Chen Shweta Bhushan Marjolein Oostrom Sarah Akers Steven Spurgeon 16 19 0 21 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 52 94 0 01 Jul 2021
An End-to-End Computer Vision Methodology for Quantitative Metallography M. Rusanovsky O. Beeri Gal Oren 11 16 0 22 Apr 2021
Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy S. Mohan R. Manzorro Joshua L. Vincent Binh Tang D. Y. Sheth Eero P. Simoncelli David S. Matteson Peter A Crozier C. Fernandez‐Granda 22 29 0 24 Oct 2020
Towards Learning Convolutions from Scratch Behnam Neyshabur SSL 220 71 0 27 Jul 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 334 1,951 0 04 May 2020
Dynamic ReLU Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Lu Yuan Zicheng Liu 177 162 0 22 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 188 1,027 0 06 Mar 2020
Learning Complexity of Simulated Annealing Avrim Blum Chen Dan Saeed Seddighin 87 18 0 06 Mar 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 56 152 0 13 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,630 0 02 Feb 2020
Machine Learning and Big Scientific Data Tony (Anthony) John Grenville Hey K. Butler Sam Jackson Jeyarajan Thiyagalingam AI4CE 23 74 0 12 Oct 2019
2019 Evolutionary Algorithms Review A. Sloss Steven M. Gustafson 14 60 0 03 Jun 2019
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 221 1,399 0 04 Dec 2018
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 75 764 0 13 Nov 2018
Quasi-hyperbolic momentum and Adam for deep learning Jerry Ma Denis Yarats ODL 76 129 0 16 Oct 2018
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks Lechao Xiao Yasaman Bahri Jascha Narain Sohl-Dickstein S. Schoenholz Jeffrey Pennington 220 348 0 14 Jun 2018
Learning to See in the Dark Cheng Chen Qifeng Chen Jia Xu V. Koltun 184 1,165 0 04 May 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 283 10,613 0 19 Feb 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 238 3,190 0 30 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,888 0 15 Sep 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex Q. Liao T. Poggio 213 255 0 13 Apr 2016
Benefits of depth in neural networks Matus Telgarsky 133 602 0 14 Feb 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,637 0 02 Nov 2015
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,923 0 17 Aug 2015
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 102 1,152 0 04 Mar 2015
Logic Learning in Hopfield Networks S. Sathasivam W. Abdullah 51 46 0 25 Apr 2008