Found: 20
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Sparse Scanning Electron Microscopy Data Acquisition and Deep Neural Networks for Automated Segmentation in Connectomics.
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- Microscopy & Microanalysis, 2020, v. 26, n. 3, p. 403, doi. 10.1017/S1431927620001361
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- Article
Blob-based Algebraic Reconstruction Technique for Computed Laminography.
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- 2019
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- Publication type:
- Abstract
Fact or Fiction: Maximal Image Quality with Minimal Dwell Time.
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- Microscopy & Microanalysis, 2019, p. 480, doi. 10.1017/S1431927618002891
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- Article
Exemplar-Based Inpainting Based on Dictionary Learning for Sparse Scanning Electron Microscopy.
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- 2019
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- Abstract
Sparse and Adaptive Sampling in Scanning Electron Microscopy.
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- 2019
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- Abstract
Blob-based Algebraic Reconstruction Technique for Computed Laminography.
- Published in:
- 2018
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- Publication type:
- Abstract
Exemplar-Based Inpainting Based on Dictionary Learning for Sparse Scanning Electron Microscopy.
- Published in:
- 2018
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- Publication type:
- Abstract
Fact or Fiction: Maximal Image Quality with Minimal Dwell Time.
- Published in:
- 2018
- By:
- Publication type:
- Abstract
High-Throughput Large Volume SEM Workflow using Sparse Scanning and Inpainting Algorithms Inspired by Compressive Sensing.
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- Microscopy & Microanalysis, 2017, v. 23, p. 150, doi. 10.1017/S143192761700143X
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- Article
Marker Detection in Electron Tomography: A Comparative Study.
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- Microscopy & Microanalysis, 2015, v. 21, n. 6, p. 1591, doi. 10.1017/S1431927615015433
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- Article
TFS: Combined Tilt- and Focal Series Scanning Transmission Electron Microscopy.
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- Microscopy & Microanalysis, 2014, v. 20, n. S3, p. 786, doi. 10.1017/S1431927614005650
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- Publication type:
- Article
Combined Scanning Transmission Electron Microscopy Tilt- and Focal Series.
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- Microscopy & Microanalysis, 2014, v. 20, n. 2, p. 548, doi. 10.1017/S1431927614000075
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- Article
Feature Adaptive Sampling for Scanning Electron Microscopy.
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- Scientific Reports, 2016, p. 25350, doi. 10.1038/srep25350
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- Article
Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling.
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- Crystals (2073-4352), 2021, v. 11, n. 3, p. 258, doi. 10.3390/cryst11030258
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- Article
A GPU-based caching strategy for multi-material linear elastic FEM on regular grids.
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- PLoS ONE, 2020, v. 15, n. 10, p. 1, doi. 10.1371/journal.pone.0240813
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- Article
Digital reality: a model-based approach to supervised learning from synthetic data.
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- AI Perspectives, 2019, v. 1, n. 1, p. N.PAG, doi. 10.1186/s42467-019-0002-0
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- Article
An algorithmic strategy for the simulation of bone healing directly on computed tomography data.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2015, v. 15, n. 1, p. 105, doi. 10.1002/pamm.201510043
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- Article
Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets.
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- Applied Sciences (2076-3417), 2021, v. 11, n. 5, p. 2199, doi. 10.3390/app11052199
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- Article
Less than full circumferential fusion of a tibial nonunion is sufficient to achieve mechanically valid fusion - Proof of concept using a finite element modeling approach.
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- BMC Musculoskeletal Disorders, 2014, v. 15, n. 1, p. 523, doi. 10.1186/1471-2474-15-434
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- Article
Combined Tilt- and Focal-Series Tomography for HAADF-STEM.
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- Microscopy Today, 2016, v. 24, n. 3, p. 26, doi. 10.1017/S1551929516000328
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- Article