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Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy

ACS nano, 2021-08, Vol.15 (8), p.12604-12627

2021

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Classifying cancer pathology reports with hierarchical self-attention networks

Artificial intelligence in medicine, 2019-11, Vol.101, p.101726-101726, Article 101726

2019

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Seamless Communication Between High-Performance Computing System and Electron Microscopes for On-Demand Automated Data Transfer and Remote Control

Microscopy and microanalysis, 2022-08, Vol.28 (S1), p.2908-2910

2022

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Deep Learning on Multimodal Chemical and Whole Slide Imaging Data for Predicting Prostate Cancer Directly from Tissue Images

Journal of the American Society for Mass Spectrometry, 2023-02, Vol.34 (2), p.227-235

2023

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Effect of image resolution on automated classification of chest X-rays

Journal of medical imaging (Bellingham, Wash.), 2023-07, Vol.10 (4), p.044503-044503

2023

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Automated detection of corrosion in used nuclear fuel dry storage canisters using residual neural networks

Nuclear Engineering and Technology, 2021, 53(2), , pp.657-665

2021

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Wide neural networks with bottlenecks are deep Gaussian processes

Journal of machine learning research, 2020-09, Vol.21 (175)

2020

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Intrinsic Polynomials for Regression on Riemannian Manifolds

Journal of mathematical imaging and vision, 2014, Vol.50 (1-2), p.32-52

2014

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Distributed Bayesian optimization of deep reinforcement learning algorithms

Journal of parallel and distributed computing, 2020-05, Vol.139 (C), p.43-52

2020

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Challenges in Markov Chain Monte Carlo for Bayesian Neural Networks

Statistical science, 2022-08, Vol.37 (3), p.425

2022

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Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation

IEEE transactions on geoscience and remote sensing, 2022-01, Vol.60 (-), p.1-18

2022

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Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferroelectrics

ACS nano, 2021-07, Vol.15 (7), p.11253-11262

2021

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Lossless Deep Image Compression at the Edge for 3D Electron Microscopy

Microscopy and microanalysis, 2021-08, Vol.27 (S1), p.472-473

2021

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Hierarchical Geodesic Models in Diffeomorphisms

International journal of computer vision, 2016-03, Vol.117 (1), p.70-92

2016

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A review on recent machine learning applications for imaging mass spectrometry studies

Journal of applied physics, 2023-01, Vol.133 (2)

2023

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Efficient Memory Storage and Linear Parallel Scaling for Large-Scale Electron Ptychography

Microscopy and microanalysis, 2022-08, Vol.28 (S1), p.3104-3106

2022

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4D CT image reconstruction with diffeomorphic motion model

Medical image analysis, 2012-08, Vol.16 (6), p.1307-1316

2012

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Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy

ACS nano, 2021-07, Vol.15 (8)

2021

Volltextzugriff (PDF)

A review on recent machine learning applications for imaging mass spectrometry studies

Journal of Applied Physics, 2023-01, Vol.133 (2)

2023

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Automated Experiment in SPM: Bayesian Optimization for efficient searching of parameter space to maximize functional response

Microscopy and microanalysis, 2021-08, Vol.27 (S1), p.470-471

2021

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Lossless Image Compression for 4D-STEM Datasets

Microscopy and microanalysis, 2022-08, Vol.28 (S1), p.3060-3061

2022

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A vector momenta formulation of diffeomorphisms for improved geodesic regression and atlas construction

2013 IEEE 10th International Symposium on Biomedical Imaging, 2013, Vol.2013, p.1219-1222

2013

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IDiff: irrotational diffeomorphisms for computational anatomy

Information processing in medical imaging : proceedings of the ... conference, 2013, Vol.23, p.754

2013

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A map estimation algorithm for Bayesian polynomial regression on riemannian manifolds

2017 IEEE International Conference on Image Processing (ICIP), 2017, p.215-219

2017

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Convolutional neural network based non-iterative reconstruction for accelerating neutron tomographyThis manuscript has been authored by UT-Battelle, LLC, under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allo

Machine learning: science and technology, 2021-06, Vol.2 (2)

2021

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Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy

Classifying cancer pathology reports with hierarchical self-attention networks

Seamless Communication Between High-Performance Computing System and Electron Microscopes for On-Demand Automated Data Transfer and Remote Control

Deep Learning on Multimodal Chemical and Whole Slide Imaging Data for Predicting Prostate Cancer Directly from Tissue Images

Effect of image resolution on automated classification of chest X-rays

Automated detection of corrosion in used nuclear fuel dry storage canisters using residual neural networks

Wide neural networks with bottlenecks are deep Gaussian processes

Intrinsic Polynomials for Regression on Riemannian Manifolds

Distributed Bayesian optimization of deep reinforcement learning algorithms

Challenges in Markov Chain Monte Carlo for Bayesian Neural Networks

Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation

Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferroelectrics

Lossless Deep Image Compression at the Edge for 3D Electron Microscopy

Hierarchical Geodesic Models in Diffeomorphisms

A review on recent machine learning applications for imaging mass spectrometry studies

Efficient Memory Storage and Linear Parallel Scaling for Large-Scale Electron Ptychography

4D CT image reconstruction with diffeomorphic motion model

Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy

A review on recent machine learning applications for imaging mass spectrometry studies

Automated Experiment in SPM: Bayesian Optimization for efficient searching of parameter space to maximize functional response

Lossless Image Compression for 4D-STEM Datasets

A vector momenta formulation of diffeomorphisms for improved geodesic regression and atlas construction

IDiff: irrotational diffeomorphisms for computational anatomy

A map estimation algorithm for Bayesian polynomial regression on riemannian manifolds

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