Rapid and flexible segmentation of electron microscopy data using few-shot machine learning

Plasma Hsp90 levels in patients with systemic sclerosis and relation to lung and skin involvement: a cross-sectional and longitudinal study

(2021) Hana Štorkánová et al.   Scientific Reports

Exploring order parameters and dynamic processes in disordered systems via variational autoencoders

(2021) Sergei V. Kalinin et al.   Science Advances

Probing atomic-scale symmetry breaking by rotationally invariant machine learning of multidimensional electron scattering

(2021) Mark P. Oxley et al.   npj Computational Materials

Oxygen vacancies: The (in)visible friend of oxide electronics

(2020) F. Gunkel et al.   APPLIED PHYSICS LETTERS

Adaptive characterization of microstructure dataset using a two stage machine learning approach

(2020) Arun Baskaran et al.   COMPUTATIONAL MATERIALS SCIENCE

An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction

(2020) Elizabeth Kautz et al.   MATERIALS CHARACTERIZATION

Microstructure Instance Segmentation from Aluminum Alloy Metallographic Image Using Different Loss Functions

(2020) Dali Chen et al.   Symmetry-Basel

Understanding important features of deep learning models for segmentation of high-resolution transmission electron microscopy images

(2020) James P. Horwath et al.   npj Computational Materials

Image-driven discriminative and generative machine learning algorithms for establishing microstructure–processing relationships

(2020) W. Ma et al.   JOURNAL OF APPLIED PHYSICS

Towards data-driven next-generation transmission electron microscopy

(2020) Steven R. Spurgeon et al.   NATURE MATERIALS

Race against the Machine: can deep learning recognize microstructures as well as the trained human eye?

(2020) Michiel Larmuseau et al.   SCRIPTA MATERIALIA

Deep learning analysis of defect and phase evolution during electron beam-induced transformations in WS2

(2019) Artem Maksov et al.   npj Computational Materials

High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel

(2019) Brian L. DeCost et al.   MICROSCOPY AND MICROANALYSIS

Hole-induced electronic and optical transitions in La1−xSrxFeO3 epitaxial thin films

(2019) Le Wang et al.   PHYSICAL REVIEW MATERIALS

A machine learning approach to thermal conductivity modeling: A case study on irradiated uranium-molybdenum nuclear fuels

(2019) Elizabeth J. Kautz et al.   COMPUTATIONAL MATERIALS SCIENCE

Decoding crystallography from high-resolution electron imaging and diffraction datasets with deep learning

(2019) J. A. Aguiar et al.   Science Advances

Advanced Steel Microstructural Classification by Deep Learning Methods

(2018) Seyed Majid Azimi et al.   Scientific Reports

The Hessian Blob Algorithm: Precise Particle Detection in Atomic Force Microscopy Imagery

(2018) Brendan P. Marsh et al.   Scientific Reports

Interface Engineering and Emergent Phenomena in Oxide Heterostructures

(2018) Zhen Huang et al.   ADVANCED MATERIALS

A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning

(2018) Shafin Rahman et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Layer-resolved band bending at the n−SrTiO3(001)/p−Ge(001) interface

(2018) Y. Du et al.   PHYSICAL REVIEW MATERIALS

A mixed-scale dense convolutional neural network for image analysis

(2017) Daniël M. Pelt et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The impact of STEM aberration correction on materials science

(2017) Stephen J. Pennycook   ULTRAMICROSCOPY

Low Data Drug Discovery with One-Shot Learning

(2017) Han Altae-Tran et al.   ACS Central Science

Image driven machine learning methods for microstructure recognition

(2016) Aritra Chowdhury et al.   COMPUTATIONAL MATERIALS SCIENCE

Phases and Interfaces from Real Space Atomically Resolved Data: Physics-Based Deep Data Image Analysis

(2016) Rama K. Vasudevan et al.   NANO LETTERS

1,500 scientists lift the lid on reproducibility

(2016) Monya Baker   NATURE

Ultra-high resolution electron microscopy

(2016) Mark P Oxley et al.   REPORTS ON PROGRESS IN PHYSICS

Materials Data Science: Current Status and Future Outlook

(2015) Surya R. Kalidindi et al.   Annual Review of Materials Research

A computer vision approach for automated analysis and classification of microstructural image data

(2015) Brian L. DeCost et al.   COMPUTATIONAL MATERIALS SCIENCE

Aberration-corrected scanning transmission electron microscopy for atomic-resolution studies of functional oxides

(2014) Ian MacLaren et al.   INTERNATIONAL MATERIALS REVIEWS

scikit-image: image processing in Python

(2014) Stéfan van der Walt et al.   PeerJ

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Point Defects in Oxides: Tailoring Materials Through Defect Engineering

(2011) Harry L. Tuller et al.   Annual Review of Materials Research