Zircon classification from cathodoluminescence images using deep learning

Quantitative evaluation of the roles of ocean chemistry and climate on ooid size across the Phanerozoic: Global versus local controls

(2022) Ardiansyah Koeshidayatullah et al.   SEDIMENTOLOGY

Automatic taxonomic identification based on the Fossil Image Dataset (>415,000 images) and deep convolutional neural networks

(2022) Xiaokang Liu et al.   PALEOBIOLOGY

Zircon U Pb geochronology and Hf isotope geochemistry of magmatic and metamorphic rocks from the Hida Belt, southwest Japan

(2021) Deung-Lyong Cho et al.   Geoscience Frontiers

Every zircon deserves a date: selection bias in detrital geochronology

(2021) Maximilian Dröllner et al.   GEOLOGICAL MAGAZINE

Automatic Fault Mapping in Remote Optical Images and Topographic Data With Deep Learning

(2021) Lionel Mattéo et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Two contrasting Neoarchean metavolcanic rock suites in eastern Hebei and their geodynamic implications for the northern North China Craton

(2021) Jinghao Fu et al.   GONDWANA RESEARCH

Predicting Geothermal Heat Flow in Antarctica With a Machine Learning Approach

(2021) M. Lösing et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Deep Relative Geologic Time: A Deep Learning Method for Simultaneously Interpreting 3‐D Seismic Horizons and Faults

(2021) Zhengfa Bi et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Fully connected deep network: An improved method to predict TOC of shale reservoirs from well logs

(2021) Dongyu Zheng et al.   MARINE AND PETROLEUM GEOLOGY

Sourcing the sand: Accessory mineral fertility, analytical and other biases in detrital U-Pb provenance analysis

(2020) David Chew et al.   EARTH-SCIENCE REVIEWS

Machine learning for point counting and segmentation of arenite in thin section

(2020) David G. Tang et al.   MARINE AND PETROLEUM GEOLOGY

Improving the taxonomy of fossil pollen using convolutional neural networks and superresolution microscopy

(2020) Ingrid C. Romero et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Fully automated carbonate petrography using deep convolutional neural networks

(2020) Ardiansyah Koeshidayatullah et al.   MARINE AND PETROLEUM GEOLOGY

A Comprehensive Survey on Transfer Learning

(2020) Fuzhen Zhuang et al.   PROCEEDINGS OF THE IEEE

Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks

(2020) Xiaokang Liu et al.   SEDIMENTARY GEOLOGY

Machine learning for data-driven discovery in solid Earth geoscience

(2019) Karianne J. Bergen et al.   SCIENCE

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

Neoproterozoic tin mineralization in South China: geology and cassiterite U–Pb age of the Baotan tin deposit in northern Guangxi

(2019) Shitao Zhang et al.   MINERALIUM DEPOSITA

Automated species-level identification of planktic foraminifera using convolutional neural networks, with comparison to human performance

(2019) R. Mitra et al.   MARINE MICROPALEONTOLOGY

Mineral grains recognition using computer vision and machine learning

(2019) Julien Maitre et al.   COMPUTERS & GEOSCIENCES

Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks

(2019) Michael Wurm et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A Neoarchean K-rich granitoid belt in the northern North China Craton

(2019) Jinghao Fu et al.   PRECAMBRIAN RESEARCH

Endless Forams: >34,000 Modern Planktonic Foraminiferal Images for Taxonomic Training and Automated Species Recognition Using Convolutional Neural Networks

(2019) Allison Y. Hsiang et al.   Paleoceanography and Paleoclimatology

Machine learning application to automatically classify heavy minerals in river sand by using SEM/EDS data

(2019) Huizhen Hao et al.   MINERALS ENGINEERING

A multi-task multi-class learning method for automatic identification of heavy minerals from river sand

(2019) Na Li et al.   COMPUTERS & GEOSCIENCES

Th/U ratios in metamorphic zircon

(2018) Chris Yakymchuk et al.   JOURNAL OF METAMORPHIC GEOLOGY

Ca. 1050 Ma intra-continental rift-related A-type felsic rocks in the southwestern Yangtze Block, South China

(2018) Wei Terry Chen et al.   PRECAMBRIAN RESEARCH

Neoarchean magmatic arc in the Western Liaoning Province, northern North China Craton: Geochemical and isotopic constraints from sanukitoids and associated granitoids

(2018) Jinghao Fu et al.   LITHOS

Evidence for hydrothermal alteration and source regions for the Kiruna iron oxide–apatite ore (northern Sweden) from zircon Hf and O isotopes

(2017) Anne Westhues et al.   GEOLOGY

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Zircon Th/U ratios in magmatic environs

(2015) C.L. Kirkland et al.   LITHOS

Detrital Zircon U-Pb Geochronology Applied to Tectonics

(2014) George Gehrels   Annual Review of Earth and Planetary Sciences

SHRIMP ZIRCON AGES AND PETROLOGY OF LOWER CRUSTAL GRANULITE XENOLITHS FROM THE LETSENG-LA-TERAE KIMBERLITE, LESOTHO: FURTHER EVIDENCE FOR A NAMAQUA-NATAL CONNECTION

(2014) H. SOMMER et al.   SOUTH AFRICAN JOURNAL OF GEOLOGY

Geochemistry of magmatic and hydrothermal zircon from the highly evolved Baerzhe alkaline granite: implications for Zr–REE–Nb mineralization

(2013) Wu-Bin Yang et al.   MINERALIUM DEPOSITA

Zircon texture and chemical composition as a guide to magmatic processes and mixing in a granitic environment and coeval volcanic system

(2009) Damien Gagnevin et al.   CONTRIBUTIONS TO MINERALOGY AND PETROLOGY

Use of U–Pb ages of detrital zircons to infer maximum depositional ages of strata: A test against a Colorado Plateau Mesozoic database

(2009) William R. Dickinson et al.   EARTH AND PLANETARY SCIENCE LETTERS

Continental and Oceanic Crust Recycling-induced Melt-Peridotite Interactions in the Trans-North China Orogen: U-Pb Dating, Hf Isotopes and Trace Elements in Zircons from Mantle Xenoliths

(2009) Y. Liu et al.   JOURNAL OF PETROLOGY