ML‐morph: A fast, accurate and general approach for automated detection and landmarking of biological structures in images

Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging

(2019) Anisha Keshavan et al.   Frontiers in Neuroinformatics

Bayesian placement of fossils on phylogenies using quantitative morphometric data

(2018) Caroline Parins-Fukuchi   EVOLUTION

How many landmarks are enough to characterize shape and size variation?

(2018) Akinobu Watanabe   PLoS One

Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach

(2018) Rémy Vandaele et al.   Scientific Reports

Deep Learning for Computer Vision: A Brief Review

(2018) Athanasios Voulodimos et al.   Computational Intelligence and Neuroscience

Arabidopsis phenotyping through geometric morphometrics

(2018) Carlos A Manacorda et al.   GigaScience

Mutation predicts 40 million years of fly wing evolution

(2017) David Houle et al.   NATURE

CrowdCurio : an online crowdsourcing platform to facilitate climate change studies using herbarium specimens

(2017) Charles G. Willis et al.   NEW PHYTOLOGIST

Challenges: Crowdsourced solutions

(2016) Eric Bender   NATURE

How many more? Sample size determination in studies of morphological integration and evolvability

(2016) Mark Grabowski et al.   Methods in Ecology and Evolution

Crowdsourced geometric morphometrics enable rapid large-scale collection and analysis of phenotypic data

(2015) Jonathan Chang et al.   Methods in Ecology and Evolution

StereoMorph: an R package for the collection of 3D landmarks and curves using a stereo camera set-up

(2015) Aaron M. Olsen et al.   Methods in Ecology and Evolution

The Next-Generation Sequencing Revolution and Its Impact on Genomics

(2013) Daniel C. Koboldt et al.   CELL

The half-life of DNA in bone: measuring decay kinetics in 158 dated fossils

(2012) M. E. Allentoft et al.   PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Algorithms to automatically quantify the geometric similarity of anatomical surfaces

(2011) D. M. Boyer et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Automatic identification of landmarks in digital images

(2010) S. Palaniswamy et al.   IET Computer Vision

Phenomics: the next challenge

(2010) David Houle et al.   NATURE REVIEWS GENETICS

A Novel 3-D Image-Based Morphological Method for Phenotypic Analysis

(2009) E. Kristensen et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING