Generating segmentation masks of herbarium specimens and a data set for training segmentation models using deep learning

Toward a large‐scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras

(2019) Titouan Lorieul et al.   Applications in Plant Sciences

Leveraging Image Analysis for High-Throughput Plant Phenotyping

(2019) Sruti Das Choudhury et al.   Frontiers in Plant Science

The Changing Uses of Herbarium Data in an Era of Global Change: An Overview Using Automated Content Analysis

(2019) J Mason Heberling et al.   BIOSCIENCE

Nipple Segmentation and Localization Using Modified U-Net on Breast Ultrasound Images

(2019) Zhemin Zhuang et al.   Journal of Medical Imaging and Health Informatics

The unrealized potential of herbaria for global change biology

(2018) Emily K. Meineke et al.   ECOLOGICAL MONOGRAPHS

Overlooked climate parameters best predict flowering onset: assessing phenological models using the elastic net

(2018) Isaac W. Park et al.   GLOBAL CHANGE BIOLOGY

Museum specimens provide novel insights into changing plant–herbivore interactions

(2018) Emily K. Meineke et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Widespread sampling biases in herbaria revealed from large-scale digitization

(2017) Barnabas H. Daru et al.   NEW PHYTOLOGIST

Old Plants, New Tricks: Phenological Research Using Herbarium Specimens

(2017) Charles G. Willis et al.   TRENDS IN ECOLOGY & EVOLUTION

PlantCV v2: Image analysis software for high-throughput plant phenotyping

(2017) Malia A. Gehan et al.   PeerJ

A statistical estimator for determining the limits of contemporary and historic phenology

(2017) William D. Pearse et al.   Nature Ecology & Evolution

Computer vision applied to herbarium specimens of German trees: testing the future utility of the millions of herbarium specimen images for automated identification

(2016) Jakob Unger et al.   BMC EVOLUTIONARY BIOLOGY

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

(2016) Pim Moeskops et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Machine Learning for High-Throughput Stress Phenotyping in Plants

(2016) Arti Singh et al.   TRENDS IN PLANT SCIENCE

Herbarium records are reliable sources of phenological change driven by climate and provide novel insights into species' phenological cueing mechanisms

(2015) Charles C. Davis et al.   AMERICAN JOURNAL OF BOTANY

Deep learning

(2015) Yann LeCun et al.   NATURE

Easy Leaf Area: Automated Digital Image Analysis for Rapid and Accurate Measurement of Leaf Area

(2014) Hsien Ming Easlon et al.   Applications in Plant Sciences

The evolution, morphology, and development of fern leaves

(2013) Alejandra Vasco et al.   Frontiers in Plant Science

NIH Image to ImageJ: 25 years of image analysis

(2012) Caroline A Schneider et al.   NATURE METHODS

Allometry of Sexual Size Dimorphism in Dioecious Plants: Do Plants Obey Rensch’s Rule?

(2011) P. H. Kavanagh et al.   AMERICAN NATURALIST

Evolutionary size changes in plants of the south-west Pacific

(2011) Kevin C. Burns et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY