Accuracy of an articulated head-and-neck motion model using deep learning-based instance segmentation of skeletal bones in CT scans for image registration in radiotherapy by Alexandra Walter, Cornelius J. Bauer, Ama Katseena Yawson, Philipp Hoegen-Saßmannshausen, Sebastian Adeberg, Jürgen Debus, Oliver Jäkel, Martin Frank, Kristina Giske

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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An in vivo imaging study of fascia thickness and muscle volume in the lower limb of healthy adult humans by M. Randika Perera, Paul Condron, Geoffrey Handsfield

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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Graph cut-based segmentation for intervertebral disc in human MRI by Leena Silvoster, R. Mathusoothan S. Kumar

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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Enhancing diabetic retinopathy classification accuracy through dual-attention mechanism in deep learning by Abdul Hannan, Zahid Mahmood, Rizwan Qureshi, Hazrat Ali

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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Assessment of scapular position measurement using ultrasound sensors to correct skin to bone artifacts from skin mounted motion capture by Anthony Vicini, Michelle B. Sabick

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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Statistical shape model-based automatic evaluation and validation of anatomical measures on healthy femur shapes from limited field of view imaging by Jasper Kwasny, Cynthia Fantini Pagani, Uwe G. Kersting, Bhushan Borotikar

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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HiGMA-DADCN: Hirudinaria granulosa multitropic algorithm optimised double attention enabled deep convolutional neural network for psoriasis classification by Soumya C S, Jayanna H S

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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Improved CNN architecture for automated classification of skin diseases by G. Divya Deepak, Subraya Krishna Bhat, Arupratan Gupta

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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RStoolbox: An R package for remote sensing data analysis by Konstantin Müller, Jakob Schwalb‐Willmann, Martin Wegmann, Benjamin Leutner

“…Therefore, it is crucial to not only gather data but also to analyse, visualize and present the findings. rstoolbox R package offers a suite of functions for (a) preprocessing, (b) analysis and (c) visualization of (multi‐band) remote sensing data, implementing state‐of‐the‐art methods such as unsupervised and supervised classification, or spectral unmixing or change vector analysis. …”
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Migration Mapper: Identifying movement corridors and seasonal ranges for large mammal conservation by Jerod A. Merkle, Josh Gage, Hall Sawyer, Blake Lowrey, Matthew J. Kauffman

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Wellcounter: Automated high‐throughput phenotyping for aquatic microinvertebrates by Claus‐Peter Stelzer, Dominique Groffman

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Combining Unity with machine vision to create low latency, flexible and simple virtual realities by Yuri Ogawa, Raymond Aoukar, Richard Leibbrandt, Jake S. Manger, Zahra M. Bagheri, Luke Turnbull, Chris Johnston, Pavan K. Kaushik, Jaxon Mitchell, Jan M. Hemmi, Karin Nordström

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Area integrity index with random rearrangement (AIIRR): A new concept for quantifying disruptive colorations by Masahiko Tanahashi, Min‐Chen Lin, Chung‐Ping Lin

“…Abstract Disruptive coloration is one of the camouflaging strategies that use conspicuous coloration patterns to destroy the visual integrity of an object and interfere with the observer's visual perception. …”
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AngleCam: Predicting the temporal variation of leaf angle distributions from image series with deep learning by Teja Kattenborn, Ronny Richter, Claudia Guimarães‐Steinicke, Hannes Feilhauer, Christian Wirth

“…However, there is no efficient method for tracking leaf angles of plant canopies under field conditions. …”
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FEISTY Fortran library and R package to integrate fish and fisheries with biogeochemical models by Yixin Zhao, P. Daniël vanDenderen, Rémy Denéchère, Jonathan E. Falciani, Nis S. Jacobsen, Themistoklis Konstantinopoulos, Daniel Ottmann, Colleen M. Petrik, Karline Soetaert, Charles A. Stock, Ken H. Andersen

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Handbook of protocols for standardized measurements of floral traits for pollinators in temperate communities by Alice Michelot‐Antalik, Alban Langlois, Francesco deBello, James Desaegher, Léa Genty, Jérémie Goulnik, Jérémy Grosjean, Anne‐Laure Jacquemart, Alan Kergunteuil, Robert R. Junker, Léna Jeannerod, Jean‐François Odoux, Magali Proffit, Bertrand Schatz, Maryse Vanderplanck, Anna E‐Vojtkó, Mathilde Baude

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ecochange: An R‐package to derive ecosystem change indicators from freely available earth observation products by Wilson Lara, Maria C. Londoño, Ivan Gonzalez, Victor H. Gutierrez‐Velez

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Understanding the reliability of citizen science observational data using item response models by Edgar Santos‐Fernandez, Kerrie Mengersen

“…We found that the suggested methods outperform the traditional item response models in terms of RMSE, accuracy and WAIC, based on leave‐one‐out cross‐validation on simulated and empirical data. …”
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Rapid ecological data collection from 360‐degree imagery using visualisation and immersive sampling in the R pannotator package by Robert Godfree, Nunzio Knerr

“…Advances in 360‐degree (panospheric) camera technology now allow the collection of geospatially explicit visual records of ecological properties far more cheaply, quickly and efficiently than traditional field survey methods. …”
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Beneath the buzz: Quantifying nest locations and densities of ground‐nesting wild bees (Hymenoptera: Anthophila) by Christopher Hellerich, Alexandra‐Maria Klein, Michael Garratt, Michael Mix, Anne‐Christine Mupepele, Felix Fornoff

“…Methods ranging from established field methods (visual nest observations and emergence traps) to new technological approaches (marking and tracking individuals) are compared in terms of success in catching nesting bees and identifying nest locations, time effort required to implement the methods, and limitations. …”
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