Leandra Brickson
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View article: An Automated Pipeline for Few-Shot Bird Call Classification: A Case Study with the Tooth-Billed Pigeon
An Automated Pipeline for Few-Shot Bird Call Classification: A Case Study with the Tooth-Billed Pigeon Open
This paper presents an automated one-shot bird call classification pipeline designed for rare species absent from large publicly available classifiers like BirdNET and Perch. While these models excel at detecting common birds with abundant…
View article: Whole-Herd Elephant Pose Estimation from Drone Data for Collective Behavior Analysis
Whole-Herd Elephant Pose Estimation from Drone Data for Collective Behavior Analysis Open
This research represents a pioneering application of automated pose estimation from drone data to study elephant behavior in the wild, utilizing video footage captured from Samburu National Reserve, Kenya. The study evaluates two pose esti…
View article: Elephants and algorithms: a review of the current and future role of AI in elephant monitoring
Elephants and algorithms: a review of the current and future role of AI in elephant monitoring Open
Artificial intelligence (AI) and machine learning (ML) present revolutionary opportunities to enhance our understanding of animal behaviour and conservation strategies. Using elephants, a crucial species in Africa and Asia’s protected area…
View article: Elephants and Algorithms: A Review of the Current and Future Role of AI in Elephant Monitoring
Elephants and Algorithms: A Review of the Current and Future Role of AI in Elephant Monitoring Open
Artificial intelligence (AI) and machine learning (ML) present revolutionary opportunities to enhance our understanding of animal behavior and conservation strategies. Using elephants, a crucial species in Africa's protected areas, as our …
View article: Separation of mainlobe and sidelobe contributions to B-mode ultrasound images based on the aperture spectrum
Separation of mainlobe and sidelobe contributions to B-mode ultrasound images based on the aperture spectrum Open
The mainlobe contribution to the ultrasound image can be isolated based on the receive aperture spectrum, which greatly reduces the computational cost and memory requirement of this approach as compared with MIST.
View article: Bioacoustic Event Detection with Self-Supervised Contrastive Learning
Bioacoustic Event Detection with Self-Supervised Contrastive Learning Open
While deep learning has revolutionized ecological data analysis, existing strategies often rely on supervised learning, which is subject to limitations on real-world applicability. In this paper, we apply self-supervised deep learning meth…
View article: Distributed Aberration Correction Techniques Based on Tomographic Sound Speed Estimates
Distributed Aberration Correction Techniques Based on Tomographic Sound Speed Estimates Open
Phase aberration is widely considered a major source of image degradation in medical pulse-echo ultrasound. Traditionally, near-field phase aberration correction techniques are unable to account for distributed aberrations due to a spatial…
View article: Reverberation Noise Suppression in Ultrasound Channel Signals Using a 3D Fully Convolutional Neural Network
Reverberation Noise Suppression in Ultrasound Channel Signals Using a 3D Fully Convolutional Neural Network Open
Diffuse reverberation is ultrasound image noise caused by multiple reflections of the transmitted pulse before returning to the transducer, which degrades image quality and impedes the estimation of displacement or flow in techniques such …
View article: Nondestructive Detection of Targeted Microbubbles Using Dual-Mode Data and Deep Learning for Real-Time Ultrasound Molecular Imaging
Nondestructive Detection of Targeted Microbubbles Using Dual-Mode Data and Deep Learning for Real-Time Ultrasound Molecular Imaging Open
Ultrasound molecular imaging (UMI) is enabled by targeted microbubbles (MBs), which are highly reflective ultrasound contrast agents that bind to specific biomarkers. Distinguishing between adherent MBs and background signals can be challe…
View article: Beamforming and Speckle Reduction Using Neural Networks
Beamforming and Speckle Reduction Using Neural Networks Open
With traditional beamforming methods, ultrasound B-mode images contain speckle noise caused by the random interference of subresolution scatterers. In this paper, we present a framework for using neural networks to beamform ultrasound chan…
View article: Producing true-color rainbows with patterned multi-layer liquid-crystal polarization gratings
Producing true-color rainbows with patterned multi-layer liquid-crystal polarization gratings Open
We present the technical design of the art installation Rainbow Station, that projects a 40-m diameter true-color rainbow.The core technology is comprised of a patterned polarization grating that produces the rainbow with the correct shape…