7 citations · 8 across the 4 of their papers we have counts for
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How well do routinely collected demographic and clinical variables aid point-of-care lung ultrasound TB classification
Joshua M. Jansen van Vüren, Christiaan M. Geldenhuys, Devendra S. Parihar +7
We consider the fusion of lung ultrasound images with routinely-collected clinical and demographic data for the purpose of automated tuberculosis (TB) screening using deep-learning…
Wrong Organ, Right Physics: Transferring Echocardiography Pretraining to Lung Ultrasound for Tuberculosis Screening
Christiaan M. Geldenhuys, Joshua M. Jansen van Vüren, Véronique Suttels +6
Lung ultrasound (LUS) is attractive for tuberculosis (TB) screening at primary-care level, but labelled cohorts are small. Echocardiography carries no such constraint, while sharin…
A Parameter-Free Few-Shot Evaluation for Elephant Vocalisation Classification
Christiaan M. Geldenhuys, Thomas R. Niesler
We present a parameter-free episodic evaluation of nearest-centroid classification of elephant vocalisations on fixed pretrained embeddings, for the Elephant Voices (EV) and Lingui…
From Birdsong to Rumbles: Classifying Elephant Calls with Out-of-Species Embeddings
Christiaan M. Geldenhuys, Thomas R. Niesler
We show that pretrained acoustic embeddings classify elephant vocalisations at a level approaching that of end-to-end supervised neural networks, without any fine-tuning of the emb…