Carlos Arteta

TL;DR: The scenario of learning to count multiple instances of objects from images that have been dot-annotated through crowdsourcing, for which tens of thousands of volunteer annotators have placed dots on instances of penguins in tens of Thousands of images, is explored.

TL;DR: A machine learning-based cell detection method applicable to different modalities and state-of-the-art cell detection accuracy is achieved for H&E stained histology, fluorescence, and phase-contrast images.

TL;DR: This work targets the regime where individual object detectors do not work reliably due to crowding, or overlap, or size of the instances, and takes the approach of estimating an object density.

TL;DR: The LCP-CNN score has better discrimination and allows a larger proportion of benign nodules to be identified without missing cancers than the Brock model, which has the potential to substantially reduce the proportion of surveillance CT scans required and thus save significant resources.

TL;DR: A clinical study to evaluate the accuracy and the proportion of time that heart rate and respiratory rate can be estimated from preterm infants using only a video camera in a clinical environment, without interfering with regular patient care and proposes signal quality assessment algorithms to discriminate between clinically acceptable and noisy signals.