Description
Posters are presented virtually, by playing a pre-recorded presentation. After each video it is possible to ask questions to the authors.
Anomaly detection can be extremely challenging in real-world situations considering the big data problem. The features that distinguish the anomalies are usually unknown. In this case, standard anomaly detection algorithms may perform very poorly because they are not being fed the correct features. Learning these features even with a few examples of anomalies is challenging. We introduce an...
Large galaxy surveys have revealed a surprising number of galaxies which have ceased (or quenched) their star-formation, seen as they were when the Universe was only half it’s current age. However, identifying large, but clean, samples of these “quiescent” galaxies has proven difficult. Their spectral shape, as measured by broad-band photometric measurements, are highly degenerate with dusty...
Workshop Relevance: For Astrophysics and the Medical/Public Health Sciences, the opportunity for machine learning to complement rule-based image routing or alert systems is shared. In this work, we demonstrate how deep learning, random forests, and an ensemble of the two can aid and improve medical image (MRI) routing systems. This work has parallels to astronomical datasets such as...
During the COVID-19 pandemic many countries have issued stay-at-home orders (SAHO) to reduce viral transmission. Because of their social and economic consequences SAHO are a politically risky decision for governments. Within the health policy literature five factors are identified as theoretically significant to the issuance of SAHO: economic, external, medical, political, social however...
Textures and patterns are ubiquitous in imaging data but
challenging for quantitative analysis. I will present a new tool, called
the “scattering transform”. It borrows ideas from convolutional neural
nets while sharing advantages of traditional statistical
estimators. As an example, I will show its application to cosmic density
maps for cosmological parameter inference and show that...
In this work, we established routines and methods for the registration of digital whole-slide histological imaging specifically focused on the challenges associated with combining multiplexed immunofluorescent imaging with immunohistochemical ones. There exist multiple platforms for whole-slide digital image registration, however, these are primarily limited to brightfield hematoxylin and...
We present CellView, a web-based image viewer built using free and open-source software components that aims to provide some of the basic functionality available in more sophisticated commercial image analysis tools used in digital pathology, such as HALO. CellView is designed as a three-tier application with a rich single-page viewer client, tile server middleware, and a SQL database storing...
