Clinical adoption of deep learning models has been hindered, in part, because the “black-box”
nature of neural networks leads to concerns regarding their trustworthiness and reliability. …

The intricate nature of congenital heart disease requires understanding of the complex,
patient-specific three-dimensional dynamic anatomy of the heart, from imaging data such as three…

Accurate spatial estimation of brain iron concentration in-vivo is vital to elucidate the role of
iron in neurodegenerative diseases, among other applications. However, ground truth …

This paper examines QR Codes and how they can be used to attack both human interaction
and automated systems. As the encoded information is intended to be machine readable …

This work examines QR codes and how they can be used to attack both human interaction
and automated systems. As the encoded information is intended to be machine readable only…

… Munroe—This work is independent research funded by the National Institute for Health …
Lindsay Munroe and Suryava Bhattacharya would like to acknowledge funding from the …

Evidentialism as an account of theoretical rationality is a popular and well-defended position.
However, recently, it's been argued that misleading higher-order evidence (HOE) – that is, …

According to the available research, the reasons for why general practitioners (GPs) refer to
orthopaedic surgeons are quite vast and often non-specific. However, the rate of referrals …

Maintaining forest cover and function given large-scale changes in population distribution,
infrastructure, and regional economies represents a formidable societal challenge. Land …

Clinical adoption of deep learning models has been hindered, in part, because the “black-box”
nature of neural networks leads to concerns regarding their trustworthiness and reliability. …