This thesis investigates the Federation of Medical Machine Learning Models. Medical data is by its very nature sensitive - which makes the free sharing of medical information difficult. This data often contains very useful ...

The structure and function of tissue microcirculation are critical in most major disease developments and in the patient-specific treatment response. Adequate quantitative characterization of tissue microvasculature may ...

Over the years, machine learning techniques have been used in a wide variety of security sensitive applications due to the high reliability and accuracy of its results. But recent findings in the domain of adversarial ...

The development of various online platforms such as social media provide users platforms to share their thoughts, feedback and their daily lives. With the widespread of microblogs such as Twitter and the tremendous increase ...

When describing unstructured data, e.g., images and texts, humans often resort to similarity defining the characteristics of these data in relative terms rather than absolute terms. The subtle differences between such data ...

Under development in a pre-clinical setting, super-resolution ultrasound (SR-US) imaging brings up to a ten-fold improvement in ultrasound (US) resolution. It can image microvascular changes in various disease processes ...

Probabilistic models are often used in practice to represent and reason about uncertainty. A key reasoning task over them is finding the most probable assignment to all the unobserved variables given observations. This ...

Noise reduction and dynamic range compression constitute two main signal processing modules for hearing enhancement in modern digital hearing aid devices. This dissertation covers personalization solutions for both of these ...

Consonant clusters are groups of consonants not interrupted by a vowel and are produced by a set of articulatory gestures that coordinate in time. Little is known about which factors affect the temporal overlap of these ...

Nowadays, machine learning plays an increasingly prominent role in our life since decisions that humans once made are now delegated to automated systems. In recent years, an increasing number of reports stated that human ...