Building reliable AI models depends not only on how much data is annotated, but on the quality and meaning of the labels used during annotation. In many workflows, labels are flat, task-specific class names. They are easy to apply, but lack explicit semantic structure, provenance, and links to shared domain Read more
Ophthalmo-AI Age-related macular degeneration (AMD) is the primary cause of severe vision loss in the western world. One cause is the retinal accumulation of harmful byproducts of metabolism processes occurring in the eye. Treatment aims at slowing down disease progression and is performed through the injection of anti-VEGF agents into Read more
Medical AI is about to become more powerful and versatile thanks to the fast creation of reusable AI models that can learn from different types of data. We call this new approach a foundation model for medical AI (FMAI). FMAI models will be able to do many different tasks with Read more
Explainable AI (XAI) has demonstrated its potential in deciphering discriminatory features in machine learning (ML) decision-making processes. Specifically, XAI’s feature attribution methods shed light on individual decisions made by ML models. However, despite their visual appeal, these attributions can be unfaithful. To ensure the faithfulness of feature attributions, it is Read more
Contract cheating, an academic dishonesty when students ask another person to take an exam or to do an assignment instead of them, turns out to be a significant and growing problem, receiving a large amount of media coverage. It becomes a mature industry with a lot of specialized websites full Read more
Medical image analysis encompasses two crucial research areas: disease grading and fine-grained lesion segmentation. Although disease grading often relies on fine-grained lesion segmentation, they are usually studied separately. Disease severity grading can be approached as a classification problem, utilizing image-level annotations to determine the severity of a medical condition. On Read more
Visual Search Target Inference in Natural Interaction Settings with Machine Learning Visual search is a perceptual task in which humans aim at identifying a search target object such as a traffic sign among other objects. Search target inference subsumes computational methods for predicting this target by tracking and analyzing overt Read more
In this present day and age of smart phones, ipads and other smart devices a digital camera has become an integral part of our daily experience. This combined with our desire to capture moments in images has lead to a vast repository of myriad images on the internet. In this Read more
In the medical domain physicians are often forced to decide quickly whether a further examination is appropriate or which of several treatments is best suited for a patient.A first preliminary ruling can sometimes be made on the basis of a few aspects, e.g. with so called ABCDE rule for the Read more
In comparison to typing, handwriting stimulates different parts of the human brain and brings into play a very different cognitive process. Many of today’s tasks benefit from digitalization and digitization of handwriting input and with the availability of low-cost consumer grade capturing devices, such as digital pens, graphic tablets and Read more