Clinical diagnosis of the eye is performed over multifarious data modalities including scalar
clinical labels, vectorized biomarkers, two-dimensional fundus images, and three …

This article presents a novel positive and negative set selection strategy for contrastive
learning of medical images based on labels that can be extracted from clinical data. In the …

We analyze the data-dependent capacity of neural networks and assess anomalies in inputs
from the perspective of networks during inference. The notion of data-dependent capacity …

This paper considers making active learning more sensible from a medical perspective. In
practice, a disease manifests itself in different forms across patient cohorts. Existing …

This paper presents a novel approach to active learning that takes into account the non-
independent and identically distributed (non-iid) structure of a clinical trial setting. There …

Forecasting human trajectories in traffic scenes is critical for safety within mixed or fully
autonomous systems. Human future trajectories are driven by two major stimuli, social …

Computer vision methods help to automate and improve processes in the field of medicine.
In the field of ophthalmology, computer vision algorithms can be used to analyze images …