Contributions to a conference proceedings

In many biomedical segmentation tasks, the preservation of elongated structure continuity and length is more important than voxel-wise accuracy. We propose two novel loss functions, Negative Centerline Loss and Simplified Topology Loss, that, applied to Convolutional Neural Networks (CNNs), help preserve connectivity of output instances [...]

Alzheimer's disease (AD), a progressive neurodegenerative disorder, is projected to affect over 130 million people globally by 2050. While extensive efforts have focused on targeting molecular hallmarks such as amyloid-beta (Aβ) plaques and tau pathology, network-level dysfunction remains a critical but underexplored component of AD progression. [...]

Learning and memory are fundamental brain functions governed by rhythmic oscillatory activity, which synchronizes neural communication and modulates network dynamics. Distinct oscillatory patterns-theta (θ), beta (β), gamma (γ), and sharp wave-ripples (SWR)-coordinate neural ensemble activity, particularly in the hippocampal CA1-CA3 regions, where they play a crucial role in learning and memory. [...]

Unraveling the complexity of network-level synaptic plasticity remains a challenge due to the dynamic and interconnected nature of neural circuits. In this study, we employ network motifs-recurrent, functionally specialized patterns of connectivity-as a framework to dissect long-term potentiation (LTP)-induced reorganization in hippocampal CA1-CA3 networks. [...]

70 million people suffer from epilepsy worldwide with temporal lobe epilepsy (TLE) being the most common focal epilepsy in adults. The hippocampus, a region associated with TLE, is highly susceptible to pathological synchronization and epileptogenesis due to its functional and anatomical organization. [...]

Robust analysis of biosignals hinges on well-crafted processing pipelines, yet assembling them is still a slow, errorprone exercise, requiring both domain expertise and programming skills. While Large Language Models (LLMs) offer promising assistance, they fundamentally lack the combinatorial reasoning capabilities needed for designing reliable and reproducible processing pipelines. [...]

Recent studies have demonstrated that eye tracking is a valuable tool in the detection, classification and staging of neurodegenerative diseases such as Parkinson's Disease (PD). However, traditional methods for capturing gaze data often rely on expensive and non-engaging clinical equipment such as video-oculography, limiting their accessibility and scalability. [...]

The primary goal of developing new clinical diagnostic solutions is to create value for healthcare. The rapid rise of artificial intelligence (AI)-based diagnostics has led to a surge in publications and, to a lesser extent, market-ready tools. [...]

Although access to a large number of Ottoman documents has become easier today, the Arabic-Persian-based Ottoman script remains a barrier for interested users in utilizing these documents. To address this challenge, there is a need for automatic transcription systems. [...]

The modeling and control of fluid flows remain a significant challenge with tremendous potential to advance fields including transportation, energy, and medicine. Effective fluid flow control can lead to drag reduction, enhanced mixing, and noise reduction, among other applications. [...]