output
19942026
most citedDeep Learning for Audio Signal Processing

859 citations

78 papers

cs.SI2026★ 2 cited

Unsupervised Multimodal Graph-based Model for Geo-social Analysis

Ehsaneddin Jalilian, Bernd Resch

The systematic analysis of user-generated social media content, especially when enriched with geospatial context, plays a vital role in domains such as disaster management and publ…

cs.DL2025★ 1 cited

Institutional cooperations in Austrian research: An analysis of shared researchers

Christoph Schlager, Lutz Bornmann, Gerald Schweiger

Multiple organisational affiliations are an increasingly common feature of research systems, yet their implications for organisational performance had received limited systematic a…

eess.IV2025

Conditional Fetal Brain Atlas Learning for Automatic Tissue Segmentation

Johannes Tischer, Patric Kienast, Marlene Stümpflen +3

Magnetic Resonance Imaging (MRI) of the fetal brain has become a key tool for studying brain development in vivo. Yet, its assessment remains challenging due to variability in brai…

cs.CV2025★ 22 cited

MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis

José Morano, Botond Fazekas, Emese Sükei +7

Artificial intelligence (AI) has become a fundamental tool for assisting clinicians in analyzing ophthalmic images, such as optical coherence tomography (OCT). However, developing…

cs.CL2025★ 2 cited

EmoGRACE: Aspect-based emotion analysis for social media data

Christina Zorenböhmer, Sebastian Schmidt, Bernd Resch

While sentiment analysis has advanced from sentence to aspect-level, i.e., the identification of concrete terms related to a sentiment, the equivalent field of Aspect-based Emotion…

eess.IV2024★ 1 cited

Evaluating Synthetic Data Generation for Domain Generalization in Fetal Brain MRI Segmentation

Vladyslav Zalevskyi, Thomas Sanchez, Margaux Roulet +10

Fetal brain tissue segmentation from magnetic resonance imaging (MRI) is crucial for studying neurodevelopment, but remains challenging due to data heterogeneity and limited annota…