831 citations · 994 across the 15 of their papers we have counts for
16 papers
PI-NOMT: Physics-Informed Neural Optimal Mass Transport for Brain Fluid Dynamics
Mehmet Emin Acar, Vahit Bugra Yesilkaynak, Helene Benveniste +1
Recovering hidden transport mechanisms from sparse spatiotemporal observations is a fundamental inverse problem in scientific machine learning. In brain tracer imaging, dynamic con…
Neural Conjugate Aggregation: Identifiable Unsupervised Multi-Sensor Regression under Heterogeneous Sensor Bias
Muhammed Faruk Aytin, Zehra Demir, Alper Unal +4
We study regression-based data fusion under uncertainty, where multiple noisy and biased measurement sources are available but ground-truth labels are absent during training. This…
Masked and Predictive Self-Supervised Foundation Models for 3D Brain MRI
Esra Ergün, Hersh Chandarana, Dan Sodickson +1
Self-supervised foundation models have shown strong promise in medical imaging. However, existing MRI foundation-model studies have primarily emphasized segmentation and dense pred…
Textile Pattern Generation Using Diffusion Models
Halil Faruk Karagoz, Gulcin Baykal, Irem Arikan Eksi +1
The problem of text-guided image generation is a complex task in Computer Vision, with various applications, including creating visually appealing artwork and realistic product ima…
GAN-based Intrinsic Exploration For Sample Efficient Reinforcement Learning
Doğay Kamar, Nazım Kemal Üre, Gözde Ünal
In this study, we address the problem of efficient exploration in reinforcement learning. Most common exploration approaches depend on random action selection, however these approa…
ODFNet: Using orientation distribution functions to characterize 3D point clouds
Yusuf H. Sahin, Alican Mertan, Gozde Unal
Learning new representations of 3D point clouds is an active research area in 3D vision, as the order-invariant point cloud structure still presents challenges to the design of neu…