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Comprehensive segmentation of deep grey nuclei from structural MRI data arxiv.org/abs/2503.21955 .IV .CV

Benchmarking Deep Learning-Based Methods for Irradiance Nowcasting with Sky Images arxiv.org/abs/2503.21966 .IV

Beyond the Signal: Medication State Effect on EEG-Based AI models for Parkinson's Disease arxiv.org/abs/2503.21992 .SP

Neuro-Informed Adaptive Learning (NIAL) Algorithm: A Hybrid Deep Learning Approach for ECG Signal Classification arxiv.org/abs/2503.20789 .SP .LG

D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction arxiv.org/abs/2503.20815 .IV

Synthetic Video Enhances Physical Fidelity in Video Synthesis arxiv.org/abs/2503.20822 .IV .AI .GR

Exploiting Temporal State Space Sharing for Video Semantic Segmentation arxiv.org/abs/2503.20824 .IV .AI .LG

Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation arxiv.org/abs/2503.20826 .IV

Generalized Ray Tracing with Basis functions for Tomographic Projections arxiv.org/abs/2503.20907 .IV

Bounds on Deep Neural Network Partial Derivatives with Respect to Parameters arxiv.org/abs/2503.21007 .SY .SY

Control Barrier Functions for Shared Control and Vehicle Safety arxiv.org/abs/2503.19994 .SY .SY

Unlocking Multi-Task Electric Energy System Intelligence: Data Scaling Laws and Performance with Limited Fine-Tuning arxiv.org/abs/2503.20040 .SY .SY

Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image Analysis arxiv.org/abs/2503.20047 .IV .CV

Federated Learning: A new frontier in the exploration of multi-institutional medical imaging data arxiv.org/abs/2503.20107 .med-ph .IV

Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need? arxiv.org/abs/2503.17385 .SY .ML .LG .SY

A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components arxiv.org/abs/2503.17386 .SY .LG .SY

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