Analytical Ground Truth for Phase-Contrast MRI Experiments and Simulations: Open-Source Precision-Controlled Bidirectional Rotational Phantom.

Data Augmentation via Digital Twins to Develop Personalized Deep Learning Glucose Prediction Algorithms for Type 1 Diabetes in Poor Data Context.

Biophysical Circuit Modeling of Electro-Quasistatic Multi-Human Body Communication.

Magnetic Resonance Spectroscopy Deep Learning with Magnetic Resonance Background Generator Enables In Vivo Metabolite Quantification of Hepatic Encephalopathy.

Enhancing Communication Robustness for Leadless Pacemakers: 2-DOF Gain Compensation Across Physiologic and Pathologic Dynamics.

Focused Ultrasound System Design Considerations Based on the Applications for the Peripheral Nervous System.

Analytical Ground Truth for Phase-Contrast MRI Experiments and Simulations: Open-Source Precision-Controlled Bidirectional Rotational Phantom.

Data Augmentation via Digital Twins to Develop Personalized Deep Learning Glucose Prediction Algorithms for Type 1 Diabetes in Poor Data Context.

Biophysical Circuit Modeling of Electro-Quasistatic Multi-Human Body Communication.

Magnetic Resonance Spectroscopy Deep Learning with Magnetic Resonance Background Generator Enables In Vivo Metabolite Quantification of Hepatic Encephalopathy.

Enhancing Communication Robustness for Leadless Pacemakers: 2-DOF Gain Compensation Across Physiologic and Pathologic Dynamics.

Focused Ultrasound System Design Considerations Based on the Applications for the Peripheral Nervous System.