arXiv EE and SS @arxiv_eess@qoto.org

Infrastructure-free, Deep Learned Urban Noise Monitoring at $\sim$100mW. (arXiv:2203.06220v1 [cs.SD]) http://arxiv.org/abs/2203.06220

Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds. (arXiv:2203.06222v1 [eess.SP]) http://arxiv.org/abs/2203.06222

Pressure Ulcer Categorisation using Deep Learning: A Clinical Trial to Evaluate Model Performance. (arXiv:2203.06248v1 [cs.LG]) http://arxiv.org/abs/2203.06248

Learning from humans: combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task. (arXiv:2203.06250v1 [cs.LG]) http://arxiv.org/abs/2203.06250

Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators. (arXiv:2203.06269v1 [cs.LG]) http://arxiv.org/abs/2203.06269

Distributed Dual Quaternion Based Localization of Visual Sensor Networks. (arXiv:2203.06278v1 [eess.SY]) http://arxiv.org/abs/2203.06278

Resilient UAV Formation for Coverage and Connectivity of Spatially Dispersed Users. (arXiv:2203.06287v1 [eess.SY]) http://arxiv.org/abs/2203.06287

SOCKS: A Stochastic Optimal Control and Reachability Toolbox Using Kernel Methods. (arXiv:2203.06290v1 [cs.LG]) http://arxiv.org/abs/2203.06290

Artificial Intelligence Solution for Effective Treatment Planning for Glioblastoma Patients. (arXiv:2203.05563v1 [eess.IV]) http://arxiv.org/abs/2203.05563

HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis. (arXiv:2203.05564v1 [eess.IV]) http://arxiv.org/abs/2203.05564

LiftReg: Limited Angle 2D/3D Deformable Registration. (arXiv:2203.05565v1 [eess.IV]) http://arxiv.org/abs/2203.05565

Recovering medical images from CT film photos. (arXiv:2203.05567v1 [eess.IV]) http://arxiv.org/abs/2203.05567

Unfolded Deep Kernel Estimation for Blind Image Super-resolution. (arXiv:2203.05568v1 [eess.IV]) http://arxiv.org/abs/2203.05568

Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging. (arXiv:2203.05569v1 [eess.IV]) http://arxiv.org/abs/2203.05569

Deep Convolutional Neural Networks for Molecular Subtyping of Gliomas Using Magnetic Resonance Imaging. (arXiv:2203.05571v1 [eess.IV]) http://arxiv.org/abs/2203.05571

Self Pre-training with Masked Autoencoders for Medical Image Analysis. (arXiv:2203.05573v1 [eess.IV]) http://arxiv.org/abs/2203.05573

On-the-Fly Test-time Adaptation for Medical Image Segmentation. (arXiv:2203.05574v1 [eess.IV]) http://arxiv.org/abs/2203.05574

Deep Learning-Based Perceptual Stimulus Encoder for Bionic Vision. (arXiv:2203.05604v1 [cs.CV]) http://arxiv.org/abs/2203.05604

Fluid registration between lung CT and stationary chest tomosynthesis images. (arXiv:2203.04958v1 [eess.IV]) http://arxiv.org/abs/2203.04958

ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities. (arXiv:2203.04959v1 [eess.IV]) http://arxiv.org/abs/2203.04959