Temperature Field Prediction of Variable Bone Milling Conditions Based on Thermal-Parameter Calibration and Finite-Element Simulation.

Bionic Binaural Perception-Based Performance Enhancement for Orthopedic Surgical Systems.

PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images.

Mee-SLAM: Memory efficient endoscopic RGB SLAM with implicit scene representation.

Dynamic residual distillation Cycle-Consistent GAN for unpaired ultrasound image translation.

A Cutter Vibration Signal Processing-Based State Monitoring Method for Improving Operation Safety of Spinal Automatic Drilling System.

Sound Feedback Fuzzy Control for Optimizing Bone Milling Operation During Robot-Assisted Laminectomy.

Pedicle drilling force control of a robotic surgical system via spine-soft tissue coupling model and parameters optimization.

Tactile Perception-Based Depth and Angle Control During Robot-Assisted Bent Bone Grinding.

Bone Layer Proportion Recognition and Cutting Depth Control Based on Intraoperative Signal Processing in Robotic Laminectomy.

Attention-Based CNN-LSTM for Enhanced Perception of Bone Milling States in Surgical Robots.

Robot assisted bone milling state classification network with attention mechanism.

Graph Neural Network Enhanced Dual-Branch Network for lesion segmentation in ultrasound images.

ESKNet: An enhanced adaptive selection kernel convolution for ultrasound breast tumors segmentation.

Taking measurement in every direction: Implicit scene representation for accurately estimating target dimensions under monocular endoscope.

Viscoelastic modeling based force control framework for enhancing operation safety of soft tissue for orthopedic surgical robots.

Vibration Feedback Control for Robotic Bone Milling.

Rethinking the unpretentious U-net for medical ultrasound image segmentation.

DSEU-net: A novel deep supervision SEU-net for medical ultrasound image segmentation.

AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images.

Asymmetric U-shaped network with hybrid attention mechanism for kidney ultrasound images segmentation.

High-Sensitivity and Wide-Range Resistance Measurement Based on Self-Balancing Wheatstone Bridge and Gated Recurrent Neural Network.

RRCNet: Refinement residual convolutional network for breast ultrasound images segmentation.

BAAF: A Benchmark Attention Adaptive Framework for Medical Ultrasound Image Segmentation Tasks.

Vertebral Lamina State Estimation in Robotic Bone Milling Process via Vibration Signals Fusion.

Vibration-Based Cutting Depth Control and Angle Adjustment of Robotic Curved Bone Milling.

MBDSNet: Automatic segmentation of kidney ultrasound images using a multi-branch and deep supervision network.

ESKNet-An enhanced adaptive selection kernel convolution for breast tumors segmentation.

NU-net: An Unpretentious Nested U-net for Breast Tumor Segmentation.

AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images.

A novel convolutional neural network for kidney ultrasound images segmentation.

C-Net: Cascaded convolutional neural network with global guidance and refinement residuals for breast ultrasound images segmentation.

MBANet: Multi-branch aware network for kidney ultrasound images segmentation.

Human-Inspired Haptic Perception and Control in Robot-Assisted Milling Surgery.

SDFNet: Automatic segmentation of kidney ultrasound images using multi-scale low-level structural feature.

Milling State Identification Based on Vibration Sense of a Robotic Surgical System.