Hongliang Ren
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View article: CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection
CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection Open
View article: Can DeepSeek Reason Like a Surgeon? An Empirical Evaluation for Vision-Language Understanding in Robotic-Assisted Surgery
Can DeepSeek Reason Like a Surgeon? An Empirical Evaluation for Vision-Language Understanding in Robotic-Assisted Surgery Open
View article: Image deblurring algorithm based on energy distribution model
Image deblurring algorithm based on energy distribution model Open
Deblurring algorithms are key technologies for improving image quality. This paper establishes a photosite energy distribution model based on the cause of blur in imaging systems, divides the model into several parts according to regions, …
View article: EndoChat: Grounded multimodal large language model for endoscopic surgery
EndoChat: Grounded multimodal large language model for endoscopic surgery Open
Recently, Multimodal Large Language Models (MLLMs) have demonstrated their immense potential in computer-aided diagnosis and decision-making. In the context of robotic-assisted surgery, MLLMs can serve as effective tools for surgical train…
View article: Design and analysis of a novel compact quasi-zero-stiffness electromagnetic energy harvester for low-frequency vibration
Design and analysis of a novel compact quasi-zero-stiffness electromagnetic energy harvester for low-frequency vibration Open
This study proposes a novel compact quasi-zero-stiffness electromagnetic energy harvester (QZS-EMEH) for efficient low-frequency vibration energy harvesting. The device integrates an electromagnetic transducer with a quasi-zero-stiffness (…
View article: Centimeter‐Scale Magneto‐Reconfigurable Parallel Robots: A Grassmann Line Geometry Synthesis Framework for Multitask Adaptation Using Magneto‐Connected Part Library
Centimeter‐Scale Magneto‐Reconfigurable Parallel Robots: A Grassmann Line Geometry Synthesis Framework for Multitask Adaptation Using Magneto‐Connected Part Library Open
The development of centimeter‐scale reconfigurable parallel robots is critical for applications requiring precise, adaptive, and space‐constrained operations across bench‐top automation and minimally invasive systems. However, existing pla…
View article: Regrafting submillimeter-scale ferromagnetic soft continuums
Regrafting submillimeter-scale ferromagnetic soft continuums Open
View article: EndoControlMag: Robust Endoscopic Vascular Motion Magnification with Periodic Reference Resetting and Hierarchical Tissue-aware Dual-Mask Control
EndoControlMag: Robust Endoscopic Vascular Motion Magnification with Periodic Reference Resetting and Hierarchical Tissue-aware Dual-Mask Control Open
Visualizing subtle vascular motions in endoscopic surgery is crucial for surgical precision and decision-making, yet remains challenging due to the complex and dynamic nature of surgical scenes. To address this, we introduce EndoControlMag…
View article: Kirigami analogies for parallelogram-based remote-center-of-motion mechanisms
Kirigami analogies for parallelogram-based remote-center-of-motion mechanisms Open
View article: PedSemiSeg: Pedagogy-inspired semi-supervised polyp segmentation
PedSemiSeg: Pedagogy-inspired semi-supervised polyp segmentation Open
Recent advancements in deep learning techniques have contributed to developing improved polyp segmentation methods, thereby aiding in the diagnosis of colorectal cancer and facilitating automated surgery like endoscopic submucosal dissecti…
View article: EndoARSS: Adapting Spatially Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery
EndoARSS: Adapting Spatially Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Open
Endoscopic surgery is the gold standard for robotic‐assisted minimally invasive surgery. However, the complexity of surgical scenes, characterized by high variability in different surgical activity scenarios, presents challenges for surgic…
View article: Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement Open
The complexity and diversity of surgical workflows, driven by heterogeneous operating room settings, institutional protocols, and anatomical variability, present a significant challenge in developing generalizable models for cross-institut…
View article: PDZSeg: adapting the foundation model for dissection zone segmentation with visual prompts in robot-assisted endoscopic submucosal dissection
PDZSeg: adapting the foundation model for dissection zone segmentation with visual prompts in robot-assisted endoscopic submucosal dissection Open
View article: Automatic Virtual‐to‐real Calibration and Dynamic Registration of Deformable Tissue for Endoscopic Submucosal Dissection
Automatic Virtual‐to‐real Calibration and Dynamic Registration of Deformable Tissue for Endoscopic Submucosal Dissection Open
During endoscopic submucosal dissection, precise and intuitive sensing of target tissues enhances surgical accuracy. Augmented reality (AR) technology currently offers a solution to provide intuitive guidance. To enhance the AR user experi…
View article: TR2M: Transferring Monocular Relative Depth to Metric Depth with Language Descriptions and Scale-Oriented Contrast
TR2M: Transferring Monocular Relative Depth to Metric Depth with Language Descriptions and Scale-Oriented Contrast Open
This work presents a generalizable framework to transfer relative depth to metric depth. Current monocular depth estimation methods are mainly divided into metric depth estimation (MMDE) and relative depth estimation (MRDE). MMDEs estimate…
View article: Low‐Strain Flexible Ink‐Based Sensors Enable Hyperelastic Inflation Perception Via Geometric Patterning for Balloon‐Type Robots
Low‐Strain Flexible Ink‐Based Sensors Enable Hyperelastic Inflation Perception Via Geometric Patterning for Balloon‐Type Robots Open
Integrating proprioceptive capabilities in balloon‐type robots holds immense potential to enable safe interactions between humans and machines. These robots, made of elastic or hyperelastic materials, undergo substantial deformations when …
View article: Seismic Response Analysis of Phoenix-Shaped Tube Truss Structure of Shaohuashan Upper Station Building
Seismic Response Analysis of Phoenix-Shaped Tube Truss Structure of Shaohuashan Upper Station Building Open
Tube truss structures are often used in large public buildings, and their safety performance under seismic effects is very important. The phoenix shape of the upper station house in the ropeway project of Shaohuashan National Forest Park i…
View article: Adjusting Tissue Puncture Omnidirectionally In Situ with Pneumatic Rotatable Biopsy Mechanism and Hierarchical Airflow Management in Tortuous Luminal Pathways
Adjusting Tissue Puncture Omnidirectionally In Situ with Pneumatic Rotatable Biopsy Mechanism and Hierarchical Airflow Management in Tortuous Luminal Pathways Open
In situ tissue biopsy with an endoluminal catheter is an efficient approach for disease diagnosis, featuring low invasiveness and few complications. However, the endoluminal catheter struggles to adjust the biopsy direction by distal endos…
View article: Wide-Detector CT-Based optimized triple Rule-Out CT angiography for emergency chest pain: reducing contrast and radiation without compromising diagnostic quality
Wide-Detector CT-Based optimized triple Rule-Out CT angiography for emergency chest pain: reducing contrast and radiation without compromising diagnostic quality Open
Background The triple rule-out computed tomography angiography (TRO-CTA) has recently emerged as a technique that noninvasively evaluates the coronary arteries (CAs), the pulmonary arteries (PAs) and the thoracic aorta (TA). Objective To e…
View article: EndoVLA: Dual-Phase Vision-Language-Action Model for Autonomous Tracking in Endoscopy
EndoVLA: Dual-Phase Vision-Language-Action Model for Autonomous Tracking in Endoscopy Open
In endoscopic procedures, autonomous tracking of abnormal regions and following circumferential cutting markers can significantly reduce the cognitive burden on endoscopists. However, conventional model-based pipelines are fragile for each…
View article: Novel hybrid data-driven modeling based on feature space reconstruction and multihead self-attention gated recurrent unit: applied to PM2.5 concentrations prediction
Novel hybrid data-driven modeling based on feature space reconstruction and multihead self-attention gated recurrent unit: applied to PM2.5 concentrations prediction Open
In response to the problem of neglecting the periodic and global characteristics of sequence data when predicting PM2.5 concentrations via machine learning models, a PM2.5 concentrations prediction model based on feature space reconstructi…
View article: Multimodal graph representation learning for robust surgical workflow recognition with adversarial feature disentanglement
Multimodal graph representation learning for robust surgical workflow recognition with adversarial feature disentanglement Open
View article: Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement Open
Surgical workflow recognition is vital for automating tasks, supporting decision-making, and training novice surgeons, ultimately improving patient safety and standardizing procedures. However, data corruption can lead to performance degra…
View article: Miniature OCT-based Tactile Sensor for Concurrent Multimodal Contact Profiling in Robotic Intraluminal Palpation
Miniature OCT-based Tactile Sensor for Concurrent Multimodal Contact Profiling in Robotic Intraluminal Palpation Open
View article: Bimodal Tactile Tomography with Bayesian Sequential Palpation for Intracavitary Microstructure Profiling and Segmentation
Bimodal Tactile Tomography with Bayesian Sequential Palpation for Intracavitary Microstructure Profiling and Segmentation Open
View article: Longitudinal study of factors associated with the anti-cancer efficacy and liver function in HCC patients treated with TACE in combination with percutaneous ablation
Longitudinal study of factors associated with the anti-cancer efficacy and liver function in HCC patients treated with TACE in combination with percutaneous ablation Open
Background Hepatocellular carcinoma (HCC) is a major cancer challenge worldwide. Combination therapy using transcatheter arterial chemoembolization (TACE) and percutaneous ablation offers potential for improved outcomes. Objective To evalu…
View article: Learning to Efficiently Adapt Foundation Models for Self-Supervised Endoscopic 3D Scene Reconstruction from Any Cameras
Learning to Efficiently Adapt Foundation Models for Self-Supervised Endoscopic 3D Scene Reconstruction from Any Cameras Open
Accurate 3D scene reconstruction is essential for numerous medical tasks. Given the challenges in obtaining ground truth data, there has been an increasing focus on self-supervised learning (SSL) for endoscopic depth estimation as a basis …
View article: Optimizing mechanical properties in carbon fiber reinforced thermoplastic composites: The role of fabric structure
Optimizing mechanical properties in carbon fiber reinforced thermoplastic composites: The role of fabric structure Open
Carbon fiber reinforced thermoplastic composites (CFRTP) have garnered increasing attention and are widely utilized in aerospace and other sectors due to their balanced in‐plane mechanical properties. Because of the variety of fabric struc…
View article: Advancing Dense Endoscopic Reconstruction with Gaussian Splatting-driven Surface Normal-aware Tracking and Mapping
Advancing Dense Endoscopic Reconstruction with Gaussian Splatting-driven Surface Normal-aware Tracking and Mapping Open
Simultaneous Localization and Mapping (SLAM) is essential for precise surgical interventions and robotic tasks in minimally invasive procedures. While recent advancements in 3D Gaussian Splatting (3DGS) have improved SLAM with high-quality…
View article: EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery
EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery Open
Recently, Multimodal Large Language Models (MLLMs) have demonstrated their immense potential in computer-aided diagnosis and decision-making. In the context of robotic-assisted surgery, MLLMs can serve as effective tools for surgical train…