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09/03/2023
ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models
Colonoscopy analysis, particularly automatic polyp segmentation and dete...
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09/02/2023
Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries
Accurate segmentation of surgical instrument tip is an important task fo...
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08/10/2023
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation
One critical challenge in 6D object pose estimation from a single RGBD i...
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07/31/2023
Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot
Reinforcement learning is still struggling with solving long-horizon sur...
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07/24/2023
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data
Intracerebral hemorrhage (ICH) is the second most common and deadliest f...
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06/29/2023
Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
Foundation models have exhibited remarkable success in various applicati...
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06/23/2023
3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation
Despite that the segment anything model (SAM) achieved impressive result...
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05/30/2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation
This paper presents an effective and general data augmentation framework...
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03/21/2023
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning
Semi-supervised learning (SSL) methods assume that labeled data, unlabel...
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03/17/2023
Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior
Video dehazing aims to recover haze-free frames with high visibility and...
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03/07/2023
End-to-End Deep Visual Control for Mastering Needle-Picking Skills With World Models and Behavior Cloning
Needle picking is a challenging surgical task in robot-assisted surgery ...
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03/05/2023
Two-Stage Grasping: A New Bin Picking Framework for Small Objects
This paper proposes a novel bin picking framework, two-stage grasping, a...
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02/26/2023
Autonomous Intelligent Navigation for Flexible Endoscopy Using Monocular Depth Guidance and 3-D Shape Planning
Recent advancements toward perception and decision-making of flexible en...
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02/24/2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification
Histopathological tissue classification is a fundamental task in computa...
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02/20/2023
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Task automation of surgical robot has the potentials to improve surgical...
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01/19/2023
RecolorNeRF: Layer Decomposed Radiance Fields for Efficient Color Editing of 3D Scenes
Radiance fields have gradually become a main representation of media. Al...
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01/04/2023
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
Mitigating the discrimination of machine learning models has gained incr...
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01/01/2023
Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning
Surgical robot automation has attracted increasing research interest ove...
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01/01/2023
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
Brain midline shift (MLS) is one of the most critical factors to be cons...
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11/27/2022
Distilled Visual and Robot Kinematics Embeddings for Metric Depth Estimation in Monocular Scene Reconstruction
Estimating precise metric depth and scene reconstruction from monocular ...
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11/03/2022
StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS
Most existing methods for category-level pose estimation rely on object ...
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10/04/2022
Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance through Physical Knowledge Distillation: Initial Feasibility Study
Learning high-performance deep neural networks for dynamic modeling of h...
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09/12/2022
Robust Data-Driven 3-D Shape Servoing of Unmodeled Continuum Robots Using FBG Sensors in Unstructured Environments
In this paper, we present a novel and generic data-driven method to serv...
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08/03/2022
AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy
Computer-assisted minimally invasive surgery has great potential in bene...
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07/20/2022
Tackling Long-Tailed Category Distribution Under Domain Shifts
Machine learning models fail to perform well on real-world applications ...
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07/20/2022
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations
Surgical scene segmentation is fundamentally crucial for prompting cogni...
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07/02/2022
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
Class distribution plays an important role in learning deep classifiers....
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06/30/2022
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
Reconstruction of the soft tissues in robotic surgery from endoscopic st...
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06/29/2022
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary
Domain generalization typically requires data from multiple source domai...
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05/10/2022
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training
Deep neural networks have achieved remarkable success in a wide variety ...
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04/14/2022
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin-picking
In this paper, we propose an iterative self-training framework for sim-t...
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04/13/2022
Rapid model transfer for medical image segmentation via iterative human-in-the-loop update: from labelled public to unlabelled clinical datasets for multi-organ segmentation in
Despite the remarkable success on medical image analysis with deep learn...
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04/09/2022
Robotic Surgery Remote Mentoring via AR with 3D Scene Streaming and Hand Interaction
With the growing popularity of robotic surgery, education becomes increa...
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04/07/2022
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients
Supervised federated learning (FL) enables multiple clients to share the...
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04/07/2022
3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery
Automatic laparoscope motion control is fundamentally important for surg...
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03/26/2022
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution
Magnetic resonance imaging (MRI) can present multi-contrast images of th...
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03/05/2022
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking
Industrial bin picking is a challenging task that requires accurate and ...
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02/11/2022
PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition?
This paper presents the design and results of the "PEg TRAnsfert Workflo...
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01/02/2022
Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario
The demand of competent robot assisted surgeons is progressively expandi...
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12/20/2021
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
Multiple medical institutions collaboratively training a model using fed...
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10/08/2021
Stereo Dense Scene Reconstruction and Accurate Laparoscope Localization for Learning-Based Navigation in Robot-Assisted Surgery
The computation of anatomical information and laparoscope position is a ...
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09/30/2021
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark
PURPOSE: Surgical workflow and skill analysis are key technologies for t...
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09/19/2021
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
Domain adaptation typically requires to access source domain data to uti...
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08/30/2021
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
Autonomous surgical execution relieves tedious routines and surgeon's fa...
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08/19/2021
Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks
Category-level 6D pose estimation, aiming to predict the location and or...
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07/01/2021
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception
Reconstructing the scene of robotic surgery from the stereo endoscopic v...
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06/16/2021
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching
Federated learning (FL) has emerged with increasing popularity to collab...
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04/05/2021
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation
The superior performance of CNN on medical image analysis heavily depend...
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03/30/2021
Temporal Memory Relation Network for Workflow Recognition from Surgical Video
Automatic surgical workflow recognition is a key component for developin...
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03/24/2021
