- 3D Pose Estimation of Articulated Instruments in Robotic Minimally Invasive Surgery
- Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data
- Long Term Safety Area Tracking (LT-SAT) with Online Failure Detection and Recovery for Robotic Minimally Invasive Surgery
- Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images
- EasyLabels: Weak labels for scene segmentation in laparoscopic videos
- Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge
- Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach
- OperA: Attention-Regularized Transformers for Surgical Phase Recognition
- A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms
- Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation
- Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
- Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking in surgical video
- SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance
- Vision-Based and Marker-Less Surgical Tool Detection and Tracking: a Review of the Literature
- Future-State Predicting LSTM for Early Surgery Type Recognition
- Towards Unified Surgical Skill Assessment
- Real-time identification of blood regions for hemostasis support in laparoscopic surgery
- Non-Linear Temporal Scaling of Surgical Processes
- Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
- Vision-Based Proximity Detection in Retinal Surgery
- Surgical Data Science – from Concepts toward Clinical Translation
- Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
- Temporal coherence-based self-supervised learning for laparoscopic workflow analysis
- Temporal Memory Relation Network for Workflow Recognition from Surgical Video
- A Review on Deep Learning in Minimally Invasive Surgery
- Orientation Matters: 6-DoF Autonomous Camera Movement for Minimally Invasive Surgery
- Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures
- The Pros and Cons: Rank-aware Temporal Attention for Skill Determination in Long Videos
- Toward Detection and Localization of Instruments in Minimally Invasive Surgery
- Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis
- SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network
- Neural Networks and Deep Learning
- Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
- One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video
- "Train one, Classify one, Teach one" - Cross-surgery transfer learning for surgical step recognition
- Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video
- Combined 2D and 3D tracking of surgical instruments for minimally invasive and robotic-assisted surgery
- CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions
- Evaluating surgical skills from kinematic data using convolutional neural networks
- Simulation-to-real domain adaptation with teacher–student learning for endoscopic instrument segmentation
- Automatic data-driven real-time segmentation and recognition of surgical workflow
- Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery
- Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos
- Gesture Recognition in Robotic Surgery: a Review
- Surgical Instruction Generation with Transformers
- Finding discriminative and interpretable patterns in sequences of surgical activities
- A Framework for the Recognition of High-Level Surgical Tasks From Video Images for Cataract Surgeries
- Impact of data on generalization of AI for surgical intelligence applications
- Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
- Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification
- EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
- Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy
- E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception
- Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark
- Online identification of surgical deviations in laparoscopic rectopexy
- Accurate Detection of Out of Body Segments in Surgical Video using Semi-Supervised Learning
- Objective Assessment of Intraoperative Technical Skill in Capsulorhexis using Videos of Cataract Surgery
- Surgical motion analysis using discriminative interpretable patterns
- Video-based surgical skill assessment using 3D convolutional neural networks
- RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations
- Development and Validation of a 3-Dimensional Convolutional Neural Network for Automatic Surgical Skill Assessment Based on Spatiotemporal Video Analysis
- Surgical data science for nextgeneration interventions
- Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery
- Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field
- Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery
- Automatic matching of surgeries to predict surgeons next actions
- Assessment of Automated Identification of Phases in Videos of Cataract Surgery Using Machine Learning and Deep Learning Techniques
- A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images
- Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video
- Self-supervised representation learning for surgical activity recognition
- Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery
- Surgical Activity Recognition in Robot-Assisted Radical Prostatectomy using Deep Learning
- Real-Time Segmentation and Recognition of Surgical Tasks in Cataract Surgery Videos
- Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction
- Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis
- Automated Surgical Activity Recognition with One Labeled Sequence
- Future Frame Prediction for Robot-assisted Surgery
- Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition
- Objective Assessment of Surgical Technical Skill and Competency in the Operating Room
- Surgical Data Science: A Consensus Perspective
- Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review
- Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search
- Knowledge transfer for surgical activity prediction
manjunath5496/Surgical-Video-Analysis-Papers
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