CAI Applications
Reconstructing Sinus Anatomy from Endoscopic Video
Towards a Radiation-free Approach for Quantitative Longitudinal Assessment
Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee
Feasibility check: can audio be a simple alternative to force-based feedback for needle guidance?
A Graph-Based Method for Optimal Active Electrode Selection in Cochlear Implants
Improved resection margins in surgical oncology using intraoperative mass spectrometry
Self-Supervsied Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking
An Interactive Mixed Reality Platform for Bedside Surgical Procedures
Ear Cartilage Inference for Reconstructive Surgery with Convolutional Mesh Autoencoders
Robust Multi-modal 3D Patient Body Modeling
A New Electromagnetic-Video Endoscope Tracking Method via Anatomical Constraints and Historically Observed Differential Evolution
Malocclusion Treatment Planning via PointNet based Spatial Transformation Network
Simulation of Brain Resection for Cavity Segmentation Using Self-Supervised and Semi-Supervised Learning
Local Contractive Registration for Quantification of Tissue Shrinkage in Assessment of Microwave Ablation
Reinforcement Learning of Musculoskeletal Control from Functional Simulations
Image Registration
MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation
Database Annotation with few Examples: An Atlas-based Framework using Diffeomorphic Registration of 3D trees
Pair-wise and Group-wise Deformation Consistency in Deep Registration Network
Semantic Hierarchy Guided Registration Networks for Intra-Subject Pulmonary CT Image Alignment
Highly accurate and memory efficient unsupervised learning-based discrete CT registration using 2.5D displacement search
Unsupervised Learning Model for Registration of Multi-Phase Ultra-Widefield Fluorescein Angiography
Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks
Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination
Flexible Bayesian Modelling for Nonlinear Image Registration
Are Registration Uncertainty and Error Monotonically Associated?
MR-to-US registration using multiclass segmentation of hepatic vasculature with a reduced 3D U-Net
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble
Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI
Fluid registration between lung CT and stationary chest tomosynthesis images
Anatomical Data Augmentation via Fluid-based Image Registration
Generliazing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration
Instrumentation and Surgical Phase Detection
TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks
Surgical Video Motion Magnification with Suppression of Instrument Artefacts
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation
Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery
Navigation and Visualization
Can a hand-held navigation device reduce cognitive load? A user-centered approach evaluated by 18 surgeons
Symmetric Dilated Convolution for Surgical Gesture Recognition
Deep Selection: A Fully Supervised Camera Selection Network for Surgery Recordings
Interacting with Medical Volume Data in Projective Augmented Reality
VR Simulation of Novel Hands-free Interaction Concepts for Surgical Robotic Visualization Systems
Spatially-Aware Displays for Computer Assisted Interventions
Ultrasound Imaging
Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning
Ultra2Speech
A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images
Ultrasound Video Summarization using Deep Reinforcement Learning
Predicting obstructive hydronephrosis based on ultrasound alone
Semi-Supervised Training of Optical Flow Convolutional Neural Networks in Ultrasound Elastography
Three-dimensional thyroid assessment from untracked 2D ultrasound clips
Complex Cancer Detector: Complex Neural Networks on Non-stationary Time Series for Guiding Systematic Prostate Biopsy
Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound
Directing Ultrasound Probe Placement for Image Guided Prostate Radiotherapy
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound
Contrastive Rendering for Ultrasound Image Segmentation
An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation
Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound
Video Image Analysis
ISINet: An Instance-Based Approach for Surgical Instrument Segmentation
Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization
Toward Rapid Stroke Diagnosis with Multimodal Deep Learning
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity
Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
Towards Accurate and Interpretable Surgical Skill Assessment: A Video-Based Method Incorporating Recognized Surgical Gestures and Skill Levels
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video
Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumour Signatures
Asynchronous in Parallel Detection and Tracking (AIPDT): Real-time Robust Polyp Detection
OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis
Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance
Deep Placental Vessel Segmentation for Fetoscopic Mosaicking
Deep Multi-View Stereo for Dense 3D Reconstruction from Monocular Endoscopic Video
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation.