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Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation

Computer Vision – ECCV 2016, p.205-220

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Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

Computer Vision – ACCV 2012, p.548-562

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X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.55-63

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Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.176-184

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Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.161-169

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Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.664-672

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Semi-supervised Deep Learning for Fully Convolutional Networks

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, p.311-319

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Online Learning of Linear Predictors for Real-Time Tracking

Computer Vision – ECCV 2012, p.470-483

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Edge-Based Template Matching and Tracking for Perspectively Distorted Planar Objects

Advances in Visual Computing, p.35-44

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Inverse Distance Aggregation for Federated Learning with Non-IID Data

Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, p.150-159

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Generating Highly Realistic Images of Skin Lesions with GANs

OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis, p.260-267

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Deep Model-Based 6D Pose Refinement in RGB

Computer Vision – ECCV 2018, p.833-849

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TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, p.343-352

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Deep Residual Learning for Instrument Segmentation in Robotic Surgery

Machine Learning in Medical Imaging, 2019, p.566-573

2019

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Concurrent Segmentation and Localization for Tracking of Surgical Instruments

Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017, p.664-672

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Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, p.648-656

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Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.630-637

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Fully-Convolutional Point Networks for Large-Scale Point Clouds

Computer Vision – ECCV 2018, p.625-640

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A Deep Metric for Multimodal Registration

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016, Vol.9902, p.10-18

2016

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Self6D: Self-supervised Monocular 6D Object Pose Estimation

Computer Vision - ECCV 2020, 2020, Vol.12346, p.108-125

2020

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Latent-Graph Learning for Disease Prediction

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, p.643-653

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A New Robotic System for Visually Controlled Percutaneous Interventions under CT Fluoroscopy

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000, p.887-896

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InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction

Information Processing in Medical Imaging, p.73-85

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SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, p.718-727

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OperA: Attention-Regularized Transformers for Surgical Phase Recognition

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, p.604-614

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Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation

Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery

Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks

Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images

Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling

Semi-supervised Deep Learning for Fully Convolutional Networks

Online Learning of Linear Predictors for Real-Time Tracking

Edge-Based Template Matching and Tracking for Perspectively Distorted Planar Objects

Inverse Distance Aggregation for Federated Learning with Non-IID Data

Generating Highly Realistic Images of Skin Lesions with GANs

Deep Model-Based 6D Pose Refinement in RGB

TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks

Deep Residual Learning for Instrument Segmentation in Robotic Surgery

Concurrent Segmentation and Localization for Tracking of Surgical Instruments

Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery

Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound

Fully-Convolutional Point Networks for Large-Scale Point Clouds

A Deep Metric for Multimodal Registration

Self6D: Self-supervised Monocular 6D Object Pose Estimation

Latent-Graph Learning for Disease Prediction

A New Robotic System for Visually Controlled Percutaneous Interventions under CT Fluoroscopy

InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction

SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI

OperA: Attention-Regularized Transformers for Surgical Phase Recognition

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