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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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Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound

Computer vision and image understanding, 2017-11, Vol.164, p.92-102

2017

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Privacy-Preserving Federated Brain Tumour Segmentation

Machine Learning in Medical Imaging, 2019, p.133-141

2019

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V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

2016 Fourth International Conference on 3D Vision (3DV), 2016, p.565-571

2016

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Towards accurate surgical workflow recognition with convolutional networks and transformers

Computer methods in biomechanics and biomedical engineering., 2022-07, Vol.10 (4), p.349-356

2022

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Multimodal image-guided prostate fusion biopsy based on automatic deformable registration

International journal for computer assisted radiology and surgery, 2015-12, Vol.10 (12), p.1997-2007

2015

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Robust navigation support in lowest dose image setting

International journal for computer assisted radiology and surgery, 2019-02, Vol.14 (2), p.291-300

2019

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Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings

1st ed. 2020., 2020

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Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data: First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

1st Edition 2019, 2019

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Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics

European journal of nuclear medicine and molecular imaging, 2019-12, Vol.46 (13), p.2800-2811

2019

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Learning to Segment Skin Lesions from Noisy Annotations

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, p.207-215

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Federated Learning for Breast Density Classification: A Real-World Implementation

Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, p.181-191

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Straight to the Point: Reinforcement Learning for User Guidance in Ultrasound

Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, p.3-10

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Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography

IEEE transactions on medical imaging, 2016-04, Vol.35 (4), p.967-977

2016

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CFCM: Segmentation via Coarse to Fine Context Memory

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.667-674

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Siloed Federated Learning for Multi-centric Histopathology Datasets

Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, p.129-139

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Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, p.3-11

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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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Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT

IEEE journal of biomedical and health informatics, 2019-05, Vol.23 (3), p.969-977

2019

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3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation

International journal for computer assisted radiology and surgery, 2017-10, Vol.12 (10), p.1711-1725

2017

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Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare

Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, p.201-210

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Fully Convolutional Regression Network for Accurate Detection of Measurement Points

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, p.258-266

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Generating Virtual Chromoendoscopic Images and Improving Detectability and Classification Performance of Endoscopic Lesions

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, p.99-107

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Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences

International journal for computer assisted radiology and surgery, 2016-07, Vol.11 (7), p.1319-1328

2016

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NeurReg: Neural Registration and Its Application to Image Segmentation

2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020, p.3606-3615

2020

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

Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound

Privacy-Preserving Federated Brain Tumour Segmentation

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Towards accurate surgical workflow recognition with convolutional networks and transformers

Multimodal image-guided prostate fusion biopsy based on automatic deformable registration

Robust navigation support in lowest dose image setting

Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data: First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics

Learning to Segment Skin Lesions from Noisy Annotations

Federated Learning for Breast Density Classification: A Real-World Implementation

Straight to the Point: Reinforcement Learning for User Guidance in Ultrasound

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography

CFCM: Segmentation via Coarse to Fine Context Memory

Siloed Federated Learning for Multi-centric Histopathology Datasets

Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation

Inverse Distance Aggregation for Federated Learning with Non-IID Data

Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT

3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation

Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare

Fully Convolutional Regression Network for Accurate Detection of Measurement Points

Generating Virtual Chromoendoscopic Images and Improving Detectability and Classification Performance of Endoscopic Lesions

Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences

NeurReg: Neural Registration and Its Application to Image Segmentation

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