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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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The future of digital health with federated learning

NPJ digital medicine, 2020-09, Vol.3 (1), p.119-119, Article 119

2020

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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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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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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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Hough voting strategies for segmentation, detection and tracking

Milletari, Fausto

2018

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Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, p.54-62

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Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, p.3-10

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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

The future of digital health with federated learning

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

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

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

Hough voting strategies for segmentation, detection and tracking

Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning

Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation

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