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Evaluating the impact of reinforcement learning on automatic deep brain stimulation planning

International journal for computer assisted radiology and surgery, 2024, Vol.19 (6), p.995-1002

2024

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part I

1st ed. 2021., 2021

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII

1, 2021

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IJCARS: MICCAI 2019 special issue

International journal for computer assisted radiology and surgery, 2020-11, Vol.15 (11), p.1761-1761

2020

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III

1, 2019

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part I

1, 2019

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV

1, 2019

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part V

1, 2019

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part VI

1, 2019

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Generation of synthetic training data for SEEG electrodes segmentation

International journal for computer assisted radiology and surgery, 2022-05, Vol.17 (5), p.937-943

2022

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A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections

International journal for computer assisted radiology and surgery, 2021-10, Vol.16 (10), p.1653-1661

2021

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Dynamic path planning for percutaneous procedures in the abdomen during free breathing

International journal for computer assisted radiology and surgery, 2020-07, Vol.15 (7), p.1195-1203

2020

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part II

1st ed. 2021., 2021

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part III

1st ed. 2021., 2021

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part IV

1st ed. 2021., 2021

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part VI

1st ed. 2021., 2021

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII

1, 2021

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V

1, 2021

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Evaluating the impact of reinforcement learning on automatic deep brain stimulation planning

International journal for computer assisted radiology and surgery, 2024-02

2024

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Comparison of interactive and automatic segmentation of stereoelectroencephalography electrodes on computed tomography post-operative images: preliminary results

Healthcare technology letters, 2018-10, Vol.5 (5), p.215-220

2018

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Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

Medical Image Computing and Computer Assisted Intervention - MICCAI 2021, 2021, Vol.12901, p.36-46

2021

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RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-scale Generative Adversarial Network

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 2021, p.34-44

2021

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Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019-01, Vol.11765, p.255-263

2019

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Pre-operative planning of multiple probes in three dimensions for liver cryosurgery: comparison of different optimization methods

Mathematical methods in the applied sciences, 2016-11, Vol.39 (16), p.4764-4772

2016

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Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019, Vol.11765, p.92-100

2019

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Evaluating the impact of reinforcement learning on automatic deep brain stimulation planning

Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part I

Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII

IJCARS: MICCAI 2019 special issue

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part I

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part V

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part VI

Generation of synthetic training data for SEEG electrodes segmentation

A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections

Dynamic path planning for percutaneous procedures in the abdomen during free breathing

Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part II

Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part III

Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part IV

Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part VI

Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII

Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V

Evaluating the impact of reinforcement learning on automatic deep brain stimulation planning

Comparison of interactive and automatic segmentation of stereoelectroencephalography electrodes on computed tomography post-operative images: preliminary results

Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-scale Generative Adversarial Network

Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation

Pre-operative planning of multiple probes in three dimensions for liver cryosurgery: comparison of different optimization methods

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice

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