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Deep reinforcement learning in medical imaging: A literature review


Mar 05, 2021
S. Kevin Zhou, Hoang Ngan Le, Khoa Luu, Hien V. Nguyen, Nicholas Ayache

* 39 pages, 20 figures 

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Combining Bayesian and Deep Learning Methods for the Delineation of the Fan in Ultrasound Images


Feb 02, 2021
Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, Nicholas Ayache

* International Symposium on Biomedical Imaging, Apr 2021, Nice, France 

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Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix


Nov 03, 2020
Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi


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Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI


Jul 31, 2019
Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette

* Probabilistic Motion Model, Motion Tracking, Temporal Super-Resolution, Diffeomorphic Registration, Temporal Variational Autoencoder 

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Anatomically Consistent Segmentation of Organs at Risk in MRI with Convolutional Neural Networks


Jul 03, 2019
Pawel Mlynarski, Hervé Delingette, Hamza Alghamdi, Pierre-Yves Bondiau, Nicholas Ayache

* Submitted to Computerized Medical Imaging and Graphics 

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A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments


May 23, 2019
Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec, Nicholas Ayache

* NeuroImage, Elsevier, In press 

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Monotonic Gaussian Process for Spatio-Temporal Trajectory Separation in Brain Imaging Data


Feb 28, 2019
Clement Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi


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Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank


Feb 15, 2019
Qiao Zheng, Hervé Delingette, Kenneth Fung, Steffen E. Petersen, Nicholas Ayache


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Learning a Probabilistic Model for Diffeomorphic Registration


Dec 18, 2018
Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi

* Under review 

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Deep Learning with Mixed Supervision for Brain Tumor Segmentation


Dec 10, 2018
Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache

* Submitted to SPIE Journal of Medical Imaging 

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Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow


Nov 08, 2018
Qiao Zheng, Hervé Delingette, Nicholas Ayache


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3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context


Jul 23, 2018
Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache

* Submitted to the journal Computerized Medical Imaging and Graphics 

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Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration


Jul 20, 2018
Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette


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Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training


Jun 08, 2018
Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, Olivier Colliot

* Accepted by MICCAI2018 

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3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation


Apr 25, 2018
Qiao Zheng, Hervé Delingette, Nicolas Duchateau, Nicholas Ayache

* Accepted for publication in IEEE Transactions on Medical Imaging 

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3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation


Mar 29, 2018
Qiao Zheng, Hervé Delingette, Nicolas Duchateau, Nicholas Ayache


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Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance


Oct 13, 2016
Anant S. Vemuri, Stephane A. Nicolau, Jacques Marescaux, Luc Soler, Nicholas Ayache

* Medical Content-based Retrieval for Clinical Decision Support and Treatment Planning, MICCAI Conference 

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