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Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN.

M. Martin, B. Sciolla, M. Sdika, P. Quetin, and P. Delachartre. Comput. Biol. Medicine, (2021)

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Matthieu Saubanère

Matthieu Hammer

Matthieu Felsinger

Friedrich Matthieu

Matthieu Barukinamwo

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Reconstruction 3D de données échographiques du cerveau du prématuré et segmentation des ventricules cérébraux et thalami par apprentissage supervisé. (3D reconstruction of brain ultrasound data from premature infants and segmentation of cerebral ventricular system and thalami using supervised learning).M. Martin. Claude Bernard University Lyon 1, France, (2019)Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography.P. Erbacher, C. Lartizien, M. Martin, P. Foletto-Pimenta, P. Quetin, and P. Delachartre. MIDL, volume 121 of Proceedings of Machine Learning Research, page 205-216. PMLR, (2020)Automatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN.M. Martin, B. Sciolla, M. Sdika, P. Quetin, and P. Delachartre. CoRR, (2020)Decoding ECoG signal into 3D hand translation using deep learning.M. Sliwowski, M. Martin, A. Souloumiac, P. Blanchart, and T. Aksenova. CoRR, (2021)Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN.M. Martin, B. Sciolla, M. Sdika, P. Quetin, and P. Delachartre. Comput. Biol. Medicine, (2021)Efficient Kernelized UCB for Contextual Bandits.H. Zenati, A. Bietti, E. Diemert, J. Mairal, M. Martin, and P. Gaillard. AISTATS, volume 151 of Proceedings of Machine Learning Research, page 5689-5720. PMLR, (2022)Sequential Counterfactual Risk Minimization.H. Zenati, E. Diemert, M. Martin, J. Mairal, and P. Gaillard. ICML, volume 202 of Proceedings of Machine Learning Research, page 40681-40706. PMLR, (2023)Individual Treatment Effect Estimation in a Low Compliance Setting.T. Rahier, A. Héliou, M. Martin, C. Renaudin, and E. Diemert. CoRR, (2020)Text-based CAPTCHA strengths and weaknesses.E. Bursztein, M. Martin, and J. Mitchell. ACM Conference on Computer and Communications Security, page 125-138. ACM, (2011)Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance.M. Sliwowski, M. Martin, A. Souloumiac, P. Blanchart, and T. Aksenova. CoRR, (2022)

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Disambiguation of "Martin, Matthieu"

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Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN.

Please choose a person to relate this publication to

Matthieu Saubanère

Matthieu Hammer

Matthieu Felsinger

Friedrich Matthieu

Matthieu Barukinamwo

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Martin, Matthieu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN.

Please choose a person to relate this publication to

Matthieu Saubanère

Matthieu Hammer

Matthieu Felsinger

Friedrich Matthieu

Matthieu Barukinamwo

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN.