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Disambiguation of "Lartizien, Carole"

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Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone.

, , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 193-204. PMLR, (2020)

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Carole Bourquin

Carole Urvoy

Carole Knibbe

Carole Simon

Carole Arnaud

 

Other publications of authors with the same name

Feature Selection for Unsupervised Domain Adaptation Using Optimal Transport., , and . ECML/PKDD (2), volume 11052 of Lecture Notes in Computer Science, page 759-776. Springer, (2018)Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients., , , , and . MLCN@MICCAI, volume 13001 of Lecture Notes in Computer Science, page 34-43. Springer, (2021)Converting SVDD scores into probability estimates., , and . ESANN, (2016)Effect of Scan Duration on Lesion Detectability in PET Oncology Imaging., , , , , and . ISBI, page 1432-1435. IEEE, (2004)One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities., , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 1783-1797. PMLR, (2023)Computer Aided Diagnosis of Intractable Epilepsy with MRI Imaging Based on Textural Information., , , and . PRNI, page 90-93. IEEE, (2013)Brain Subtle Anomaly Detection Based on Auto-Encoders Latent Space Analysis: Application To De Novo Parkinson Patients., , , , , and . ISBI, page 1-5. IEEE, (2023)Unsupervised Feature Learning for Outlier Detection with Stacked Convolutional Autoencoders, Siamese Networks and Wasserstein Autoencoders: Application to Epilepsy Detection., , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 210-217. Springer, (2018)Margin-aware Adversarial Domain Adaptation with Optimal Transport., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2514-2524. PMLR, (2020)Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography., , , , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 205-216. PMLR, (2020)