Carole Lartizien
8 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Academic Marathon (5) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10)
π§
Keyword Pioneer
π
Cross-Pollinator
(14)
Conferences
MIDL (6)
ICML (1)
MICCAI (1)
Top co-authors
Keywords
attention mechanism
(2)
semantic segmentation
(1)
adversarial learning
(1)
domain adaptation
(1)
cluster analysis
(1)
optimal transport
(1)
target domain
(1)
one-class svm
(1)
focal loss
(1)
unsupervised anomaly detection
(1)
siamese network
(1)
brain tumor segmentation
(1)
lesion detection
(1)
brain mri
(1)
patch-based representation
(1)
margin separation
(1)
white matter hyperintensities
(1)
federated personalization
(1)
white matter lesion
(1)
prostate cancer
(1)
Papers
Lesion-centered vision transformer for stroke outcome prediction from image and clinical data
MICCAI 2025
Preface for International Conference on Medical Imaging with Deep Learning 2024
MIDL 2024
Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains
MIDL 2024
Whole brain radiomics for clustered federated personalization in brain tumor segmentation
MIDL 2023
One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities
MIDL 2023
Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone
MIDL 2020
Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography
MIDL 2020
Margin-aware Adversarial Domain Adaptation with Optimal Transport
ICML 2020