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Brain Imaging and Behavior|August 30, 2018
Overall survival time prediction for high-grade glioma patients based on large-scale brain functional networksLuyan Liu, Han Zhang, Jinsong Wu, et al.
Neuroimage|September 11, 2021
MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion SegmentationGaoxiang Chen, Jintao Ru, Yilin Zhou, et al.
Human Brain Mapping|January 14, 2020
Individual identification and individual variability analysis based on cortical folding features in developing infant singletons and twinsDingna Duan, Shunren Xia, Islem Rekik, et al.
Scientific Reports|January 11, 2022
Classification of rat mammary carcinoma with large scale in vivo microwave measurementsEmre Onemli, Sulayman Joof, Cemanur Aydinalp, et al.
Medical Image Analysis|June 20, 2020
A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegalyOualid Benkarim, Gemma Piella, Islem Rekik, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|July 3, 2019
Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral EmbeddingOualid M Benkarim, Gerard Sanroma, Gemma Piella, et al.
Neuroimage|August 22, 2018
Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applicationsDingna Duan, Shunren Xia, Islem Rekik, et al.
Neuroimage|March 26, 2018
Computational neuroanatomy of baby brains: A reviewGang Li, Li Wang, Pew-Thian Yap, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|August 2, 2021
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early InfancyMayssa Soussia, Xuyun Wen, Zhen Zhou, et al.
Medical Image Analysis|March 7, 2021
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challengeMarkus D Schirmer, Archana Venkataraman, Islem Rekik, et al.
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