Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks. - Valeriia Abramova; Albert Clérigues; Ana Quiles; Deysi Garcia Figueredo; Yolanda Silva; Salvador Pedraza; Arnau Oliver; Xavier Lladó (Comput. Medical Imaging Graph., 2021)

nnUNet for Brain Tumor Segmentation in Sub-Saharan Africa Patient Population. - Valeriia Abramova; Uma M. Lal-Trehan Estrada; Cansu Yalcin; Rachika E. Hamadache; Albert Clèrigues; Francisco Aarón Tovar Sáez; Marc Guirao; Joaquim Salvi; Arnau Oliver; Xavier Lladó (BraTS/CrossMoDA@MICCAI, 2023)

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge. - Xiangyu Li 004; Gongning Luo; Kuanquan Wang; Hongyu Wang; Jun Liu 080; Xinjie Liang; Jie Jiang; Zhenghao Song; Chunyue Zheng; Haokai Chi; Mingwang Xu; Yingte He; et al. (CoRR, 2023)

Hematoma expansion prediction in intracerebral hemorrhage patients by using synthesized CT images in an end-to-end deep learning framework. - Cansu Yalcin; Valeriia Abramova; Mikel Terceño; Arnau Oliver; Yolanda Silva; Xavier Lladó (Comput. Medical Imaging Graph., 2024)