Author of the publication

CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias.

, , , and . BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 100-107. (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors., , , and . BrainLes@MICCAI (1), volume 12658 of Lecture Notes in Computer Science, page 307-317. Springer, (2020)A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases., , , , , , , and . ESANN, (2016)Towards Radiomics-Based Automated Disease Progression Assessment for Glioblastoma Patients., , , , , , and . BrainLes/SWITCH@MICCAI, volume 14668 of Lecture Notes in Computer Science, page 36-47. Springer, (2023)Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning., , , , , and . MLCN/RNO-AI@MICCAI, volume 12449 of Lecture Notes in Computer Science, page 129-138. Springer, (2020)Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction., , , , , , , , , and . BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 474-485. Springer, (2017)Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction., , , , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 429-440. Springer, (2018)CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias., , , and . BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 100-107. (2016)