Biomedical Imaging Towards Trustworthy AI for Glioma Diagnosis: A Task-Aware Evaluation of Uncertainty Quantification
Gonzalo Esteban, Mosquera Rojas, S. R. van der Voort et al.
· 0 citations
3 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Towards Trustworthy AI for Glioma Diagnosis: A Task-Aware Evaluation of Uncertainty Quantification
Uncertainty Quantification (UQ) is a key requirement for trustworthy AI in high-stakes medical image analysis. In this work, we evaluate UQ within a multi-task Deep Learning (DL) framework for MRI-based glioma diagnosis that performs tumor segmentation and predicts Isocitrate Dehydrogenase (IDH) mutation status, 1p/19q...
Gonzalo E. Mosquera-Rojas, S. R. van der Voort, Carolin M. Pirkl et al.
· Machine Learning for Biomedi... · 0 citations
A logistic paradigm to predict molecular glioblastoma on clinical MRI
The logistic strategy achieved high sensitivity and discrimination for identifying mGBM according to CNS WHO 2021 and demonstrated more consistent calibration across observers, which support the further evaluation of the tool, particularly in radiologically atypical mGBM.
Yousif Aldabbagh, F. Bhatti, Nitin Menon et al.
· Frontiers in Oncology · 0 citations