Artificial Intelligence in Glioma Imaging: Challenges and Advances

28 November 2019

Papers citing "Artificial Intelligence in Glioma Imaging: Challenges and Advances"

6 / 6 papers shown

Title
Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification Alessandro Wollek Robert Graf Saša Čečatka N. Fink Theresa Willem B. Sabel Tobias Lasser 18 26 0 03 Mar 2023
Investigating certain choices of CNN configurations for brain lesion segmentation Masoomeh Rahimpour A. Radwan Henri Vandermeulen S. Sunaert K. Goffin M. Koole 50 1 0 02 Dec 2022
EUCA: the End-User-Centered Explainable AI Framework Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 40 24 0 04 Feb 2021
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 42 667 0 16 Oct 2019
Machine learning and glioma imaging biomarkers Thomas C Booth M. Williams A. Luis Jorge Cardoso A. Keyoumars Haris Shuaib 42 81 0 28 Aug 2019
MRI Tumor Segmentation with Densely Connected 3D CNN Lele Chen Yue Wu Adora M. DSouza A. Abidin A. Wismüller Chenliang Xu 39 119 0 18 Jan 2018