@inproceedings{1c6a87cef62b4126ab9183c7b1590432,
title = "Some New Tricks for Deep Glioma Segmentation",
abstract = "This manuscript outlines the design of methods, and initial progress on automatic detection of glioma from MRI images using deep neural networks, all applied and evaluated for the 2020 Brain Tumor Segmentation (BraTS) Challenge. Our approach builds on existing work using U-net architectures, and evaluates a variety deep learning techniques including model averaging and adaptive learning rates.",
keywords = "Deep learning, Glioma segmentation, Learning rates, Uncertainty in glioma segmentation",
author = "Chase Duncan and Francis Roxas and Neel Jani and Jane Maksimovic and Matthew Bramlet and Brad Sutton and Sanmi Koyejo",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 6th International MICCAI Brainlesion Workshop, BrainLes 2020 Held in Conjunction with 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020 ; Conference date: 04-10-2020 Through 04-10-2020",
year = "2021",
doi = "10.1007/978-3-030-72087-2_28",
language = "English (US)",
isbn = "9783030720865",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "320--330",
editor = "Alessandro Crimi and Spyridon Bakas",
booktitle = "Brainlesion",
address = "Germany",
}