Maxime Bassenne - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 5 from 5

2023

Image classification using graph neural network and multiscale wavelet superpixelsVarun Vasudevan, Maxime Bassenne, Md Tauhidul Islam, Lei Xing 0001. prl, 166:89-96, February 2023. [doi]

2022

Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapyXiaokun Liang, Maxime Bassenne, Dimitre H. Hristov, Md Tauhidul Islam, Wei Zhao 0029, Mengyu Jia, Zhicheng Zhang, Michael Gensheimer 0001, Beth Beadle, Quynh Le, Lei Xing 0001. cbm, 141:105139, 2022. [doi]

2021

Time-Accurate and highly-Stable Explicit operators for stiff differential equationsMaxime Bassenne, Lin Fu, Ali Mani. jcphy, 424:109847, 2021. [doi]

Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss FunctionsHyunseok Seo, Maxime Bassenne, Lei Xing. tmi, 40(2):585-593, 2021. [doi]

2020

Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT ImagesHyunseok Seo, Charles Huang, Maxime Bassenne, Ruoxiu Xiao, Lei Xing. tmi, 39(5):1316-1325, 2020. [doi]

Sign in or sign up to see more results.

runs on WebDSL