Maxime Bassenne

According to our database, Maxime Bassenne authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Image classification using graph neural network and multiscale wavelet superpixels.

Varun Vasudevan, Maxime Bassenne, Md Tauhidul Islam, Lei Xing

Pattern Recognit. Lett., February, 2023

2022

Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapy.

Xiaokun Liang, Maxime Bassenne, Dimitre H. Hristov, Md Tauhidul Islam, Wei Zhao, Mengyu Jia, Zhicheng Zhang, Michael Gensheimer, Beth M. Beadle, Quynh Le, Lei Xing

Comput. Biol. Medicine, 2022

2021

Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions.

Hyunseok Seo, Maxime Bassenne, Lei Xing

IEEE Trans. Medical Imaging, 2021

Time-Accurate and highly-Stable Explicit operators for stiff differential equations.

Maxime Bassenne, Lin Fu, Ali Mani

J. Comput. Phys., 2021

2020

Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images.

Hyunseok Seo, Charles W. Huang, Maxime Bassenne, Ruoxiu Xiao, Lei Xing

IEEE Trans. Medical Imaging, 2020

Computational model discovery with reinforcement learning.

Maxime Bassenne, Adrián Lozano-Durán

CoRR, 2020