Maxime Bassenne

EngineeringEarth and Planetary SciencesEnvironmental SciencePhysics and Astronomy

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 2 papers. Top paper: “Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions”.

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

IEEE Transactions on Medical Imaging(2020)10.1109/tmi.2020.3031913

N/A

0DataRank · unranked

23 citations

Maxime Bassenne, Lei Xing, Hyunseok Seo

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

Computers in Biology and Medicine(2021)10.1016/j.compbiomed.2021.105139

N/A

0DataRank · unranked

2 citations

Maxime Bassenne, Dimitre Hristov, Md Tauhidul Islam, Wei Zhao, Mengyu Jia +6 more