Daniel Lafontaine

Medicine

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 5 papers. Top paper: “The Quest for an Accurate Functional Tumor Volume with 68Ga-DOTATATE PET/CT”.

The Quest for an Accurate Functional Tumor Volume with 68Ga-DOTATATE PET/CT

Journal of Nuclear Medicine(2021)10.2967/jnumed.121.262782

N/A

1.1DataRank · unranked

19 citations

C. Ross Schmidtlein, Romina Grazia Giancipoli, Audrey Mauguen, Daniel Lafontaine, Heiko Schöder +2 more

TriDFusion (3DF) image viewer

EJNMMI Physics(2022)10.1186/s40658-022-00501-y

N/A

0.312DataRank · unranked

7 citations

C. Ross Schmidtlein, Assen S. Kirov, Ryan Reddy, Simone Krebs, Heiko Schöder +2 more

Conventional and novel [18F]FDG PET/CT features as predictors of CAR-T cell therapy outcome in large B-cell lymphoma

Journal of Hematology & Oncology(2024)10.1186/s13045-024-01540-x

N/A

0DataRank · unranked

39 citations

Jessica Flynn, Sean M. Devlin, Audrey Mauguen, Teng Fei, Shang Zeng +23 more

Three-Dimensional Margin as a Predictor of Local Tumor Progression after Microwave Ablation: Intraprocedural versus 4–8-Week Postablation Assessment

Journal of Vascular and Interventional Radiology(2024)10.1016/j.jvir.2024.01.001

N/A

0DataRank · unranked

28 citations

Vlasios S. Sotirchos, Assen S. Kirov, Daniel Lafontaine, Mithat Gönen, Randy Yeh +9 more

Brown adipose tissue machine learning nnU-Net V2 network using TriDFusion (3DF)

EJNMMI Research(2025)10.1186/s13550-025-01303-w

N/A

0DataRank · unranked

0 citations

Stephanie Chahwan, Gustavo Barraza, Burçin Ağrıdağ Üçpınar, Gunjan Kayal, Nicolás Gómez-Banoy +4 more