🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Niklas Tillmanns

Yale University

ORCID: 0000-0002-9366-7183
MedicineNeuroscienceComputer Science

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 6 papers. Top paper: “Trends in Development of Novel Machine Learning Methods for the Identification of Gliomas in Datasets That Include Non-Glioma Images: A Systematic Review”.

Trends in Development of Novel Machine Learning Methods for the Identification of Gliomas in Datasets That Include Non-Glioma Images: A Systematic Review

Frontiers in Oncology(2021)10.3389/fonc.2021.788819
N/A
0DataRank · unranked
13 citations

Rahul Dey, Waverly Rose Brim, Niklas Tillmanns, Gabriel Cassinelli Petersen, Alexandria Brackett +5 more

Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis

Frontiers in Oncology(2022)10.3389/fonc.2022.856231
N/A
0DataRank · unranked
18 citations

Sara Merkaj, Gabriel Cassinelli Petersen, Niklas Tillmanns, Harry Subramanian, Waverly Rose Brim +13 more

Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries

Neuro-Oncology Advances(2022)10.1093/noajnl/vdac093
N/A
0DataRank · unranked
7 citations

Avery E Lum, Gabriel Cassinelli, Sara Merkaj, T. Verma, Tal Zeevi +18 more

Comparison of volumetric and 2D-based response methods in the PNOC-001 pediatric low-grade glioma clinical trial

Neuro-Oncology Advances(2023)10.1093/noajnl/vdad172
N/A
0DataRank · unranked
9 citations

Divya Ramakrishnan, Sarah C. Brüningk, Fatima Memon, Sandra Abi Fadel, Nazanin Maleki +18 more

Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction

American Journal of Neuroradiology(2023)10.3174/ajnr.a8000
N/A
0DataRank · unranked
7 citations

Leon Jekel, Marc von Reppert, Niklas Tillmanns, Sara Merkaj, Gabriel Cassinelli Petersen +19 more

Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical magnetic resonance imaging

Neuro-Oncology Advances(2024)10.1093/noajnl/vdae157
N/A
0DataRank · unranked
5 citations

Nader A. Fawzy, Leon Jekel, Marc von Reppert, Niklas Tillmanns, Klara Willms +13 more