Philipp Kickingereder

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 7 papers. Top paper: “Federated learning enables big data for rare cancer boundary detection”.

Federated learning enables big data for rare cancer boundary detection

Nature Communications(2022)10.1038/s41467-022-33407-5

N/A

0.881DataRank · unranked

355 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih‐Han Wang, G. Anthony Reina +95 more

Deep learning super-resolution magnetic resonance spectroscopic imaging of brain metabolism and mutant isocitrate dehydrogenase glioma

Neuro-Oncology Advances(2022)10.1093/noajnl/vdac071

N/A

0DataRank · unranked

12 citations

Bernhard Strasser, Ulf Neuberger, Philipp Kickingereder, Martin Bendszus, Wolfgang Wick +5 more

Author Correction: Federated learning enables big data for rare cancer boundary detection

Nature Communications(2023)10.1038/s41467-023-36188-7

N/A

0DataRank · unranked

5 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-han Wang, G. Anthony Reina +95 more

Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice

The Lancet Oncology(2024)10.1016/s1470-2045(24)00315-2

N/A

0DataRank · unranked

28 citations

Philipp Kickingereder, Norbert Galldiks, Thomas C. Booth, Hugo J.W.L. Aerts, Wenya Linda Bi +21 more

Incorporating Supramaximal Resection into Survival Stratification of IDH-wildtype Glioblastoma: A Refined Multi-institutional Recursive Partitioning Analysis

Clinical Cancer Research(2024)10.1158/1078-0432.ccr-23-3845

N/A

0DataRank · unranked

26 citations

Kyu Sung Choi, Martha Foltyn‐Dumitru, Gianluca Brugnara, Rouzbeh Banan, Sooyon Kim +18 more

Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements

The Lancet Oncology(2024)10.1016/s1470-2045(24)00316-4

N/A

0DataRank · unranked

24 citations

Spyridon Bakas, Pallavi Tiwari, Janine Lupo, Evan Calabrese, Christos Davatzikos +21 more

Addressing the Generalizability of AI in Radiology Using a Novel Data Augmentation Framework with Synthetic Patient Image Data: Proof-of-Concept and External Validation for Classification Tasks in Multiple Sclerosis

Radiology Artificial Intelligence(2024)10.1148/ryai.230514

N/A

0DataRank · unranked

12 citations

Chandrakanth Jayachandran Preetha, Katerina Deike‐Hofmann, Robert Haase, Thomas Pinetz, Martha Foltyn‐Dumitru +10 more