Chengzhang Zhu

MedicineNeuroscience

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 3 papers. Top paper: “Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging”.

Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging

American Journal of Neuroradiology(2020)10.3174/ajnr.a6621

N/A

0.637DataRank · unranked

69 citations

Rong Hu, Oliver Y. Tang, Chongyu Hu, Lei Tang, Ken Chang +11 more

Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors

Neuro-Oncology(2021)10.1093/neuonc/noab151

N/A

0DataRank · unranked

76 citations

Daniel D Kim, Jay Patel, Xiaowei Zeng, Jiaer Huang, Ken Chang +20 more

An Automated Deep Learning-Based Framework for Uptake Segmentation and Classification on PSMA PET/CT Imaging of Patients with Prostate Cancer

Journal of Imaging Informatics in Medicine(2024)10.1007/s10278-024-01104-y

N/A

0DataRank · unranked

18 citations

Maliha Imami, Linmei Zhao, Alireza Amindarolzarbi, Esther Mena, Jeffrey P. Leal +13 more