Beiji Zou

MedicineComputer 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 3 papers. Top paper: “Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging”.

Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging

Clinical Cancer Research(2020)10.1158/1078-0432.ccr-19-0374

N/A

0DataRank · unranked

146 citations

Yijun Zhao, Robin Wang, Marcello Chang, Subhanik Purkayastha, Ken Chang +13 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