Zijian Zhou

Also affiliated with The University of Texas MD Anderson Cancer Center, Nanchang University, King's College London, ShanghaiTech University, First Affiliated Hospital of Jiangxi Medical College, Second Affiliated Hospital of Nanchang University, Universidad de Londres, University College London

MedicineBiochemistry, Genetics and Molecular Biology

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 9 papers. Top paper: “MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer”.

MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer

Cancer Research(2022)10.1158/0008-5472.can-22-1329

N/A

1.6DataRank · unranked

75 citations

Angela M. Jarrett, Zijian Zhou, Nabil Elshafeey, Beatriz E. Adrada, Rosalind P. Candelaria +13 more

Automated Brain Metastases Segmentation With a Deep Dive Into False-positive Detection

Advances in Radiation Oncology(2022)10.1016/j.adro.2022.101085

N/A

0DataRank · unranked

24 citations

Carlos Cárdenas, D.N. Yeboa, Jing Li, Sherise D. Ferguson, Jason M. Johnson +7 more

Prediction of pathologic complete response to neoadjuvant systemic therapy in triple negative breast cancer using deep learning on multiparametric MRI

Scientific Reports(2023)10.1038/s41598-023-27518-2

N/A

0DataRank · unranked

44 citations

Beatriz E. Adrada, Rosalind P. Candelaria, Nabil Elshafeey, Medine Böge, Rania M. Mohamed +22 more

Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer

Cancers(2023)10.3390/cancers15194829

N/A

0DataRank · unranked

9 citations

David E Rauch, Rania M. Mohamed, Sanaz Pashapoor, Zijian Zhou, Bikash Panthi +26 more

Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer

Frontiers in Oncology(2023)10.3389/fonc.2023.1264259

N/A

0DataRank · unranked

10 citations

Rania M. Mohamed, Beatriz E. Adrada, Medine Böge, Rosalind P. Candelaria, Huiqin Chen +24 more

Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting

Journal of Computational Science(2023)10.1016/j.jocs.2023.102006

N/A

0DataRank · unranked

7 citations

Ernesto A. B. F. Lima, Chengyue Wu, Angela M. Jarrett, Zijian Zhou, Nabil Elshafeey +4 more

Predicting pathological complete response to neoadjuvant systemic therapy for triple-negative breast cancers using deep learning on multiparametric MRIs

PubMed(2023)10.1109/embc40787.2023.10340987

N/A

0DataRank · unranked

2 citations

Beatriz E. Adrada, Rosalind P. Candelaria, Nabil Elshafeey, Medine Böge, Rania M. Mohamed +22 more

Data from MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer

(2023)10.1158/0008-5472.c.6514223.v1

N/A

0DataRank · unranked

0 citations

Angela M. Jarrett, Zijian Zhou, Nabil Elshafeey, Beatriz E. Adrada, Rosalind P. Candelaria +13 more

Data from MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer

(2023)10.1158/0008-5472.c.6514223

N/A

0DataRank · unranked

0 citations

Angela M. Jarrett, Zijian Zhou, Nabil Elshafeey, Beatriz E. Adrada, Rosalind P. Candelaria +13 more