Tianhao Zhao

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 4 papers. Top paper: “Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer”.

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer

American Journal Of Pathology(2020)10.1016/j.ajpath.2020.03.012

N/A

0DataRank · unranked

117 citations

Rajarsi Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Luke A. Torre-Healy +12 more

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

Frontiers in Neuroscience(2020)10.3389/fnins.2020.00027

N/A

0DataRank · unranked

98 citations

Spyridon Bakas, Xuhua Ren, Aditya Bagari, Alexandre Momeni, Yue Huang +19 more

Deep Learning-Based Mapping of Tumor Infiltrating Lymphocytes in Whole Slide Images of 23 Types of Cancer

Frontiers in Oncology(2022)10.3389/fonc.2021.806603

N/A

0DataRank · unranked

79 citations

Rajarsi Gupta, Le Hou, Rebecca Batiste, Tianhao Zhao, Anand Shankar +6 more

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

UNC Libraries(2025)10.17615/k55d-nq81

N/A

0DataRank · unranked

0 citations

Qian Wang, Avinash Kori, Mahendra Khened, Tianhao Zhao, Keyvan Farahani +19 more