Quan Liu

Suzhou University of Science and Technology

Computer 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 11 papers. Top paper: “Digital Modeling on Large Kernel Metamaterial Neural Network”.

Digital Modeling on Large Kernel Metamaterial Neural Network

Journal of Imaging Science and Technology(2023)10.2352/j.imagingsci.technol.2023.67.6.060404

N/A

0DataRank · unranked

7 citations

Hanyu Zheng, Brandon T. Swartz, Ho Hin Lee, Zuhayr Asad, Ivan I. Kravchenko +3 more

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging

arXiv (Cornell University)(2023)10.48550/arxiv.2304.04155

N/A

0DataRank · unranked

97 citations

Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao +11 more

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning

Lecture notes in computer science(2023)10.1007/978-3-031-43987-2_48

N/A

0DataRank · unranked

6 citations

Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev +9 more

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

arXiv (Cornell University)(2023)10.48550/arxiv.2306.00047

N/A

0DataRank · unranked

0 citations

Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev +9 more

Evaluation kidney layer segmentation on whole slide imaging using convolutional neural networks and transformers

PubMed(2024)10.1117/12.3006865

N/A

0DataRank · unranked

0 citations

Chenyang Qi, Shunxing Bao, Quan Liu, Ruining Deng, Yu Wang +4 more

Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network

PubMed(2024)10.1109/isbi56570.2024.10635687

N/A

0DataRank · unranked

0 citations

Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios +14 more

Dataset Distillation in Medical Imaging: A Feasibility Study

arXiv (Cornell University)(2024)10.48550/arxiv.2407.14429

N/A

0DataRank · unranked

0 citations

Can Cui, Quan Liu, Ruining Deng, Tianyuan Yao, Marilyn Lionts +2 more

Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology

arXiv (Cornell University)(2024)10.48550/arxiv.2408.06381

N/A

0DataRank · unranked

0 citations

Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Tao, Zhewen +12 more

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging

Electronic Imaging(2025)10.2352/ei.2025.37.14.coimg-132

N/A

0DataRank · unranked

47 citations

Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao +11 more

Assessment of cell nuclei AI foundation models in kidney pathology

PubMed(2025)10.1117/12.3047301

N/A

0DataRank · unranked

3 citations

Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Zhewen Tao +12 more

Quantitative benchmarking of anomaly detection methods in digital pathology images

Machine Learning Health(2025)10.1088/3049-477x/ae0f9f

N/A

0DataRank · unranked

0 citations

Xindong Zheng, Ruining Deng, Quan Liu, Tianyuan Yao, Keith T. Wilson +6 more