Shandong Wu

Also affiliated with Sino Biological (China)

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 26 papers. Top paper: “Handling imbalanced medical image data: A deep-learning-based one-class classification approach”.

Handling imbalanced medical image data: A deep-learning-based one-class classification approach

Artificial Intelligence in Medicine(2020)10.1016/j.artmed.2020.101935

N/A

0DataRank · unranked

155 citations

Lei Zhang, Chang Liu, Shandong Wu, Long Gao

Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance

IEEE Journal of Biomedical and Health Informatics(2020)10.1109/jbhi.2020.2974425

N/A

0DataRank · unranked

49 citations

Lei Zhang, Jules H. Sumkin, Aly A. Mohamed, Shandong Wu, Degan Hao

Response score of deep learning for out-of-distribution sample detection of medical images

Journal of Biomedical Informatics(2020)10.1016/j.jbi.2020.103442

N/A

0DataRank · unranked

10 citations

Shandong Wu, Long Gao

Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study

Journal of Digital Imaging(2020)10.1007/s10278-020-00369-3

N/A

0DataRank · unranked

27 citations

Sarah Aboutalib, Aly A. Mohamed, Jules H. Sumkin, Shandong Wu, Kadie Clancy

Predicting Cell Line Invasion in Breast Tumor Microenvironment from Radiological Imaging Phenotypes

Research Square (Research Square)(2020)10.21203/rs.3.rs-64369/v1

N/A

0DataRank · unranked

0 citations

Ryan Hausler, Jules H. Sumkin, Minyuan Sun, Shandong Wu, Dooman Arefan

A machine and human reader study on AI diagnosis model safety under attacks of adversarial images

Nature Communications(2021)10.1038/s41467-021-27577-x

N/A

0DataRank · unranked

65 citations

Margarita L. Zuley, Yuan Guo, Lü Yang, Bronwyn Nair, Adrienne Vargo +4 more

Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes

BMC Cancer(2021)10.1186/s12885-021-08122-x

N/A

0DataRank · unranked

62 citations

Ryan Hausler, Jules H. Sumkin, Min Sun, Shandong Wu, Dooman Arefan

Machine learning for the prediction of pathologic pneumatosis intestinalis

Surgery(2021)10.1016/j.surg.2021.03.049

N/A

0DataRank · unranked

5 citations

Esmaeel R. Dadashzadeh, Robert Handzel, Caroline J. Rieser, J. B. Moses, Lauren Rosenblum +2 more

Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification

Lecture notes in computer science(2021)10.1007/978-3-030-87589-3_57

N/A

0DataRank · unranked

11 citations

Gene Kitamura, Dooman Arefan, Emine Doğanay, Ashok Panigrahy, Shandong Wu +1 more

Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis

Lecture notes in computer science(2021)10.1007/978-3-030-87240-3_61

N/A

0DataRank · unranked

9 citations

Saba Dadsetan, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Heng Huang +2 more

Outcome Prediction in Patients with Severe Traumatic Brain Injury Using Deep Learning from Head CT Scans

Radiology(2022)10.1148/radiol.212181

N/A

0DataRank · unranked

100 citations

Dooman Arefan, Jason Barber, Esther L. Yuh, Ava M. Puccio, Kerri Hochberger +24 more

Deep learning of longitudinal mammogram examinations for breast cancer risk prediction

Pattern Recognition(2022)10.1016/j.patcog.2022.108919

N/A

0DataRank · unranked

50 citations

Dooman Arefan, Wendie A. Berg, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu +1 more

Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence(2022)10.24963/ijcai.2022/301

N/A

0DataRank · unranked

104 citations

Shandong Wu, Jun Luo

Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)(2022)10.1109/isbi52829.2022.9761404

N/A

0DataRank · unranked

33 citations

Shandong Wu, Jun Luo

Comparison of machine learning models to predict long-term outcomes after severe traumatic brain injury

Neurosurgical FOCUS(2023)10.3171/2023.3.focus2376

N/A

0DataRank · unranked

16 citations

Matthew Pease, Shawn R. Eagle, David O. Okonkwo, Shandong Wu, Dooman Arefan

PGFed: Personalize Each Client’s Global Objective for Federated Learning

PubMed(2023)10.1109/iccv51070.2023.00365

N/A

0DataRank · unranked

11 citations

Matías Mendieta, Chen Chen, Shandong Wu, Jun Luo

Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning

PubMed(2023)10.1109/isbi53787.2023.10230597

N/A

0DataRank · unranked

3 citations

Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu, Zhengbo Zhou

Human not in the loop: objective sample difficulty measures for Curriculum Learning

arXiv (Cornell University)(2023)10.48550/arxiv.2302.01243

N/A

0DataRank · unranked

0 citations

Jun Luo, Arefan, Dooman, Gene Kitamura, Shandong Wu, Zhengbo Zhou

Deep learning of mammogram images to reduce unnecessary breast biopsies: a preliminary study

Breast Cancer Research(2024)10.1186/s13058-024-01830-9

N/A

0DataRank · unranked

13 citations

Min Sun, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu +1 more

Assessment of Background Parenchymal Enhancement at Dynamic Contrast-enhanced MRI in Predicting Breast Cancer Recurrence Risk

Radiology(2024)10.1148/radiol.230269

N/A

0DataRank · unranked

16 citations

Margarita L. Zuley, Wendie A. Berg, Lu Yang, Jules H. Sumkin, Shandong Wu +1 more

Medical Knowledge-Enabled Multi-Task Learning for Gastric Cancer Survival Prediction

(2024)10.1109/isbi56570.2024.10635330

N/A

0DataRank · unranked

1 citations

Qiong Li, Yu‐Dong Zhang, Shandong Wu, Degan Hao

Adversarially Robust Feature Learning for Breast Cancer Diagnosis

arXiv (Cornell University)(2024)10.48550/arxiv.2402.08768

N/A

0DataRank · unranked

0 citations

Dooman Arefan, Margarita L. Zuley, Wendie A. Berg, Shandong Wu, Degan Hao

Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models

arXiv (Cornell University)(2024)10.48550/arxiv.2410.10114

N/A

0DataRank · unranked

0 citations

Chen Chen, Shandong Wu, Jun Luo

Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks

arXiv (Cornell University)(2024)10.48550/arxiv.2411.00837

N/A

0DataRank · unranked

0 citations

Degan Hao, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu +1 more

Longitudinal Mammogram Exam-Based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks

Lecture notes in computer science(2025)10.1007/978-3-032-05559-0_35

N/A

0DataRank · unranked

0 citations

Degan Hao, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Lars J. Grimm +3 more

$Δ$t-Mamba3D: A Time-Aware Spatio-Temporal State-Space Model for Breast Cancer Risk Prediction

arXiv (Cornell University)(2025)10.48550/arxiv.2510.19003

N/A

0DataRank · unranked

0 citations

Dooman Arefan, Margarita L. Zuley, Shandong Wu, Zhengbo Zhou