Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics
Nebbia, Giacomo, Zhang, Qian, Arefan, Dooman, Zhao, Xinxiang, Wu, Shandong
Published in Journal of digital imaging (01.12.2020)
Published in Journal of digital imaging (01.12.2020)
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Journal Article
Differentiating axillary lymph node metastasis in invasive breast cancer patients: A comparison of radiomic signatures from multiparametric breast MR sequences
Chai, Ruimei, Ma, He, Xu, Mingjie, Arefan, Dooman, Cui, Xiaoyu, Liu, Yi, Zhang, Lina, Wu, Shandong, Xu, Ke
Published in Journal of magnetic resonance imaging (01.10.2019)
Published in Journal of magnetic resonance imaging (01.10.2019)
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Journal Article
A machine and human reader study on AI diagnosis model safety under attacks of adversarial images
Zhou, Qianwei, Zuley, Margarita, Guo, Yuan, Yang, Lu, Nair, Bronwyn, Vargo, Adrienne, Ghannam, Suzanne, Arefan, Dooman, Wu, Shandong
Published in Nature communications (14.12.2021)
Published in Nature communications (14.12.2021)
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Journal Article
Deep learning of mammogram images to reduce unnecessary breast biopsies: a preliminary study
Liu, Chang, Sun, Min, Arefan, Dooman, Zuley, Margarita, Sumkin, Jules, Wu, Shandong
Published in Breast cancer research : BCR (24.05.2024)
Published in Breast cancer research : BCR (24.05.2024)
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Journal Article
Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes
Arefan, Dooman, Hausler, Ryan M, Sumkin, Jules H, Sun, Min, Wu, Shandong
Published in BMC cancer (07.04.2021)
Published in BMC cancer (07.04.2021)
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Journal Article
Radiomics-Based Features for Prediction of Histological Subtypes in Central Lung Cancer
Li, Huanhuan, Gao, Long, Ma, He, Arefan, Dooman, He, Jiachuan, Wang, Jiaqi, Liu, Hu
Published in Frontiers in oncology (29.04.2021)
Published in Frontiers in oncology (29.04.2021)
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Journal Article
Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning
Zhou, Zhengbo, Luo, Jun, Arefan, Dooman, Kitamura, Gene, Wu, Shandong
Published in 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (01.04.2023)
Published in 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (01.04.2023)
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Conference Proceeding
Journal Article
Deep Neural Network Analysis of CT Scans to Predict Outcomes in a Prospective Database of Severe Traumatic Brain Injury Patients
Pease, Matthew, Arefan, Dooman, Biligen, Julia, Sharpless, Jane, Puccio, Ava, Hochberger, Kerri, Roy, Souvik, Casillo, Stephanie, Wu, Shandong, Okonkwo, David O
Published in Neurosurgery (01.12.2020)
Published in Neurosurgery (01.12.2020)
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Journal Article
A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma
Yang, Lu, Gao, Long, Arefan, Dooman, Tan, Yuchuan, Dan, Hanli, Zhang, Jiuquan
Published in BMC medical imaging (30.01.2022)
Published in BMC medical imaging (30.01.2022)
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Journal Article
Prospective Trial of Anti-Epileptics for Early Seizure Prevention in Mild Traumatic Brain Injury
Pease, Matthew, Semroc, Suzan, Arefan, Dooman, Kwiatkowski, Sarah, Simon, Alyssa, Fagert, Van, Legarreta, Andrew D, Hamilton, D. Kojo, Kaufmann, David L, Miele, Vincent J, Jankowitz, Brian T
Published in Neurosurgery (01.12.2020)
Published in Neurosurgery (01.12.2020)
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Journal Article
Machine Learning to Identify Metabolic Subtypes of Obesity: A Multi-Center Study
Lin, Ziwei, Feng, Wenhuan, Liu, Yanjun, Ma, Chiye, Arefan, Dooman, Zhou, Donglei, Cheng, Xiaoyun, Yu, Jiahui, Gao, Long, Du, Lei, You, Hui, Zhu, Jiangfan, Zhu, Dalong, Wu, Shandong, Qu, Shen
Published in Frontiers in endocrinology (Lausanne) (14.07.2021)
Published in Frontiers in endocrinology (Lausanne) (14.07.2021)
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Journal Article
Identifying Prognostic Markers From Clinical, Radiomics, and Deep Learning Imaging Features for Gastric Cancer Survival Prediction
Hao, Degan, Li, Qiong, Feng, Qiu-Xia, Qi, Liang, Liu, Xi-Sheng, Arefan, Dooman, Zhang, Yu-Dong, Wu, Shandong
Published in Frontiers in oncology (02.02.2022)
Published in Frontiers in oncology (02.02.2022)
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Journal Article
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification
Luo, Jun, Kitamura, Gene, Dooman Arefan, Doganay, Emine, Panigrahy, Ashok, Wu, Shandong
Published in arXiv.org (20.10.2021)
Published in arXiv.org (20.10.2021)
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Paper
Journal Article
Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images
Luo, Jun, Kitamura, Gene, Doganay, Emine, Dooman Arefan, Wu, Shandong
Published in arXiv.org (20.10.2021)
Published in arXiv.org (20.10.2021)
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Paper
Journal Article
Interpretable machine learning model for imaging-based outcome prediction after cardiac arrest
Liu, Chang, Elmer, Jonathan, Arefan, Dooman, Pease, Matthew, Wu, Shandong
Published in Resuscitation (01.10.2023)
Published in Resuscitation (01.10.2023)
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Journal Article
Deep learning modeling using normal mammograms for predicting breast cancer risk
Arefan, Dooman, Mohamed, Aly A, Berg, Wendie A, Zuley, Margarita L, Sumkin, Jules H, Wu, Shandong
Published in Medical physics (Lancaster) (01.01.2020)
Published in Medical physics (Lancaster) (01.01.2020)
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Journal Article
Deep learning of longitudinal mammogram examinations for breast cancer risk prediction
Dadsetan, Saba, Arefan, Dooman, Berg, Wendie A., Zuley, Margarita L., Sumkin, Jules H., Wu, Shandong
Published in Pattern recognition (01.12.2022)
Published in Pattern recognition (01.12.2022)
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Journal Article
Comparison of machine learning models to predict long-term outcomes after severe traumatic brain injury
Arefan, Dooman, Pease, Matthew, Eagle, Shawn R, Okonkwo, David O, Wu, Shandong
Published in Neurosurgical focus (01.06.2023)
Published in Neurosurgical focus (01.06.2023)
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Journal Article