| Deep learning modeling using normal mammograms for predicting breast cancer risk D Arefan, AA Mohamed, WA Berg, ML Zuley, JH Sumkin, S Wu Medical physics 47 (1), 110-118, 2020 | 97 | 2020 |
| Differentiating axillary lymph node metastasis in invasive breast cancer patients: a comparison of radiomic signatures from multiparametric breast MR sequences R Chai, H Ma, M Xu, D Arefan, X Cui, Y Liu, L Zhang, S Wu, K Xu Journal of Magnetic Resonance Imaging 50 (4), 1125-1132, 2019 | 60 | 2019 |
| Pre-operative microvascular invasion prediction using multi-parametric liver MRI radiomics G Nebbia, Q Zhang, D Arefan, X Zhao, S Wu Journal of digital imaging 33, 1376-1386, 2020 | 57 | 2020 |
| Outcome prediction in patients with severe traumatic brain injury using deep learning from head CT scans M Pease, D Arefan, J Barber, E Yuh, A Puccio, K Hochberger, ... Radiology 304 (2), 385-394, 2022 | 46 | 2022 |
| Deep-learning method for tumor segmentation in breast DCE-MRI L Zhang, Z Luo, R Chai, D Arefan, J Sumkin, S Wu Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and …, 2019 | 41 | 2019 |
| Machine learning prediction of axillary lymph node metastasis in breast cancer: 2D versus 3D radiomic features D Arefan, R Chai, M Sun, ML Zuley, S Wu Medical Physics, 2020 | 37 | 2020 |
| Automatic breast density classification using neural network D Arefan, A Talebpour, N Ahmadinejhad, AK Asl Journal of Instrumentation 10 (12), T12002, 2015 | 37 | 2015 |
| A machine and human reader study on AI diagnosis model safety under attacks of adversarial images Q Zhou, M Zuley, Y Guo, L Yang, B Nair, A Vargo, S Ghannam, D Arefan, ... Nature communications 12 (1), 7281, 2021 | 29 | 2021 |
| Radiomics-based features for prediction of histological subtypes in central lung cancer H Li, L Gao, H Ma, D Arefan, J He, J Wang, H Liu Frontiers in Oncology 11, 658887, 2021 | 24 | 2021 |
| Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes D Arefan, RM Hausler, JH Sumkin, M Sun, S Wu BMC cancer 21, 1-9, 2021 | 21 | 2021 |
| Machine learning to identify metabolic subtypes of obesity: a multi-center study Z Lin, W Feng, Y Liu, C Ma, D Arefan, D Zhou, X Cheng, J Yu, L Gao, L Du, ... Frontiers in Endocrinology 12, 713592, 2021 | 17 | 2021 |
| Deep learning of longitudinal mammogram examinations for breast cancer risk prediction S Dadsetan, D Arefan, WA Berg, ML Zuley, JH Sumkin, S Wu Pattern recognition 132, 108919, 2022 | 14 | 2022 |
| One-class classification for highly imbalanced medical image data L Gao, L Yang, D Arefan, S Wu Medical imaging 2020: Imaging informatics for healthcare, research, and …, 2020 | 14 | 2020 |
| Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images J Luo, G Kitamura, E Doganay, D Arefan, S Wu Medical Imaging 2021: Computer-Aided Diagnosis 11597, 247-252, 2021 | 11 | 2021 |
| Knowledge-guided multiview deep curriculum learning for elbow fracture classification J Luo, G Kitamura, D Arefan, E Doganay, A Panigrahy, S Wu Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 10 | 2021 |
| Identifying prognostic markers from clinical, radiomics, and deep learning imaging features for gastric cancer survival prediction D Hao, Q Li, QX Feng, L Qi, XS Liu, D Arefan, YD Zhang, S Wu Frontiers in oncology 11, 725889, 2022 | 9 | 2022 |
| A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma L Yang, L Gao, D Arefan, Y Tan, H Dan, J Zhang BMC Medical Imaging 22 (1), 15, 2022 | 9 | 2022 |
| SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables D Hao, Q Li, QX Feng, L Qi, XS Liu, D Arefan, YD Zhang, S Wu Artificial Intelligence in Medicine 134, 102424, 2022 | 7 | 2022 |
| Deep learning of early brain imaging to predict post-arrest electroencephalography J Elmer, C Liu, M Pease, D Arefan, PJ Coppler, KL Flickinger, ... Resuscitation 172, 17-23, 2022 | 7 | 2022 |
| Radiomics-informed deep curriculum learning for breast cancer diagnosis G Nebbia, S Dadsetan, D Arefan, ML Zuley, JH Sumkin, H Huang, S Wu Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 7 | 2021 |
