D. Arefan

发表

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

D. Okonkwo, E. Yuh, N. Temkin, 2022, Radiology.

Machine learning prediction of axillary lymph node metastasis in breast cancer: 2D versus 3D radiomic features.

M. Zuley, Shandong Wu, Ruimei Chai, 2020, Medical physics.

Multicenter and prospective trial of anti-epileptics for early seizure prevention in mild traumatic brain injury with a positive computed tomography scan

B. Jankowitz, Siyuan Yu, M. Pease, 2022, Surgical neurology international.

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

J. Sumkin, Shandong Wu, D. Arefan, 2020 .

A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation

Tariq Salim, A. Duarte-Rojo, Shandong Wu, 2022, Artif. Intell. Medicine.

SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables

Yu-Dong Zhang, Xisheng Liu, Shandong Wu, 2022, Artif. Intell. Medicine.

Identifying Prognostic Markers From Clinical, Radiomics, and Deep Learning Imaging Features for Gastric Cancer Survival Prediction

Yu-Dong Zhang, Xisheng Liu, Shandong Wu, 2022, Frontiers in Oncology.

Deep Neural Network Analysis of CT Scans to Predict Outcomes in a Prospective Database of Severe Traumatic Brain Injury Patients

D. Okonkwo, A. Puccio, Shandong Wu, 2020, Neurosurgery.

Deep learning modeling using normal mammograms for predicting breast cancer risk.

Shandong Wu, Margarita L Zuley, Jules H Sumkin, 2019, Medical physics.

A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma

Jiuquan Zhang, D. Arefan, Yuchuan Tan, 2022, BMC Medical Imaging.

Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics

Shandong Wu, Giacomo Nebbia, Qian Zhang, 2020, Journal of Digital Imaging.

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

M. Zuley, Yuan Guo, Shandong Wu, 2021, Nature Communications.

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

Shandong Wu, D. Arefan, G. Kitamura, 2023, ArXiv.

Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images

Shandong Wu, Dooman Arefan, Emine Doganay, 2021, Medical Imaging.

Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis

Shandong Wu, Margarita L. Zuley, Jules H. Sumkin, 2021, MICCAI.

Contrast-enhanced Mammography-guided Biopsy: Initial Trial and Experience

Amy E. Kelly, Amy Lu, J. Sumkin, 2023, Journal of Breast Imaging.

Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes

J. Sumkin, Shandong Wu, D. Arefan, 2021, BMC cancer.

Differentiating axillary lymph node metastasis in invasive breast cancer patients: A comparison of radiomic signatures from multiparametric breast MR sequences

Mingjie Xu, Ke-qiang Xu, Shandong Wu, 2019, Journal of magnetic resonance imaging : JMRI.

Machine Learning to Identify Metabolic Subtypes of Obesity: A Multi-Center Study

Donglei Zhou, Dalong Zhu, Shandong Wu, 2021, Frontiers in Endocrinology.

Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification

A. Panigrahy, Chang Liu, M. Zuley, 2021, ArXiv.

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

D. Okonkwo, S. Eagle, Shandong Wu, 2023, Neurosurgical focus.

Deep-learning method for tumor segmentation in breast DCE-MRI

Shandong Wu, Jules H. Sumkin, Lei Zhang, 2019, Medical Imaging.

Deep learning of longitudinal mammogram examinations for breast cancer risk prediction

J. Sumkin, M. Zuley, W. Berg, 2022, Pattern Recognit..

Deep learning of early brain imaging to predict post-arrest electroencephalography.

Chang Liu, J. Elmer, M. Baldwin, 2022, Resuscitation.

Anterior cruciate ligament classification in knee MRI using automated pseudo-masking

V. Musahl, M. Albers, Shandong Wu, 2023, Medical Imaging.

Radiomics-Based Features for Prediction of Histological Subtypes in Central Lung Cancer

Hu Liu, He Ma, Jiaqi Wang, 2021, Frontiers in Oncology.

One-class classification for highly imbalanced medical image data

Shandong Wu, Long Gao, Lu Yang, 2020, Medical Imaging.

Multi-space-enabled deep learning of breast tumors improves prediction of distant recurrence risk

Rohit Bhargava, Shandong Wu, Dooman Arefan, 2019, Medical Imaging.

Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization

Shandong Wu, D. Arefan, Degan Hao, 2022, Medical Imaging.

Adversarially Robust Feature Learning for Breast Cancer Diagnosis

M. Zuley, D. Arefan, Degan Hao, 2024, 2402.08768.