Dooman Arefan

发表

Interpretable machine learning model for imaging-based outcome prediction after cardiac arrest.

Chang Liu, J. Elmer, Shandong Wu, 2023, Resuscitation.

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

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

Deep learning of longitudinal mammogram examinations for breast cancer risk prediction

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

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.

Deep curriculum learning in task space for multi-class based mammography diagnosis

J. Sumkin, M. Zuley, Shandong Wu, 2021, Medical Imaging.

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

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

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.

An automatic pipeline for data shift detection and mitigation to improve outcome prediction of traumatic brain injury

Shandong Wu, Dooman Arefan, Jiren Li, 2024, Medical Imaging.

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

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

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

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

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.

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

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

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

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

Quantitative radiomics and qualitative LI-RADS imaging descriptors for non-invasive assessment of β-catenin mutation status in hepatocellular carcinoma.

Negaur Iranpour, A. Singhi, S. Monga, 2024, Abdominal radiology.