Maya Galperin-Aizenberg

Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia

George Shih, Carol C. Wu, Safwan S. Halabi et al. · Radiology Artificial Intelligence · 2019 · 317 citations · Full text

A Combined Pulmonary-Radiology Workshop for Visual Evaluation of COPD: Study Design, Chest CT Findings and Concordance with Quantitative Evaluation

Eugene A. Berkowitz, Francesca Bigazzi, F. R. Bode et al. · COPD Journal of Chronic Obstructive Pulmonary Disease · 2012 · 173 citations · Full text

Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports

Po‐Hao Chen, Hanna M. Zafar, Maya Galperin-Aizenberg et al. · Journal of Digital Imaging · 2017 · 100 citations

Natural Language Processing, Health Informatics, Engineering +14

Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy

Hongming Li, Maya Galperin-Aizenberg, Daniel A. Pryma et al. · Radiotherapy and Oncology · 2018 · 96 citations · Full text

Adaptive Radiotherapy, Machine Learning, Radiation Therapy +11

Emphysema lung lobe volume reduction: effects on the ipsilateral and contralateral lobes

Matthew S. Brown, Hyun J. Kim, Fereidoun Abtin et al. · European Radiology · 2012 · 63 citations

Lung Deposition, Pulmonary Circulation, Advanced Lung Disease +11