| Deep learning in medical imaging and radiation therapy B Sahiner, A Pezeshk, LM Hadjiiski, X Wang, K Drukker, KH Cha, ... Medical physics 46 (1), e1-e36, 2019 | 760 | 2019 |
| 3D convolutional neural network for automatic detection of lung nodules in chest CT S Hamidian, B Sahiner, N Petrick, A Pezeshk Medical Imaging 2017: Computer-Aided Diagnosis 10134, 54-59, 2017 | 149 | 2017 |
| Automatic feature extraction and text recognition from scanned topographic maps A Pezeshk, RL Tutwiler IEEE Transactions on Geoscience and Remote Sensing 49 (12), 5047-5063, 2011 | 102 | 2011 |
| 3-D convolutional neural networks for automatic detection of pulmonary nodules in chest CT A Pezeshk, S Hamidian, N Petrick, B Sahiner IEEE journal of biomedical and health informatics 23 (5), 2080-2090, 2018 | 101 | 2018 |
| Seamless lesion insertion for data augmentation in CAD training A Pezeshk, N Petrick, W Chen, B Sahiner IEEE transactions on medical imaging 36 (4), 1005-1015, 2016 | 46 | 2016 |
| Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning KH Cha, N Petrick, A Pezeshk, CG Graff, D Sharma, A Badal, B Sahiner Journal of Medical Imaging 7 (1), 012703-012703, 2020 | 40 | 2020 |
| Calibration of medical diagnostic classifier scores to the probability of disease W Chen, B Sahiner, F Samuelson, A Pezeshk, N Petrick Statistical methods in medical research 27 (5), 1394-1409, 2018 | 27 | 2018 |
| Contour line recognition & extraction from scanned colour maps using dual quantization of the intensity image A Pezeshk, RL Tutwiler 2008 IEEE Southwest Symposium on Image Analysis and Interpretation, 173-176, 2008 | 24 | 2008 |
| Seamless insertion of pulmonary nodules in chest CT images A Pezeshk, B Sahiner, R Zeng, A Wunderlich, W Chen, N Petrick IEEE Transactions on Biomedical Engineering 62 (12), 2812-2827, 2015 | 22 | 2015 |
| Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scans MM Farhangi, N Petrick, B Sahiner, H Frigui, AA Amini, A Pezeshk Medical physics 47 (5), 2150-2160, 2020 | 21 | 2020 |
| Techniques for virtual lung nodule insertion: volumetric and morphometric comparison of projection-based and image-based methods for quantitative CT M Robins, J Solomon, P Sahbaee, M Sedlmair, KR Choudhury, ... Physics in Medicine & Biology 62 (18), 7280, 2017 | 18 | 2017 |
| Comparison of two classifiers when the data sets are imbalanced: the power of the area under the precision-recall curve as the figure of merit versus the area under the ROC curve B Sahiner, W Chen, A Pezeshk, N Petrick Medical Imaging 2017: Image Perception, Observer Performance, and Technology …, 2017 | 17 | 2017 |
| Improved multi angled parallelism for separation of text from intersecting linear features in scanned topographic maps A Pezeshk, RL Tutwiler 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 17 | 2010 |
| Lung nodule malignancy classification based on NLSTx Data B Veasey, MM Farhangi, H Frigui, J Broadhead, M Dahle, A Pezeshk, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1870-1874, 2020 | 16 | 2020 |
| Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images KH Cha, N Petrick, A Pezeshk, CG Graff, D Sharma, A Badal, A Badano, ... Medical Imaging 2019: Computer-Aided Diagnosis 10950, 13-19, 2019 | 16 | 2019 |
| Extended character defect model for recognition of text from maps A Pezeshk, RL Tutwiler 2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI), 85-88, 2010 | 15 | 2010 |
| Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed'test'dataset and a potential solution A Gossmann, A Pezeshk, B Sahiner Medical Imaging 2018: Image Perception, Observer Performance, and Technology …, 2018 | 12 | 2018 |
| Automatic lung nodule detection in thoracic CT scans using dilated slice-wise convolutions MM Farhangi, B Sahiner, N Petrick, A Pezeshk Medical Physics 48 (7), 3741-3751, 2021 | 10 | 2021 |
| Test data reuse for the evaluation of continuously evolving classification algorithms using the area under the receiver operating characteristic curve A Gossmann, A Pezeshk, YP Wang, B Sahiner SIAM Journal on Mathematics of Data Science 3 (2), 692-714, 2021 | 10 | 2021 |
| Evaluation of simulated lesions as surrogates to clinical lesions for thoracic CT volumetry: the results of an international challenge M Robins, J Kalpathy-Cramer, NA Obuchowski, A Buckler, M Athelogou, ... Academic radiology 26 (7), e161-e173, 2019 | 7 | 2019 |
