| Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms M Heidari, S Mirniaharikandehei, AZ Khuzani, G Danala, Y Qiu, B Zheng International journal of medical informatics 144, 104284, 2020 | 404 | 2020 |
| Idrid: Diabetic retinopathy–segmentation and grading challenge P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ... Medical image analysis 59, 101561, 2020 | 232 | 2020 |
| Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm M Heidari, AZ Khuzani, AB Hollingsworth, G Danala, ... Physics in Medicine & Biology 63 (3), 035020, 2018 | 108 | 2018 |
| Classification of breast masses using a computer-aided diagnosis scheme of contrast enhanced digital mammograms G Danala, B Patel, F Aghaei, M Heidari, J Li, T Wu, B Zheng Annals of biomedical engineering 46, 1419-1431, 2018 | 86 | 2018 |
| Applying quantitative CT image feature analysis to predict response of ovarian cancer patients to chemotherapy G Danala, T Thai, CC Gunderson, KM Moxley, K Moore, RS Mannel, H Liu, ... Academic radiology 24 (10), 1233-1239, 2017 | 55 | 2017 |
| Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images S Mirniaharikandehei, M Heidari, G Danala, S Lakshmivarahan, B Zheng Computer methods and programs in biomedicine 200, 105937, 2021 | 45 | 2021 |
| Applying a random projection algorithm to optimize machine learning model for breast lesion classification M Heidari, S Lakshmivarahan, S Mirniaharikandehei, G Danala, ... IEEE Transactions on Biomedical Engineering 68 (9), 2764-2775, 2021 | 28 | 2021 |
| A comparison of computer-aided diagnosis schemes optimized using radiomics and deep transfer learning methods G Danala, SK Maryada, W Islam, R Faiz, M Jones, Y Qiu, B Zheng Bioengineering 9 (6), 256, 2022 | 26 | 2022 |
| Systemic response of coated-platelet and peripheral blood inflammatory cell indices after aneurysmal subarachnoid hemorrhage and long-term clinical outcome B Ray, SR Ross, G Danala, F Aghaei, CD Nouh, L Ford, KM Hollabaugh, ... Journal of critical care 52, 1-9, 2019 | 26 | 2019 |
| Developing a quantitative ultrasound image feature analysis scheme to assess tumor treatment efficacy using a mouse model S Mirniaharikandehei, J VanOsdol, M Heidari, G Danala, SN Sethuraman, ... Scientific reports 9 (1), 7293, 2019 | 23 | 2019 |
| Predicting Clinical Outcome After Mechanical Thrombectomy: The GADIS (Gender, Age, Diabetes Mellitus History, Infarct Volume, and Sex) Score KP O'Connor, MY Hathidara, G Danala, C Xu, TM McCoy, EV Sidorov, ... World neurosurgery 134, e1130-e1142, 2020 | 21 | 2020 |
| Applying a machine learning model using a locally preserving projection based feature regeneration algorithm to predict breast cancer risk M Heidari, AZ Khuzani, G Danala, S Mirniaharikandehei, W Qian, ... Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018 | 18 | 2018 |
| Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme M Heidari, AZ Khuzani, G Danala, Y Qiu, B Zheng Medical Imaging 2018: Computer-Aided Diagnosis 10575, 166-171, 2018 | 18 | 2018 |
| Developing global image feature analysis models to predict cancer risk and prognosis B Zheng, Y Qiu, F Aghaei, S Mirniaharikandehei, M Heidari, G Danala Visual Computing for Industry, Biomedicine, and Art 2, 1-14, 2019 | 14 | 2019 |
| Quantitative analysis of stress-induced hyperglycemia and intracranial blood volumes for predicting mortality after intracerebral hemorrhage CD Nouh, B Ray, C Xu, B Zheng, G Danala, A Koriesh, K Hollabaugh, ... Translational Stroke Research 13 (4), 595-603, 2022 | 9 | 2022 |
| Applying quantitative radiographic image markers to predict clinical complications after aneurysmal subarachnoid hemorrhage: A pilot study G Danala, M Desai, B Ray, M Heidari, SKR Maryada, CI Prodan, B Zheng Annals of biomedical engineering 50 (4), 413-425, 2022 | 9 | 2022 |
| A new case-based CAD scheme using a hierarchical SSIM feature extraction method to classify between malignant and benign cases M Heidari, S Mirniaharikandehei, G Danala, Y Qiu, B Zheng Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and …, 2020 | 9 | 2020 |
| A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke G Danala, SKR Maryada, M Heidari, B Ray, M Desai, B Zheng Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and …, 2020 | 9 | 2020 |
| Computer-aided classification of breast masses using contrast-enhanced digital mammograms G Danala, F Aghaei, M Heidari, T Wu, B Patel, B Zheng Medical Imaging 2018: Computer-Aided Diagnosis 10575, 571-581, 2018 | 9 | 2018 |
| Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm M Heidari, S Mirniaharikandehei, AZ Khuzani, G Danala, Y Qiu, B Zheng Medical Imaging 2021: Computer-Aided Diagnosis 11597, 202-209, 2021 | 8 | 2021 |
Bin ZhengGerald Tuma Presidential Professor of Electrical and Computer Engineering, University of OklahomaBestätigte E-Mail-Adresse bei ou.edu
