| Automatic" pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis AP Zijdenbos, R Forghani, AC Evans IEEE transactions on medical imaging 21 (10), 1280-1291, 2002 | 904 | 2002 |
| Origins of tumor-associated macrophages and neutrophils V Cortez-Retamozo, M Etzrodt, A Newton, PJ Rauch, A Chudnovskiy, ... Proceedings of the National Academy of Sciences 109 (7), 2491-2496, 2012 | 700 | 2012 |
| Measuring myeloperoxidase activity in biological samples B Pulli, M Ali, R Forghani, S Schob, KLC Hsieh, G Wojtkiewicz, JJ Linnoila, ... PloS one 8 (7), e67976, 2013 | 365 | 2013 |
| Cancer of the head and neck J Myers, E Hanna Lippincott Williams & Wilkins, 2016 | 340 | 2016 |
| Automatic quantification of MS lesions in 3D MRI brain data sets: validation of INSECT A Zijdenbos, R Forghani, A Evans International Conference on Medical Image Computing and Computer-Assisted …, 1998 | 246 | 1998 |
| Angiotensin II drives the production of tumor-promoting macrophages V Cortez-Retamozo, M Etzrodt, A Newton, R Ryan, F Pucci, SW Sio, ... Immunity 38 (2), 296-308, 2013 | 204 | 2013 |
| The venous distension sign: a diagnostic sign of intracranial hypotension at MR imaging of the brain RI Farb, R Forghani, SK Lee, DJ Mikulis, R Agid American Journal of Neuroradiology 28 (8), 1489-1493, 2007 | 164 | 2007 |
| Endometrial carcinoma: MR imaging–based texture model for preoperative risk stratification—a preliminary analysis Y Ueno, B Forghani, R Forghani, A Dohan, XZ Zeng, F Chamming’s, ... Radiology 284 (3), 748-757, 2017 | 161 | 2017 |
| Radiomics and artificial intelligence for biomarker and prediction model development in oncology R Forghani, P Savadjiev, A Chatterjee, N Muthukrishnan, C Reinhold, ... Computational and structural biotechnology journal 17, 995-1008, 2019 | 156 | 2019 |
| Dual-energy computed tomography: physical principles, approaches to scanning, usage, and implementation: part 1 R Forghani, B De Man, R Gupta Neuroimaging Clinics 27 (3), 371-384, 2017 | 145 | 2017 |
| Ocular adnexal lymphoma: diffusion-weighted MR imaging for differential diagnosis and therapeutic monitoring LS Politi, R Forghani, C Godi, AG Resti, M Ponzoni, S Bianchi, A Iadanza, ... Radiology 256 (2), 565-574, 2010 | 139 | 2010 |
| Brief history of artificial intelligence N Muthukrishnan, F Maleki, K Ovens, C Reinhold, B Forghani, R Forghani Neuroimaging Clinics of North America 30 (4), 393-399, 2020 | 115 | 2020 |
| Optimal virtual monochromatic images for evaluation of normal tissues and head and neck cancer using dual-energy CT S Lam, R Gupta, M Levental, E Yu, HD Curtin, R Forghani American Journal of Neuroradiology 36 (8), 1518-1524, 2015 | 106 | 2015 |
| A combinatorial network of evolutionarily conserved myelin basic protein regulatory sequences confers distinct glial-specific phenotypes HF Farhadi, P Lepage, R Forghani, HCH Friedman, W Orfali, L Jasmin, ... Journal of Neuroscience 23 (32), 10214-10223, 2003 | 101 | 2003 |
| Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning R Forghani, A Chatterjee, C Reinhold, A Pérez-Lara, G Romero-Sanchez, ... European radiology 29, 6172-6181, 2019 | 98 | 2019 |
| Machine learning algorithm validation: from essentials to advanced applications and implications for regulatory certification and deployment F Maleki, N Muthukrishnan, K Ovens, C Reinhold, R Forghani Neuroimaging Clinics 30 (4), 433-445, 2020 | 96 | 2020 |
| Demyelinating diseases: myeloperoxidase as an imaging biomarker and therapeutic target R Forghani, GR Wojtkiewicz, Y Zhang, D Seeburg, BRM Bautz, B Pulli, ... Radiology 263 (2), 451-460, 2012 | 96 | 2012 |
| Dual-energy computed tomography: physical principles, approaches to scanning, usage, and implementation: part 2 R Forghani, B De Man, R Gupta Neuroimaging Clinics 27 (3), 385-400, 2017 | 95 | 2017 |
| Dual-energy CT texture analysis with machine learning for the evaluation and characterization of cervical lymphadenopathy M Seidler, B Forghani, C Reinhold, A Pérez-Lara, G Romero-Sanchez, ... Computational and structural biotechnology journal 17, 1009-1015, 2019 | 79 | 2019 |
| Different spectral hounsfield unit curve and high-energy virtual monochromatic image characteristics of squamous cell carcinoma compared with nonossified thyroid cartilage R Forghani, M Levental, R Gupta, S Lam, N Dadfar, HD Curtin American Journal of Neuroradiology 36 (6), 1194-1200, 2015 | 77 | 2015 |
