| 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 | 158 | 2019 |
| 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 | 128 | 2020 |
| 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 | 101 | 2020 |
| 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 | 83 | 2019 |
| Dual energy computed tomography in head and neck imaging: pushing the envelope T Sananmuang, M Agarwal, F Maleki, N Muthukrishnan, JC Marquez, ... Neuroimaging Clinics 30 (3), 311-323, 2020 | 19 | 2020 |
| CT-based radiomics model with machine learning for predicting primary treatment failure in diffuse large B-cell Lymphoma R Santiago, JO Jimenez, R Forghani, N Muthukrishnan, O Del Corpo, ... Translational oncology 14 (10), 101188, 2021 | 14 | 2021 |
| Above and beyond age: prediction of major postoperative adverse events in head and neck surgery MA Mascarella, N Muthukrishnan, F Maleki, MJ Kergoat, K Richardson, ... Annals of Otology, Rhinology & Laryngology 131 (7), 697-703, 2022 | 10 | 2022 |
| Site-specific variation in radiomic features of head and neck squamous cell carcinoma and its impact on machine learning models X Liu, F Maleki, N Muthukrishnan, K Ovens, SH Huang, A Pérez-Lara, ... Cancers 13 (15), 3723, 2021 | 10 | 2021 |
| Radiomics and machine learning for the diagnosis of pediatric cervical non-tuberculous mycobacterial lymphadenitis Y Al Bulushi, C Saint-Martin, N Muthukrishnan, F Maleki, C Reinhold, ... Scientific Reports 12 (1), 2962, 2022 | 9 | 2022 |
| Prediction of High-Risk Group of Primary Refractory Diffuse Large B-Cell Lymphoma (DLBCL) Patients Using a CT-Based Radiomics Model with Machine Learning R Santiago, JO Jimenez, R Forghani, N Muthukrishnan, O Del Corpo, ... Blood 134, 4136, 2019 | 3 | 2019 |
| Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning? A Case Study Using Dual Energy CT Data A Maier, SH Yang, F Maleki, N Muthukrishnan, R Forghani Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022 | 1 | 2022 |
| Does Proprietary Software Still Offer Protection of Intellectual Property in the Age of Machine Learning?--A Case Study using Dual Energy CT Data A Maier, SH Yang, F Maleki, N Muthukrishnan, R Forghani arXiv preprint arXiv:2112.03678, 2021 | | 2021 |
| Radiomics in early-stage lung adenocarcinoma: a prediction tool for tumour immune microenvironments M Kaafarani, C Huynh, F Chouiali, N Muthukrishnan, F Maleki, K Ovens, ... Canadian Journal of Surgery 64, S118-S118, 2021 | | 2021 |
| Dental artifact reduction using a three-stage projection-based metal artifact reduction algorithm for spectral imaging: A phantom study N Muthukrishnan, E Nett, G Romero-Sanchez, R Forghani European Congress of Radiology-ECR 2019, 2019 | | 2019 |
| Machine Learning Algorithms: A Comparative Review of Classic Machine Learning versus Deep Learning for Imaging Applications N Muthukrishnan, B Forghani, R Forghani European Congress of Radiology-ECR 2019, 2019 | | 2019 |
| Machine Learning and Other Artificial Intelligence Applications SK Mukherji, R Forghani, N Muthukrishnan, F Maleki, K Ovens, ... | | |
