| Deep learning for image-based liver analysis—A comprehensive review focusing on malignant lesions S Survarachakan, PJR Prasad, R Naseem, JP de Frutos, RP Kumar, ... Artificial Intelligence in Medicine 130, 102331, 2022 | 28 | 2022 |
| Nuclear segmentation for skin cancer diagnosis from histopathological images PJ Ray, S Priya, TA Kumar 2015 Global Conference on Communication Technologies (GCCT), 397-401, 2015 | 15 | 2015 |
| Modifying u-net for small dataset: a simplified u-net version for liver parenchyma segmentation P Pravda, JE Ole, F Lindseth, A Fritz, PK Rahul SPIE Medical Imaging, 2021 11597 (Medical Imaging, CAD, 2021), https://doi …, 2021 | 11 | 2021 |
| Numerical evaluation on parametric choices influencing segmentation results in radiology images—a multi-dataset study PJR Prasad, S Survarachakan, ZA Khan, F Lindseth, OJ Elle, ... Electronics 10 (4), 431, 2021 | 6 | 2021 |
| Evaluation of clinical applicability of automated liver parenchyma segmentation of multi-center magnetic resonance images V Nainamalai, PJR Prasad, E Pelanis, B Edwin, F Albregtsen, OJ Elle, ... European Journal of Radiology Open 9, 100448, 2022 | 3 | 2022 |
| An interactive approach for the semi-authomatic segmentation of liver an lesions CS Salvatore, RP Jith, O Louise, EO Jakob, KR Prasanna The International Society for Medical Innovation and Technology (iSMIT …, 2017 | | 2017 |
Rahul Prasanna KumarThe Intervention Centre, Oslo University Hospital在 ous-research.no 的电子邮件经过验证
