| Effects of enhancement on deep learning based hepatic vessel segmentation S Survarachakan, E Pelanis, ZA Khan, RP Kumar, B Edwin, F Lindseth Electronics 10 (10), 1165, 2021 | 28 | 2021 |
| 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 | 25 | 2022 |
| Capsule Nets for Complex Medical Image Segmentation Tasks. S Survarachakan, JS Johansen, MA Pedersen, M Amani, F Lindseth CVCS, 2020 | 13 | 2020 |
| 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 |
| Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation J Pérez de Frutos, A Pedersen, E Pelanis, D Bouget, S Survarachakan, ... Plos one 18 (2), e0282110, 2023 | 2 | 2023 |
| Train smarter, not harder: learning deep abdominal CT registration on scarce data. JP de Frutos, A Pedersen, E Pelanis, D Bouget, S Survarachakan, ... arXiv preprint arXiv:2211.15717, 2022 | | 2022 |
| Numerical Evaluation on Parametric Choices Influencing Segmentation Results in Radiology Images—A Multi-Dataset Study. Electronics 2021, 10, 431 PJR Prasad, S Survarachakan, ZA Khan, F Lindseth, OJ Elle, ... s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in …, 2021 | | 2021 |
