| Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges MRS Sunoqrot, A Saha, M Hosseinzadeh, M Elschot, H Huisman European radiology experimental 6 (1), 35, 2022 | 40 | 2022 |
| Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognition MRS Sunoqrot, GA Nketiah, KM Selnæs, TF Bathen, M Elschot Magnetic Resonance Materials in Physics, Biology and Medicine 34, 309-321, 2021 | 26 | 2021 |
| A quality control system for automated prostate segmentation on T2-weighted MRI MRS Sunoqrot, KM Selnæs, E Sandsmark, GA Nketiah, O Zavala-Romero, ... Diagnostics 10 (9), 714, 2020 | 25 | 2020 |
| The reproducibility of deep learning-based segmentation of the prostate gland and zones on T2-weighted MR images MRS Sunoqrot, KM Selnæs, E Sandsmark, S Langørgen, H Bertilsson, ... Diagnostics 11 (9), 1690, 2021 | 18 | 2021 |
| Microultrasound characterisation of ex vivo porcine tissue for ultrasound capsule endoscopy HS Lay, BF Cox, M Sunoqrot, CEM Démoré, I Näthke, T Gomez, ... Journal of Physics: Conference Series 797 (1), 012003, 2017 | 12 | 2017 |
| High resolution microultrasound (μUS) investigation of the gastrointestinal (GI) tract T Anbarasan, CEM Démoré, H Lay, MRS Sunoqrot, R Poltarjonoks, ... Biosensors and Biodetection: Methods and Protocols, Volume 2 …, 2017 | 5 | 2017 |
| A comparison of Generative Adversarial Networks for automated prostate cancer detection on T2-weighted MRI A Patsanis, MRS Sunoqrot, S Langørgen, H Wang, KM Selnæs, ... Informatics in Medicine Unlocked 39, 101234, 2023 | 4 | 2023 |
| Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study A Saha, JS Bosma, JJ Twilt, B van Ginneken, A Bjartell, AR Padhani, ... The Lancet Oncology, 2024 | 3 | 2024 |
| CROPro: a tool for automated cropping of prostate magnetic resonance images A Patsanis, MRS Sunoqrot, TF Bathen, M Elschot Journal of Medical Imaging 10 (2), 024004-024004, 2023 | 3 | 2023 |
| Pseudo-T2 mapping for normalization of T2-weighted prostate MRI KI Sorland, MRS Sunoqrot, E Sandsmark, S Langorgen, H Bertilsson, ... MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 35 (4), 573-585, 2022 | 3 | 2022 |
| Pseudo-T2 mapping for normalization of T2-weighted prostate MRI KI Sørland, MRS Sunoqrot, E Sandsmark, S Langørgen, H Bertilsson, ... Magnetic Resonance Materials in Physics, Biology and Medicine 35 (4), 573-585, 2022 | 3 | 2022 |
| Development of small bowel tissue phantom for microultrasound investigation T Anbarasan, C Demore, H Lay, M Sunoqrot, R Poltarjonoks, S Cochran, ... J. Crohns Colitis 10, S103-S104, 2016 | 3 | 2016 |
| Label-set impact on deep learning-based prostate segmentation on MRI J Meglič, MRS Sunoqrot, TF Bathen, M Elschot Insights into Imaging 14 (1), 157, 2023 | 2 | 2023 |
| The impact of pre-processing and disease characteristics on reproducibility of T2-weighted MRI radiomics features DEO Dewi, MRS Sunoqrot, GA Nketiah, E Sandsmark, GF Giskeødegård, ... Magnetic Resonance Materials in Physics, Biology and Medicine 36 (6), 945-956, 2023 | 1 | 2023 |
| Computer-Aided Diagnosis of Prostate Cancer Using Multiparametric MRI: Preprocessing, Segmentation and Quality Control MRS Sunoqrot NTNU, 2021 | | 2021 |
| Relative Enhanced Diffusivity in Prostate Cancer: Protocol Optimization and Diagnostic Potential DC Billdal, PT While, KM Selnaes, MRS Sunoqrot, S Langørgen, ... Journal of Magnetic Resonance Imaging 51 (6), 1900-1910, 2020 | | 2020 |
| Microultrasound (mu US) impedance analysis for histopathological investigation of porcine small bowel tissue phantom. T Anbarasan, H Lay, M Sunoqrot, S Cochran, B Cox BRITISH JOURNAL OF SURGERY 104, 118-118, 2017 | | 2017 |
| A deep learning-based quality control system for co-registration of prostate MR images MRS Sunoqrot, KM Selnæs, BS Abrahamsen, A Patsanis, GA Nketiah, ... | | |
| A privacy-preserving federated learning infrastructure for prostate segmentation on T2-Weighted MRI F Zerka, M Sunoqrot, B Abrahamsen, A Patsanis, TF Bathen, M Elschot | | |
| Developing a Delta Radiomics Framework for Prostate Cancer Progression Biomarkers in Patients under Active Surveillance: Pilot Study DEO Dewi, MRS Sunoqrot, GA Nketiah, E Sandsmark, S Langørgen, ... | | |
