| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1867 | 2018 |
| Automated white matter fiber tract identification in patients with brain tumors LJ O’Donnell, Y Suter, L Rigolo, P Kahali, F Zhang, I Norton, A Albi, ... NeuroImage: Clinical 13, 138-153, 2017 | 135 | 2017 |
| Deep learning versus classical regression for brain tumor patient survival prediction Y Suter, A Jungo, M Rebsamen, U Knecht, E Herrmann, R Wiest, M Reyes Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 50 | 2019 |
| Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques Y Suter, U Knecht, M Alão, W Valenzuela, E Hewer, P Schucht, R Wiest, ... Cancer Imaging 20, 1-13, 2020 | 47 | 2020 |
| A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data B Ocaña-Tienda, J Pérez-Beteta, JD Villanueva-García, ... Scientific data 10 (1), 208, 2023 | 22 | 2023 |
| Brain morphometry estimation: From hours to seconds using deep learning M Rebsamen, Y Suter, R Wiest, M Reyes, C Rummel Frontiers in neurology 11, 244, 2020 | 19 | 2020 |
| MedShapeNet--A large-scale dataset of 3D medical shapes for computer vision J Li, A Pepe, C Gsaxner, G Luijten, Y Jin, N Ambigapathy, E Nasca, ... arXiv preprint arXiv:2308.16139, 2023 | 15 | 2023 |
| Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction F Zhang, P Kahali, Y Suter, I Norton, L Rigolo, P Savadjiev, Y Song, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 11 | 2017 |
| The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation Y Suter, U Knecht, W Valenzuela, M Notter, E Hewer, P Schucht, R Wiest, ... Scientific data 9 (1), 768, 2022 | 10 | 2022 |
| Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions L Zbinden, D Catucci, Y Suter, A Berzigotti, L Ebner, A Christe, ... Scientific Reports 12 (1), 22059, 2022 | 9 | 2022 |
| PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion E Rüfenacht, A Kamath, Y Suter, R Poel, E Ermiş, S Scheib, M Reyes Computer methods and programs in biomedicine 231, 107374, 2023 | 4 | 2023 |
| Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors Y Suter, U Knecht, R Wiest, M Reyes Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 4 | 2021 |
| Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression Y Suter, C Rummel, R Wiest, M Reyes 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 4 | 2018 |
| Automated liver segmental volume ratio quantification on non-contrast T1–Vibe Dixon liver MRI using deep learning L Zbinden, D Catucci, Y Suter, L Hulbert, A Berzigotti, M Brönnimann, ... European journal of radiology 167, 111047, 2023 | 3 | 2023 |
| Towards mri progression features for glioblastoma patients: From automated volumetry and classical radiomics to deep feature learning Y Suter, U Knecht, R Wiest, E Hewer, P Schucht, M Reyes Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020 | 1 | 2020 |
| Evaluating automated longitudinal tumor measurements for glioblastoma response assessment Y Suter, M Notter, R Meier, T Loosli, P Schucht, R Wiest, M Reyes, ... Frontiers in radiology 3, 1211859, 2023 | | 2023 |
| Automated liver segmental volume ratio (LSVR) quantification on non-contrast T1 vibe dixon liver MRI using an artificial neural network L Zbinden, D Catucci, YR Suter, A Berzigotti, L Ebner, A Christe, ... | | 2022 |
| Effectiveness of a state-of-the art neural network for liver parenchyma, portal and hepatic vein segmentation based on a standard non-contrast T1-vibe Dixon sequence L Zbinden, D Catucci, Y Suter, A Berzigotti, L Ebner, A Christe, ... | | 2022 |
| The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference F Balsiger, A Jungo, J Chen, I Ezhov, S Liu, J Ma, JC Paetzold, ... arXiv preprint arXiv:2103.05437, 2021 | | 2021 |
| Advanced Machine Learning Technologies for Robust Longitudinal Radiomics and Response Assessment in Glioblastoma Multiforme YR Suter Universität Bern, 2021 | | 2021 |
Mauricio ReyesMedical Image Analysis, ARTORG Center, Univ. Bern在 med.unibe.ch 的电子邮件经过验证
