| Cholectriplet2021: A benchmark challenge for surgical action triplet recognition CI Nwoye, D Alapatt, T Yu, A Vardazaryan, F Xia, Z Zhao, T Xia, F Jia, ... Medical Image Analysis 86, 102803, 2023 | 33 | 2023 |
| Discrete orthonormal Stockwell transform based feature extraction for pose invariant face recognition B Nithya, YB Sankari, K Manikantan, S Ramachandran Procedia Computer Science 45, 290-299, 2015 | 15 | 2015 |
| Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data M Wagner, JM Brandenburg, S Bodenstedt, A Schulze, AC Jenke, A Stern, ... Surgical endoscopy 36 (11), 8568-8591, 2022 | 14 | 2022 |
| Prediction of clinically relevant postoperative pancreatic fistula using radiomic features and preoperative data N Bhasker, FR Kolbinger, N Skorobohach, A Zwanenburg, S Löck, J Weitz, ... Scientific Reports 13 (1), 7506, 2023 | 4 | 2023 |
| Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study JM Brandenburg, AC Jenke, A Stern, MTJ Daum, A Schulze, R Younis, ... Surgical Endoscopy 37 (11), 8577-8593, 2023 | 1 | 2023 |
| Graph data modelling for outcome prediction in oropharyngeal cancer patients N Bhasker, S Leger, A Zwanenburg, CB Reddy, S Bodenstedt, S Löck, ... arXiv preprint arXiv:2310.02931, 2023 | | 2023 |
| Diagnostic imaging and the use of artificial intelligence in the management of organ metastasis N Bhasker, F Schoen, JP Kuehn, S Speidel ONKOLOGIE 29 (3), 182-191, 2023 | | 2023 |
| Bildgebende Diagnostik und der Einsatz von künstlicher Intelligenz beim Management von Organmetastasen N Bhasker, F Schön, JP Kühn, S Speidel Die Onkologie 29 (3), 182-191, 2023 | | 2023 |
| CholecTriplet2021: A benchmark challenge for surgical action triplet recognition C Innocent Nwoye, D Alapatt, T Yu, A Vardazaryan, F Xia, Z Zhao, T Xia, ... arXiv e-prints, arXiv: 2204.04746, 2022 | | 2022 |
| Contrastive Poincaré Maps for single-cell data analysis N Bhasker, H Chung, L Boucherie, V Kim, S Speidel, M Weber ICLR 2024 Workshop on Machine Learning for Genomics Explorations, 0 | | |
Stefanie SpeidelProfessor, National Center for Tumor Diseases (NCT) DresdenVerified email at nct-dresden.de
