| InceptionGCN: receptive field aware graph convolutional network for disease prediction A Kazi, S Shekarforoush, S Arvind Krishna, H Burwinkel, G Vivar, ... Information Processing in Medical Imaging: 26th International Conference …, 2019 | 161 | 2019 |
| Graph convolution based attention model for personalized disease prediction A Kazi, S Shekarforoush, S Arvind Krishna, H Burwinkel, G Vivar, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 45 | 2019 |
| AI for doctors—a course to educate medical professionals in artificial intelligence for medical imaging DM Hedderich, M Keicher, B Wiestler, MJ Gruber, H Burwinkel, ... Healthcare 9 (10), 1278, 2021 | 28 | 2021 |
| Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification G Vivar, A Kazi, H Burwinkel, A Zwergal, N Navab, SA Ahmadi Artificial intelligence in medicine 117, 102097, 2021 | 16 | 2021 |
| Adaptive image-feature learning for disease classification using inductive graph networks H Burwinkel, A Kazi, G Vivar, S Albarqouni, G Zahnd, N Navab, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 14 | 2019 |
| Multimodal graph attention network for COVID-19 outcome prediction M Keicher, H Burwinkel, D Bani-Harouni, M Paschali, T Czempiel, ... Scientific Reports 13 (1), 19539, 2023 | 13 | 2023 |
| Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC) G Vivar, A Kazi, H Burwinkel, A Zwergal, N Navab, SA Ahmadi arXiv preprint arXiv:2005.06935, 2020 | 13 | 2020 |
| Multi-modal graph fusion for inductive disease classification in incomplete datasets G Vivar, H Burwinkel, A Kazi, A Zwergal, N Navab, SA Ahmadi arXiv preprint arXiv:1905.03053, 2019 | 9 | 2019 |
| Physics-aware learning and domain-specific loss design in ophthalmology H Burwinkel, H Matz, S Saur, C Hauger, M Trost, N Hirnschall, O Findl, ... Medical Image Analysis 76, 102314, 2022 | 7 | 2022 |
| ToxNet: an artificial intelligence designed for decision support for toxin prediction T Zellner, K Romanek, C Rabe, S Schmoll, S Geith, EC Heier, R Stich, ... Clinical Toxicology 61 (1), 56-63, 2023 | 3 | 2023 |
| Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions H Burwinkel, H Matz, S Saur, C Hauger, AM Evren, N Hirnschall, O Findl, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 3 | 2020 |
| Decision support for intoxication prediction using graph convolutional networks H Burwinkel, M Keicher, D Bani-Harouni, T Zellner, F Eyer, N Navab, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 3 | 2020 |
| U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic FDG-PET Images M Kollovieh, M Keicher, S Wunderlich, H Burwinkel, T Wendler, N Navab arXiv preprint arXiv:2206.08078, 2022 | 2 | 2022 |
| Machine-learning-based determining of refractive power for measures for correcting eyesight from oct images H Burwinkel, H Matz, S Saur, C Hauger US Patent App. 17/759,360, 2023 | 1 | 2023 |
| Decision support for toxin prediction using artificial intelligence T Zellner, H Burwinkel, M Keicher, D Bani-Harouni, N Navab, SA Ahmadi, ... | 1 | 2021 |
| Increasing a training data volume for improving a prediction accuracy of an ai-based iol determination H Burwinkel, M Trost, N Bensaid, S Saur US Patent App. 18/492,985, 2024 | | 2024 |
| Theory-motivated domain control for ophthalmological machine-learning-based prediction method H Burwinkel, H Matz, S Saur, C Hauger US Patent App. 18/263,162, 2024 | | 2024 |
| Physical iol position determination on the basis of different intraocular lens types H Burwinkel, M Trost, N Bensaid, S Saur US Patent App. 18/476,245, 2024 | | 2024 |
| Training domain-based ai boosting of an iol determination H Burwinkel, M Trost US Patent App. 18/476,261, 2024 | | 2024 |
| Physical augmentation of patient data for medical applications H Burwinkel, M Trost, N Bensaid, S Saur US Patent App. 18/478,048, 2024 | | 2024 |
Nassir NavabProfessor of Computer Science, Technische Universität München在 cs.tum.edu 的电子邮件经过验证
