| Deep learning optoacoustic tomography with sparse data N Davoudi, XL Deán-Ben, D Razansky Nature Machine Intelligence 1 (10), 453-460, 2019 | 235 | 2019 |
| Self-gated respiratory motion rejection for optoacoustic tomography A Ron, N Davoudi, XL Deán-Ben, D Razansky Applied Sciences 9 (13), 2737, 2019 | 22 | 2019 |
| Deep learning of image-and time-domain data enhances the visibility of structures in optoacoustic tomography N Davoudi, B Lafci, A Özbek, XL Deán-Ben, D Razansky Optics letters 46 (13), 3029-3032, 2021 | 19 | 2021 |
| Towards a predictive energy model for HPC runtime systems using supervised learning G Ozer, S Garg, N Davoudi, G Poerwawinata, M Maiterth, A Netti, D Tafani Euro-Par 2019: Parallel Processing Workshops: Euro-Par 2019 International …, 2020 | 16 | 2020 |
| A detection system of infant cry using fuzzy classification including dialing alarm calls function M Kia, S Kia, N Davoudi, R Biniazan Second International Conference on the Innovative Computing Technology …, 2012 | 11 | 2012 |
| Signal domain learning approach for optoacoustic image reconstruction from limited view data AK Susmelj, B Lafci, F Ozdemir, N Davoudi, XL Dean-Ben, F Perez-Cruz, ... International Conference on Medical Imaging with Deep Learning, 1173-1191, 2022 | 6* | 2022 |
| Deep learning optoacoustic tomography with sparse data, Nat. Mach. Intell. 1 (10)(2019) 453–460 N Davoudi, XL Deán-Ben, D Razansky | 5 | |
| Signal domain adaptation network for limited-view optoacoustic tomography AK Susmelj, B Lafci, F Ozdemir, N Davoudi, XL Deán-Ben, F Perez-Cruz, ... Medical Image Analysis 91, 103012, 2024 | 4 | 2024 |
| Model-based correction of rapid thermal confounds in fluorescence neuroimaging of targeted perturbation N Davoudi, H Estrada, A Özbek, S Shoham, D Razansky Neurophotonics 11 (1), 014413-014413, 2024 | 3 | 2024 |
| Energy-efficient runtime in HPC systems with machine learning G Ozer, S Garg, G Poerwawinata, N Davoudi, MDT LRZ, M Maiterth, ... Technical University of Munich, Data Innovation Lab, 2019 | 3 | 2019 |
| Deep learning for virtual screening: five reasons to use ROC cost functions V Golkov, A Becker, DT Plop, D Čuturilo, N Davoudi, J Mendenhall, ... arXiv preprint arXiv:2007.07029, 2020 | 2 | 2020 |
| Learning-based enhancement of limited-view optoacoustic tomography based on image-and time-domain data N Davoudi, B Lafci, A Özbek, XL Deán-Ben, D Razansky Photons Plus Ultrasound: Imaging and Sensing 2022 11960, 7-13, 2022 | 1 | 2022 |
| Multimodal imaging and deep learning unveil pulmonary delivery profiles and acinar migration of tissue-resident macrophages in the lung L Yang, P Kumar, A Sengupta, A Farnoud, R Shen, D Trofimova, S Ziegler, ... | | 2023 |
| Biomedical data analysis from bidirectional optical-acoustic interface N Davoudi ETH Zurich, 2022 | | 2022 |
Daniel RazanskyProfessor of Biomedical Imaging, University and ETH Zurich在 ethz.ch 的电子邮件经过验证
