| Artificial intelligence–based morphological fingerprinting of megakaryocytes: a new tool for assessing disease in MPN patients K Sirinukunwattana, A Aberdeen, H Theissen, N Sousos, B Psaila, ... Blood advances 4 (14), 3284-3294, 2020 | 57 | 2020 |
| Quantitative interpretation of bone marrow biopsies in MPN—What's the point in a molecular age? H Ryou, O Lomas, H Theissen, E Thomas, J Rittscher, D Royston British Journal of Haematology 203 (4), 523-535, 2023 | 6 | 2023 |
| Improving the diagnosis and classification of Ph-negative myeloproliferative neoplasms through deep phenotyping K Sirinukunwattana, A Aberdeen, H Theissen, N Sousos, B Psaila, ... bioRxiv, 762013, 2019 | 4 | 2019 |
| An electronically reconfigurable reflectarray element based on binary phase shifters for K-band applications H Theissen, C Dahl, I Rolfes, T Musch 2016 German Microwave Conference (GeMiC), 321-324, 2016 | 4 | 2016 |
| Microwave sensor concept for the detection of gas inclusions inside microfluidic channels B Hattenhorst, H Theissen, C Schulz, I Rolfes, C Baer, T Musch 2015 IEEE MTT-S 2015 International Microwave Workshop Series on RF and …, 2015 | 4 | 2015 |
| Multi-scale graphical representation of cell environment H Theissen, T Chakraborty, S Malacrino, D Royston, J Rittscher 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 3 | 2022 |
| Learning cellular phenotypes through supervision H Theissen, T Chakraborti, S Malacrino, K Sirinukunwattana, D Royston, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 3 | 2021 |
| Method and system for generating a visual representation A Aberdeen, D Royston, H Theissen, K Sirinukunwattana, J Rittscher US Patent App. 18/012,675, 2023 | | 2023 |
Rittscher JensDepartment of Engineering Science, University of Oxford, UK在 rittscher.org 的电子邮件经过验证
