| Characterization of glycosylphosphatidylinositol biosynthesis defects by clinical features, flow cytometry, and automated image analysis A Knaus, JT Pantel, M Pendziwiat, N Hajjir, M Zhao, TC Hsieh, ... Genome medicine 10, 1-13, 2018 | 79 | 2018 |
| PEDIA: prioritization of exome data by image analysis TC Hsieh, MA Mensah, JT Pantel, D Aguilar, O Bar, A Bayat, ... Genetics in Medicine 21 (12), 2807-2814, 2019 | 75 | 2019 |
| Advances in computer‐assisted syndrome recognition by the example of inborn errors of metabolism JT Pantel, M Zhao, MA Mensah, N Hajjir, TC Hsieh, Y Hanani, N Fleischer, ... Journal of Inherited Metabolic Disease: Official Journal of the Society for …, 2018 | 42 | 2018 |
| Hematologist‐level classification of mature B‐cell neoplasm using deep learning on multiparameter flow cytometry data M Zhao, N Mallesh, A Höllein, R Schabath, C Haferlach, T Haferlach, ... Cytometry Part A 97 (10), 1073-1080, 2020 | 31 | 2020 |
| Befaas: An application-centric benchmarking framework for faas platforms M Grambow, T Pfandzelter, L Burchard, C Schubert, M Zhao, D Bermbach 2021 IEEE International Conference on Cloud Engineering (IC2E), 1-8, 2021 | 30 | 2021 |
| Knowledge transfer to enhance the performance of deep learning models for automated classification of B cell neoplasms N Mallesh, M Zhao, L Meintker, A Höllein, F Elsner, H Lüling, T Haferlach, ... Patterns 2 (10), 2021 | 9 | 2021 |
| An artificial intelligence (AI) approach for automated flow cytometric diagnosis of B-cell lymphoma A Höllein, M Zhao, R Schabath, T Haferlach, C Haferlach, P Krawitz, ... Blood 132, 2856, 2018 | 5 | 2018 |
| An artificial neural network providing highly reliable decision support in a routine setting for classification of B-cell neoplasms based on flow cytometric raw data W Kern, F Elsner, M Zhao, N Mallesh, R Schabath, C Haferlach, P Krawitz, ... Blood 134, 886, 2019 | 3 | 2019 |
| Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU L Burchard, MX Zhao, J Langguth, A Buluç, G Guidi arXiv preprint arXiv:2304.08662, 2023 | 2 | 2023 |
| Knowledge transfer between artificial neural networks for different multicolor flow cytometry protocols improves classification performance for rare B-cell neoplasm subtypes N Mallesh, M Zhao, F Elsner, H Lueling, R Schabath, C Haferlach, ... Blood 134, 2094, 2019 | 2 | 2019 |
| Characterization of glycosylphosphatidylinositol biosynthesis defects by clinical features flow cytometry, and automated image analysis. Genone Med. 10 (1).(2018) A Knaus, JT Pantel, M Pendziwiat, N Hajjir, M Zhao, TC Hsieh, ... | 2 | 2018 |
| Broadening the phenotypic and molecular spectrum of FINCA syndrome: Biallelic NHLRC2 variants in 15 novel individuals HL Sczakiel, M Zhao, B Wollert-Wulf, M Danyel, N Ehmke, C Stoltenburg, ... European Journal of Human Genetics, 1-13, 2023 | 1 | 2023 |
| FlowCat: Automated classification of B-cell lymphoma subtypes N Mallesh, M Zhao, A Hoellein, R Schabath, T Haferlach, C Haferlach, ... EUROPEAN JOURNAL OF HUMAN GENETICS 28 (SUPPL 1), 649-649, 2020 | | 2020 |
| Advances in computer-assisted syndrome recognition by the example of inborn errors of metabolism JT Pantel, M Zhao, MA Mensah, N Hajjir, T Hsieh, Y Hanani, N Fleischer, ... EUROPEAN JOURNAL OF HUMAN GENETICS 27, 574-575, 2019 | | 2019 |
| Exploring molecular interactions by clustering analysis of similarity scores from next-generation phenotyping approaches T Hsieh, N Hajjir, JT Pantel, M Mensah, M Zhao, J Hertzberg, M Schubach, ... EUROPEAN JOURNAL OF HUMAN GENETICS 27, 584-584, 2019 | | 2019 |
