| Transfer learning for medical image classification: a literature review HE Kim, A Cosa-Linan, N Santhanam, M Jannesari, ME Maros, ... BMC medical imaging 22 (1), 69, 2022 | 366 | 2022 |
| Data projects for “social good”: challenges and opportunities M Niño, RV Zicari, T Ivanov, K Hee, N Mushtaq, M Rosselli, ... International Journal of Humanities and Social Sciences 11 (5), 1094-1104, 2017 | 14 | 2017 |
| Deep learning frameworks for rapid Gram stain image data interpretation: Protocol for a retrospective data analysis H Kim, T Ganslandt, T Miethke, M Neumaier, M Kittel JMIR Research Protocols 9 (7), e16843, 2020 | 10 | 2020 |
| Is data quality enough for a clinical decision?: Apply machine learning and avoid bias K Hee 2017 IEEE International Conference on Big Data (Big Data), 2612-2619, 2017 | 9 | 2017 |
| Tailored data science education using gamification K Hee, RV Zicari, K Tolle, A Manieri 2016 IEEE International Conference on Cloud Computing Technology and Science …, 2016 | 9 | 2016 |
| Evaluating Ayasdi’s Topological Data Analysis For Big Data HE Kim Goethe University Frankfurt, 2015 | 5 | 2015 |
| Rapid Convolutional Neural Networks for Gram-Stained Image Classification at Inference Time on Mobile Devices: Empirical Study from Transfer Learning to Optimization HE Kim, ME Maros, F Siegel, T Ganslandt Biomedicines 10 (11), 2808, 2022 | 3 | 2022 |
| Understanding and Mapping Big Data in Transport Sector HE Kim, N Mushtaq, H Özmen, M Rosselli, RV Zicari, M Hong, R Akerkar, ... LEMO, 2018 | 2* | 2018 |
| Lightweight Visual Transformers Outperform Convolutional Neural Networks for Gram-Stained Image Classification: An Empirical Study HE Kim, ME Maros, T Miethke, M Kittel, F Siegel, T Ganslandt Biomedicines 11 (5), 1333, 2023 | 1 | 2023 |
| Big Data Methodologies, Tools and Infrastructures HE Kim, T Ivanov, RV Zicari, R Waldenfels, H Özmen, N Mushtaq, M Hong, ... | | 2018 |
