Institution
Erasmus University Medical Center
Healthcare•Rotterdam, Zuid-Holland, Netherlands•
About: Erasmus University Medical Center is a healthcare organization based out in Rotterdam, Zuid-Holland, Netherlands. It is known for research contribution in the topics: Population & Medicine. The organization has 8162 authors who have published 11395 publications receiving 517117 citations.
Topics: Population, Medicine, Cancer, Transplantation, Breast cancer
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors obtained serial hematopoietic samples from an SCN patient who developed acute myeloid leukemia (AML) 17 years after the initiation of G-CSF treatment.
158 citations
TL;DR: The prevalence, incidence and lifetime risk of COPD in the general population in the Netherlands is investigated and Mortality rates differed substantially between COPD patients and non-COPD subjects of the same age, underlining the burden of this disease.
158 citations
TL;DR: It is concluded that explainable modelling can contribute to trustworthy AI, but the benefits of explainability still need to be proven in practice and complementary measures might be needed to create trustworthy AI in health care.
158 citations
TL;DR: In vitro and in vivo studies indicated that ectopic expression of miR-181b significantly promoted apoptosis and inhibited viability/proliferation of leukemic cells and delayed leukemogenesis; such effects could be reversed by forced expression of PBX3.
157 citations
TL;DR: The current state of the art in bioimage analysis is summarized and a perspective on likely future developments is provided.
Abstract: Modern biological research increasingly relies on image data as a primary source of information in unraveling the cellular and molecular mechanisms of life. The quantity and complexity of the data generated by state-of-the-art microscopes preclude visual or manual analysis and require advanced computational methods to fully explore the wealth of information. In addition to making bioimage analysis more efficient, objective, and reproducible, the use of computers improves the accuracy and sensitivity of the analyses and helps to reveal subtleties that may be unnoticeable to the human eye. Many methods and software tools have already been developed to this end, but there is still a long way to go before biologists can blindly trust automated measurements. Here, we summarize the current state of the art in bioimage analysis and provide a perspective on likely future developments.
157 citations
Authors
Showing all 8309 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Albert Hofman | 267 | 2530 | 321405 |
| André G. Uitterlinden | 199 | 1229 | 156747 |
| Patrick W. Serruys | 186 | 2427 | 173210 |
| Cornelia M. van Duijn | 183 | 1030 | 146009 |
| Tien Yin Wong | 160 | 1880 | 131830 |
| Monique M.B. Breteler | 159 | 546 | 93762 |
| Marjo-Riitta Järvelin | 156 | 923 | 100939 |
| Fernando Rivadeneira | 146 | 628 | 86582 |
| Ewout W. Steyerberg | 139 | 1226 | 84896 |
| J. Wouter Jukema | 124 | 785 | 61555 |
| Bart W. Koes | 124 | 730 | 57630 |
| Albert D. M. E. Osterhaus | 124 | 955 | 83678 |
| Jan K. Buitelaar | 123 | 1004 | 61880 |
| Frits R. Rosendaal | 122 | 763 | 69043 |
| Johan P. Mackenbach | 120 | 783 | 56705 |