| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/cbm/NattkemperTRS03 |
| P356 | DOI | 10.1016/S0010-4825(02)00060-4 |
| P698 | PubMed publication ID | 12485628 |
| P50 | author | Tim Wilhelm Nattkemper | Q55447097 |
| P2093 | author name string | Walter Schubert | |
| Helge Ritter | |||
| Thorsten Twellmann | |||
| P2860 | cites work | An Information-Maximization Approach to Blind Separation and Blind Deconvolution | Q28291012 |
| Computational analysis of microarray data | Q29618377 | ||
| A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells | Q31032906 | ||
| Leucocyte activation markers in clinical practice | Q33727381 | ||
| Real-time molecular and cellular analysis: the new frontier of drug discovery | Q34134974 | ||
| ROC methodology in radiologic imaging | Q39591477 | ||
| Biomedical imaging and the evolution of medical informatics | Q40934100 | ||
| Image analysis of tissue sections | Q41048904 | ||
| Artificial neural network-aided image analysis system for cell counting | Q48580478 | ||
| Decision-making studies in patient management. | Q53003828 | ||
| Self-Organized Formation of Topologically Correct Feature Maps | Q56112936 | ||
| A Tutorial on Support Vector Machines for Pattern Recognition | Q56885196 | ||
| Medical image analysis: progress over two decades and the challenges ahead | Q57532929 | ||
| Signal Detectability and Medical Decision-Making | Q71761208 | ||
| Discordance among expert pathologists in diagnosis of melanocytic neoplasms | Q71767524 | ||
| [Validation of the Düsseldorfer screening tool: a trait-based approach to assess psychological distress of cancer patients] | Q104498684 | ||
| P433 | issue | 1 | |
| P1104 | number of pages | 13 | |
| P304 | page(s) | 31-43 | |
| P577 | publication date | 2003-01-01 | |
| P1433 | published in | Computers in Biology and Medicine | Q2025825 |
| P1476 | title | Human vs machine: evaluation of fluorescence micrographs | |
| P478 | volume | 33 |
| Q42658740 | A Machine Learning Assisted, Label-free, Non-invasive Approach for Somatic Reprogramming in Induced Pluripotent Stem Cell Colony Formation Detection and Prediction |
| Q33514149 | A biosegmentation benchmark for evaluation of bioimage analysis methods |
| Q30849619 | A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selection and classification |
| Q50668882 | A new era in bioimage informatics. |
| Q35600510 | Advances in toponomics drug discovery: Imaging cycler microscopy correctly predicts a therapy method of amyotrophic lateral sclerosis. |
| Q51933552 | Automated detection of tunneling nanotubes in 3D images. |
| Q41189835 | Automatic determination of NET (neutrophil extracellular traps) coverage in fluorescent microscopy images. |
| Q36861970 | Biological imaging software tools |
| Q39457228 | Comparison of parameter-adapted segmentation methods for fluorescence micrographs |
| Q40811874 | Comparison of two automatic cell-counting solutions for fluorescent microscopic images |
| Q34803023 | Determining the subcellular location of new proteins from microscope images using local features |
| Q55096635 | Fast and simple tool for the quantification of biofilm-embedded cells sub-populations from fluorescent microscopic images. |
| Q57900534 | RecoMIA—Recommendations for Marine Image Annotation: Lessons Learned and Future Directions |
| Q51211094 | Selection and tuning of a fast and simple phase-contrast microscopy image segmentation algorithm for measuring myoblast growth kinetics in an automated manner. |
| Q40244157 | Surveying and benchmarking techniques to analyse DNA gel fingerprint images. |
| Q50567511 | Symmetry breaking in the early mammalian embryo: the case for quantitative single-cell imaging analysis |
| Q37157871 | Toponomics and neurotoponomics: a new way to medical systems biology |
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