A5077928644- Topic Modeling
- Cell Image Analysis Techniques
- Image Processing Techniques and Applications
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- Advanced Machining and Optimization Techniques
- 3D Printing in Biomedical Research
- Advanced Surface Polishing Techniques
- AI in cancer detection
- Misinformation and Its Impacts
- Advanced Electron Microscopy Techniques and Applications
- Advanced machining processes and optimization
- Evolutionary Algorithms and Applications
- Advanced Multi-Objective Optimization Algorithms
- Online Learning and Analytics
- scientometrics and bibliometrics research
- Metaheuristic Optimization Algorithms Research
- Radiomics and Machine Learning in Medical Imaging
German Research Centre for Artificial Intelligence
2022-2025
Vignana Jyothi Institute of Management
2020-2022
University of Kaiserslautern
2021
Abstract We present Segment Anything for Microscopy, a tool interactive and automatic segmentation tracking of objects in multi-dimensional microscopy data. Our method is based on Anything, vision foundation model image segmentation. extend it by training specialized models data that significantly improve quality wide range imaging conditions. also implement annotation tools (volumetric) tracking, speed up compared to established tools. work constitutes the first application microscopy,...
Background and Objective: Decisions on the best available treatment in clinical oncology are based expert opinions multidisciplinary cancer conferences (MCC). Artificial intelligence (AI) could increase evidence-based by generating additional recommendations (TR). We aimed to develop such an AI system for urothelial carcinoma (UC) renal cell (RCC). Methods: Comprehensive data of patients with histologically confirmed UC RCC who received MCC years 2015 2022 were transformed into machine...
Decisions on the best available treatment in clinical oncology are based expert opinions multidisciplinary cancer conferences (MCC). Artificial intelligence (AI) could increase evidence-based by generating additional recommendations (TR). We aimed to develop such an AI system for urothelial carcinoma (UC) and renal cell (RCC). Comprehensive data of patients with histologically confirmed UC RCC who received MCC years 2015 - 2022 were transformed into machine readable representations....
Citations play a vital role in understanding the impact of scientific literature. Generally, citations are analyzed quantitatively whereas qualitative analysis can reveal deeper insights into artifact community. Therefore, citation (which includes sentiment and intent classification) enables us to quantify quality which eventually assist estimation ranking impact. The contribution this paper is two-fold. First, we benchmark well-known language models like BERT ALBERT along with several...
Discrimination between cell types in the co-culture environment with multiple lines can assist examining interaction different populations. Identifying cultures addition to segmentation is essential for understanding cellular mechanisms associated disease states. In drug development, biologists are more interested models because they replicate tumor vivo better than monoculture models. Additionally, have a measurable effect on cancer response treatment. Co-culture critical designing maximum...
Citations are generally analyzed using only quantitative measures while excluding qualitative aspects such as sentiment and intent. However, provide deeper insights into the impact of a scientific research artifact make it possible to focus on relevant literature free from bias associated with aspects. Therefore, is rank categorize papers based their For this purpose, larger citation datasets required. time cost perspective, curating large dataset challenging task. Particularly, analysis...