Krunoslav Vinicki
Papers
1
Total Citations
19
H-Index
1
About
Krunoslav Vinicki is a researcher at the intersection of veterinary medicine and artificial intelligence, with a primary focus on applying deep learning and computer vision to clinical diagnostics. His most notable contribution is the pioneering work "Using Convolutional Neural Networks for Determining Reticulocyte Percentage in Cats" (2018, 19 citations), which demonstrated how convolutional neural networks can automate the traditionally manual and time-consuming process of counting reticulocytes in feline blood samples. This study represents a significant step toward integrating AI-driven image analysis into veterinary hematology, offering a scalable, accurate alternative to manual microscopy. By bridging the gap between cutting-edge deep learning techniques and practical veterinary applications, Vinicki has opened new avenues for automated diagnostic tools in animal healthcare. His work is particularly impactful for researchers and practitioners seeking to leverage AI for precision medicine in veterinary settings, and it serves as a foundational reference for subsequent studies in computer-aided veterinary diagnostics.
Research Focus
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Top Papers
- 1