1 citations · 1 across the 3 of their papers we have counts for
4 papers
Zero-Shot Gaze-based Volumetric Medical Image Segmentation
Tatyana Shmykova, Leila Khaertdinova, Ilya Pershin
Accurate segmentation of anatomical structures in volumetric medical images is crucial for clinical applications, including disease monitoring and cancer treatment planning. Contem…
Gaze-Assisted Medical Image Segmentation
Leila Khaertdinova, Ilya Pershin, Tatiana Shmykova +1
The annotation of patient organs is a crucial part of various diagnostic and treatment procedures, such as radiotherapy planning. Manual annotation is extremely time-consuming, whi…
Awareness of uncertainty in classification using a multivariate model and multi-views
Alexey Kornaev, Elena Kornaeva, Oleg Ivanov +2
One of the ways to make artificial intelligence more natural is to give it some room for doubt. Two main questions should be resolved in that way. First, how to train a model to es…
Cross-Modal Conceptualization in Bottleneck Models
Danis Alukaev, Semen Kiselev, Ilya Pershin +4
Concept Bottleneck Models (CBMs) assume that training examples (e.g., x-ray images) are annotated with high-level concepts (e.g., types of abnormalities), and perform classificatio…