Company Filing History:
7 out of 1,244 
1 out of 2,018 
1 out of 168 
Years Active: 2018-2024
Title: Aneta Lisowska: Innovator in Medical Imaging and Model Training
Introduction
Aneta Lisowska is a prominent inventor based in Edinburgh, GB. She has made significant contributions to the fields of medical imaging and model training, holding a total of 8 patents. Her innovative work has the potential to enhance data analysis and classification in various applications.
Latest Patents
Aneta's latest patents include a "Model training apparatus and method." This apparatus comprises processing circuitry configured to receive a first model and a second model. It determines difference information that represents a difference between the first model and the second model, and generates a third model using the first model, the second model, and the difference information. The third model is trained to perform both the first task and the second task.
Another notable patent is the "Matching network for medical image analysis." This disclosure is directed to an apparatus and method for data analysis used in data classification. It involves training a recurrent neural network to identify features from limited reference sets. The method includes selecting a subset of reference data and training a classifier with the selected data, which can be iteratively tuned to enhance classification according to the desired output.
Career Highlights
Aneta has worked with notable companies such as Canon Medical Systems Corporation and Toshiba Medical Systems Corporation. Her experience in these organizations has contributed to her expertise in medical imaging technologies and model training methodologies.
Collaborations
Aneta has collaborated with talented individuals in her field, including Alison O'Neil and Ian Poole. These collaborations have likely enriched her work and led to innovative solutions in her projects.
Conclusion
Aneta Lisowska is a remarkable inventor whose work in model training and medical imaging continues to push the boundaries of technology. Her contributions are paving the way for advancements in data analysis and classification, making a significant impact in her field.