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1 out of 2 Years Active: 2022-2023
Title: Seokhyeon Ha: Innovator in Uncertainty Prediction and Medical Imaging
Introduction
Seokhyeon Ha is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the fields of uncertainty prediction and medical imaging through his innovative patents. With a total of 2 patents, his work showcases the intersection of artificial intelligence and practical applications in healthcare.
Latest Patents
Seokhyeon Ha's latest patents include an "Apparatus and method for generating sampling model for uncertainty prediction." This invention features an uncertainty prediction apparatus that utilizes an artificial neural network model trained through deep learning. It incorporates sampling models based on weights obtained during the training process, allowing for the generation of result values that reflect uncertainty degrees.
Another notable patent is the "Apparatus and method for generating medical image segmentation deep-learning model." This invention includes a training data generation and allocation unit that creates a training dataset from segmentation results of medical images. The model is designed to update weights through a learning control unit, enhancing its accuracy through repeated primary and secondary learning processes.
Career Highlights
Seokhyeon Ha has worked with esteemed institutions such as Seoul National University and Hodooal Lab Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology and healthcare.
Collaborations
Seokhyeon has collaborated with notable colleagues, including Jungwoo Lee and Chanwoo Park. Their teamwork has fostered an environment of creativity and innovation, leading to the development of impactful technologies.
Conclusion
Seokhyeon Ha's contributions to uncertainty prediction and medical imaging exemplify the power of innovation in addressing complex challenges. His patents reflect a commitment to advancing technology for practical applications in healthcare.