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- The Medical Artificial Intelligence Laboratory (led by Professor Jong-Dae Baek) has been selected as ... (2023-04-24)
- The Medical Artificial Intelligence Laboratory (led by Professor Jong-Dae Baek) has been selected as the Editor's Choice in the world's top journal for medical physics research. Professor Baek Jong-duk's medical artificial intelligence research lab has been selected as an Editor's Choice in the world's top journal in the field of medical physics, Medical Physics, for a paper they published in December 2022. Medical Physics is a highly respected academic journal in the field of medical physics, and it selects the top four papers (one for each research area) as Editor's Choice for free access. In particular, among the Medical Physics papers published by domestic researchers in the last three years, this is the only one to be selected as Editor's Choice, which shows its significant academic significance. The paper titled "A streak artifact reduction algorithm in sparse-view CT using a self-supervised neural representation" proposes a neural representation method based on neural radiance field (NeRF) and an image processing algorithm that utilizes it to effectively reduce image distortion in sparse-view sampling CT images. The proposed method can learn from a single input shooting data and shows better image quality and generalization performance than existing image-based deep learning methods that use multiple training data, as verified through various simulations and real-world data. Through this, the paper suggests a new direction for personalized and precise medical image restoration using artificial intelligence technology. This technology is expected to play a significant role in the future revenue visualization of Barnes Imaging, a medical artificial intelligence company founded by Professor Baek's research team. The research was supported by the Basic Research Laboratory and Mid-Career Researcher Support Programs of the National Research Foundation of Korea.
- 첨단컴퓨팅공학부 2025.01.14
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- Professor Young-Seok Kim's research team has had one paper accepted at the top-tier academic conference ... (2023-04-24)
- Professor Young-Seok Kim's research team has had one paper accepted at the top-tier academic conference in the field of databases, SIGMOD 2023 Professor Young-Seok Kim's research team has announced that they will present one paper at the 2023 ACM SIGMOD International Conference on Management of Data (SIGMOD 2023), the most prestigious academic conference in the field of databases. The paper is co-authored by Chaemin Lim, a student in the Department of Artificial Intelligence, and Seongyeon Park, Suhyun Lee, Jinwoo Choi, and Jounghoo Lee, students in the Department of Computer Science. The title of the accepted paper is "Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs". The paper proposes using the processing-in-memory (PIM) feature of dual in-line memory module (DIMM) hardware to accelerate join operations, which are one of the core operations in relational databases. While previous studies assumed hardware features that differ from actual DIMM hardware and verified their proposed techniques using simulators, this study is the world's first to empirically demonstrate that PIM can improve join operation performance using actual DIMM hardware. The results of this research are expected to be presented at SIGMOD 2023, which will be held in Seattle, USA in June 2023.
- 첨단컴퓨팅공학부 2025.01.14