47 citations
- University of UlsanKR5 papers
- Ulsan CollegeKR4 papers
- Korea Advanced Institute of Science and TechnologyKR3 papers
- Korea Institute of Science and TechnologyKR2 papers
- MizMedi HospitalKR2 papers
- Yonsei UniversityKR2 papers
- Bloomberg (United States)US1 paper
- Catholic University of KoreaKR1 paper
- Ehime UniversityJP1 paper
- Hanby Environmental (United States)US1 paper
- Institut d'Astrophysique de ParisFR1 paper
- Institute of Astronomy and Astrophysics, Academia SinicaTW1 paper
4 papers · 1 filter
InMD-X: Large Language Models for Internal Medicine Doctors
Hansle Gwon, Imjin Ahn, Hyoje Jung +3
In this paper, we introduce InMD-X, a collection of multiple large language models specifically designed to cater to the unique characteristics and demands of Internal Medicine Doc…
NOTE: Notable generation Of patient Text summaries through Efficient approach based on direct preference optimization
Imjin Ahn, Hansle Gwon, Young-Hak Kim +2
The discharge summary is a one of critical documents in the patient journey, encompassing all events experienced during hospitalization, including multiple visits, medications, tes…
CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration
Boah Kim, Dong Hwan Kim, Seong Ho Park +3
Image registration is a fundamental task in medical image analysis. Recently, deep learning based image registration methods have been extensively investigated due to their excelle…
Unsupervised Deformable Image Registration Using Cycle-Consistent CNN
Boah Kim, Jieun Kim, June-Goo Lee +3
Medical image registration is one of the key processing steps for biomedical image analysis such as cancer diagnosis. Recently, deep learning based supervised and unsupervised imag…