Jin Seong Hong
Papers
3
Total Citations
50
H-Index
3
About
Dr. Jin Seong Hong is a rising leader in the intersection of computer vision and biomedical engineering, with a focus on developing intelligent systems for medical diagnosis and precision agriculture. His primary research areas include multi-scale feature learning, semantic segmentation, and deep learning for endoscopic and surgical applications. Dr. Hong’s most cited work introduces a multi-scale feature retention and aggregation framework for colorectal cancer diagnosis using gastrointestinal images, achieving 26 citations by addressing the critical need for more accurate lesion detection during colonoscopy. He further advanced the field with the CFFR-Net, a channel-wise feature fusion and recalibration network for surgical instrument segmentation in robot-assisted surgery, enhancing procedural safety and planning. Beyond medicine, Dr. Hong has applied his expertise to agriculture, proposing a multi-scale, multi-receptive field feature fusion model for robust segmentation of plant diseases and fruits, a contribution that has garnered 15 citations for its potential to automate and accelerate crop assessment. His work consistently demonstrates a commitment to translating computational innovations into real-world impact, bridging the gap between AI and critical applications in healthcare and sustainable farming.
Research Focus
Key Achievements
Top Papers
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