3 citations · 3 across the 3 of their papers we have counts for
3 papers
: Improving Spatial Transcriptomics Prediction with Hybrid State Space-Vision Transformer Backbone in Pathology Vision Foundation Models
Won June Cho, Hongjun Yoon, Daeky Jeong +2
Spatial transcriptomics reveals gene expression patterns within tissue context, enabling precision oncology applications such as treatment response prediction, but its high cost an…
Enhancing Diagnosis through AI-driven Analysis of Reflectance Confocal Microscopy
Hong-Jun Yoon, Chris Keum, Alexander Witkowski +4
Reflectance Confocal Microscopy (RCM) is a non-invasive imaging technique used in biomedical research and clinical dermatology. It provides virtual high-resolution images of the sk…
Ultra-Long Sequence Distributed Transformer
Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris +7
Transformer models trained on long sequences often achieve higher accuracy than short sequences. Unfortunately, conventional transformers struggle with long sequence training due t…