1 citations · 1 across the 4 of their papers we have counts for
4 papers
Modeling Layered Consciousness with Multi-Agent Large Language Models
Sang Hun Kim, Jongmin Lee, Dongkyu Park +2
We propose a multi-agent framework for modeling artificial consciousness in large language models (LLMs), grounded in psychoanalytic theory. Our \textbf{Psychodynamic Model} simula…
: 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…
VIMs: Virtual Immunohistochemistry Multiplex staining via Text-to-Stain Diffusion Trained on Uniplex Stains
Shikha Dubey, Yosep Chong, Beatrice Knudsen +1
This paper introduces a Virtual Immunohistochemistry Multiplex staining (VIMs) model designed to generate multiple immunohistochemistry (IHC) stains from a single hematoxylin and e…
DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading
Man M. Ho, Elham Ghelichkhan, Yosep Chong +3
Latent Diffusion Models (LDMs) can generate high-fidelity images from noise, offering a promising approach for augmenting histopathology images for training cancer grading models.…