Papers citing 'Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models'

Title
MSDM: Generating Task-Specific Pathology Images with a Multimodal Conditioned Diffusion Model for Cell and Nuclei Segmentation Dominik Winter Mai Bui Monica Azqueta Gavaldon Nicolas Triltsch Marco Rosati N. Brieu MedIm 139 0 0 10 Oct 2025
Pixel super-resolved virtual staining of label-free tissue using diffusion models Yijie Zhang Luzhe Huang N. Pillar Rui Wang Hanlong Chen Aydogan Ozcan 251 3 0 01 Jul 2025
Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification GaYeon Koh Hyun-Jic Oh Jeonghyun Noh Won-Ki Jeong DiffM 158 2 0 02 Jun 2025
CLIP-IT: CLIP-based Pairing for Histology Images Classification Banafsheh Karimian Giulia Avanzato Soufian Belharbi Luke McCaffrey Luke McCaffrey Mohammadhadi Shateri Eric Granger VLM 304 0 0 22 Apr 2025
Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology Lirui Qi Hongliang He Tong Wang Siwei Feng Guohong Fu MedIm 156 0 0 02 Apr 2025
Semantic Image Synthesis via Diffusion Models Weilun Wang Weilun Wang Wen-gang Zhou Dongdong Chen Dong Chen Lu Yuan Houqiang Li DiffM 677 199 0 30 Jun 2022