Výsledky vyhledávání

Report

Denoising Diffusions in Latent Space for Medical Image Segmentation

Autor: Zaman, Fahim Ahmed, Jacob, Mathews, Chang, Amanda, Liu, Kan, Sonka, Milan, Wu, Xiaodong

Diffusion models (DPMs) have demonstrated remarkable performance in image generation, often times outperforming other generative models. Since their introduction, the powerful noise-to-image denoising pipeline has been extended to various discriminat

Externí odkaz: http://arxiv.org/abs/2407.12952

Zobrazit plný text záznamu

Report

SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules

Autor: Li, Suyi, Yang, Lingyun, Jiang, Xiaoxiao, Lu, Hanfeng, An, Dakai, Di, Zhipeng, Lu, Weiyi, Chen, Jiawei, Liu, Kan, Yu, Yinghao, Lan, Tao, Yang, Guodong, Qu, Lin, Zhang, Liping, Wang, Wei

Text-to-image (T2I) generation using diffusion models has become a blockbuster service in today's AI cloud. A production T2I service typically involves a serving workflow where a base diffusion model is augmented with various "add-on" modules, notabl

Externí odkaz: http://arxiv.org/abs/2407.02031

Zobrazit plný text záznamu

Report

Diagnosis Of Takotsubo Syndrome By Robust Feature Selection From The Complex Latent Space Of DL-based Segmentation Network

Autor: Zaman, Fahim Ahmed, Alam, Wahidul, Roy, Tarun Kanti, Chang, Amanda, Liu, Kan, Wu, Xiaodong

Researchers have shown significant correlations among segmented objects in various medical imaging modalities and disease related pathologies. Several studies showed that using hand crafted features for disease prediction neglects the immense possibi

Externí odkaz: http://arxiv.org/abs/2312.12653

Zobrazit plný text záznamu

Report

Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation

Autor: Zaman, Fahim Ahmed, Jacob, Mathews, Chang, Amanda, Liu, Kan, Sonka, Milan, Wu, Xiaodong

Diffusion models have shown impressive performance for image generation, often times outperforming other generative models. Since their introduction, researchers have extended the powerful noise-to-image denoising pipeline to discriminative tasks, in

Externí odkaz: http://arxiv.org/abs/2312.12649

Zobrazit plný text záznamu

Report

Fusion of the Power from Citations: Enhance your Influence by Integrating Information from References

Autor: Qi, Cong, Liu, Qin, Liu, Kan

Influence prediction plays a crucial role in the academic community. The amount of scholars' influence determines whether their work will be accepted by others. Most existing research focuses on predicting one paper's citation count after a period or

Externí odkaz: http://arxiv.org/abs/2310.18451

Zobrazit plný text záznamu