Results 31 to 40 of about 15,549,974 (248)

Diffusion-Model-Based Downscaling of Observed Sea Surface Height over the Kuroshio Extension Since 2000

Atmosphere
Satellite altimetry measurements enable the resolution of ocean variability from basin-scale to mesoscale. However, the spatial resolution is still limited.
Qiuchang Han, Xingliang Jiang, Yang Zhao, Xudong Wang   +3 more
doaj   +1 more source

Matryoshka Diffusion Models

CoRR, 2023
Accepted by ...
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang 0002, Josh M. Susskind, Navdeep Jaitly   +4 more
openaire   +3 more sources

Advancing Traditional Dunhuang Regional Pattern Design with Diffusion Adapter Networks and Cross-Entropy

Entropy
To promote the inheritance of traditional culture, a variety of emerging methods rooted in machine learning and deep learning have been introduced. Dunhuang patterns, an important part of traditional Chinese culture, are difficult to collect in large ...
Yihuan Tian, Tao Yu, Zuling Cheng, Sunjung Lee   +3 more
doaj   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani, Rachel K. Peterson, Avani D. Rao, Laurie J. McKenzie, Ahmed Magdy Elmotayam, Leslie Chang, Michael Roth, Susan L. McGovern   +7 more
wiley   +1 more source

DiffBTS: A Lightweight Diffusion Model for 3D Multimodal Brain Tumor Segmentation

Sensors
Denoising diffusion probabilistic models (DDPMs) have achieved remarkable success across various research domains. However, their high complexity when processing 3D images remains a limitation. To mitigate this, researchers typically preprocess data into
Zuxin Nie, Jiahong Yang, Chengxuan Li, Yaqin Wang, Jun Tang   +4 more
doaj   +1 more source

MFBP-UNet: A Network for Pear Leaf Disease Segmentation in Natural Agricultural Environments

Plants, 2023
The accurate prevention and control of pear tree diseases, especially the precise segmentation of leaf diseases, poses a serious challenge to fruit farmers globally.
Haoyu Wang, Jie Ding, Sifan He, Cheng Feng, Cheng Zhang, Guohua Fan, Yunzhi Wu, Youhua Zhang   +7 more
doaj   +1 more source

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben, Marisa H. Huisman, Martha A. Grootenhuis, Femke K. Aarsen, Marita Partanen   +4 more
wiley   +1 more source

A state-of-the-art review of diffusion model applications for microscopic image and micro-alike image analysis

Frontiers in Medicine
Diffusion models, a class of deep learning models based on probabilistic generative processes, progressively transform data into noise and then reconstruct the original data through an inverse process.
Yan Liu, Tao Jiang, Rui Li, Lingling Yuan, Marcin Grzegorzek, Chen Li, Xiaoyan Li   +6 more
doaj   +1 more source

Enhancing Remote Sensing Image Super-Resolution with Efficient Hybrid Conditional Diffusion Model

Remote Sensing, 2023
Recently, optical remote-sensing images have been widely applied in fields such as environmental monitoring and land cover classification. However, due to limitations in imaging equipment and other factors, low-resolution images that are unfavorable for ...
Lintao Han, Yuchen Zhao, Hengyi Lv, Yisa Zhang, Hailong Liu, Guoling Bi, Qing Han   +6 more
doaj   +1 more source

Squeezed Diffusion Models

CoRR
Diffusion models typically inject isotropic Gaussian noise, disregarding structure in the data. Motivated by the way quantum squeezed states redistribute uncertainty according to the Heisenberg uncertainty principle, we introduce Squeezed Diffusion Models (SDM), which scale noise anisotropically along the principal component of the training ...
Jyotirmai Singh, Samar Khanna, James Burgess   +2 more
openaire   +2 more sources