Zobrazeno 1 - 10
of 5 008
pro vyhledávání: '"Hammers, A"'
Autor:
Webber, George, Mizuno, Yuya, Howes, Oliver D., Hammers, Alexander, King, Andrew P., Reader, Andrew J.
Medical image reconstruction with pre-trained score-based generative models (SGMs) has advantages over other existing state-of-the-art deep-learned reconstruction methods, including improved resilience to different scanner setups and advanced image d
Externí odkaz:
http://arxiv.org/abs/2412.04339
Autor:
Webber, George, Mizuno, Yuya, Howes, Oliver D., Hammers, Alexander, King, Andrew P., Reader, Andrew J.
Large high-quality medical image datasets are difficult to acquire but necessary for many deep learning applications. For positron emission tomography (PET), reconstructed image quality is limited by inherent Poisson noise. We propose a novel method
Externí odkaz:
http://arxiv.org/abs/2412.04324
Autor:
Webber, George, Mizuno, Yuya, Howes, Oliver D., Hammers, Alexander, King, Andrew P., Reader, Andrew J.
Score-based generative models (SGMs) have recently shown promising results for image reconstruction on simulated positron emission tomography (PET) datasets. In this work we have developed and implemented practical methodology for 3D image reconstruc
Externí odkaz:
http://arxiv.org/abs/2412.04319
Autor:
Bintsi, Kyriaki-Margarita, Mueller, Tamara T., Starck, Sophie, Baltatzis, Vasileios, Hammers, Alexander, Rueckert, Daniel
The difference between the chronological and biological brain age of a subject can be an important biomarker for neurodegenerative diseases, thus brain age estimation can be crucial in clinical settings. One way to incorporate multimodal information
Externí odkaz:
http://arxiv.org/abs/2309.14816
Autor:
Bintsi, Kyriaki-Margarita, Baltatzis, Vasileios, Potamias, Rolandos Alexandros, Hammers, Alexander, Rueckert, Daniel
Brain age estimation is clinically important as it can provide valuable information in the context of neurodegenerative diseases such as Alzheimer's. Population graphs, which include multimodal imaging information of the subjects along with the relat
Externí odkaz:
http://arxiv.org/abs/2307.04639
Autor:
Dorrian G. Cohen, Theresa M. Heidenreich, Jason W. Schorey, Jessica N. Ross, Daniel E. Hammers, Henry M. Vu, Thomas E. Moran, Christopher J. Winski, Peter V. Stuckey, Robbi L. Ross, Elizabeth Arsenault Yee, Felipe H. Santiago-Tirado, Shaun W. Lee
Publikováno v:
Frontiers in Fungal Biology, Vol 5 (2024)
The antimicrobial peptide (AMP) circularized bacteriocin enterocin AS-48 produced by Enterococcus sp. exhibits broad-spectrum antibacterial activity via dimer insertion into the plasma membrane to form membrane pore structures, compromising membrane
Externí odkaz:
https://doaj.org/article/da265b078c1b47ed9b697101c597b8a0
Autor:
Carey E Gleason, N Maritza Dowling, Firat Kara, Taryn T James, Hector Salazar, Carola A Ferrer Simo, Sherman M Harman, JoAnn E Manson, Dustin B Hammers, Frederick N Naftolin, Lubna Pal, Virginia M Miller, Marcelle I Cedars, Rogerio A Lobo, Michael Malek-Ahmadi, Kejal Kantarci
Publikováno v:
PLoS Medicine, Vol 21, Iss 11, p e1004435 (2024)
BackgroundFindings from Kronos Early Estrogen Prevention Study (KEEPS)-Cog trial suggested no cognitive benefit or harm after 48 months of menopausal hormone therapy (mHT) initiated within 3 years of final menstrual period. To clarify the long-term e
Externí odkaz:
https://doaj.org/article/02cef135864546c9886d87328456d7cf
Autor:
Yaakub, Siti N., McGinnity, Colm J., Kerfoot, Eric, Mérida, Ines, Beck, Katherine, Dunston, Eric, Muffoletto, Marica, Bhattacharya, Suryava, Qureshi, Ahmed, Dunn, Joel, MacKewn, Jane, Hammers, Alexander
Current methods for magnetic resonance-based positron emission tomography attenuation correction (PET-MR AC) are time consuming, and less able than computed tomography (CT)-based AC methods to capture inter-individual variability and skull abnormalit
Externí odkaz:
http://arxiv.org/abs/2212.01294
Autor:
Yaakub, Siti Nurbaya, White, Tristan A., Kerfoot, Eric, Verhagen, Lennart, Hammers, Alexander, Fouragnan, Elsa F.
Background: Individual skull models of bone density and geometry are important when planning the expected transcranial ultrasound acoustic field and estimating mechanical and thermal safety in low-intensity transcranial ultrasound stimulation (TUS) s
Externí odkaz:
http://arxiv.org/abs/2209.12031
Convolutional neural networks (CNNs) are increasingly being used to automate the segmentation of brain structures in magnetic resonance (MR) images for research studies. In other applications, CNN models have been shown to exhibit bias against certai
Externí odkaz:
http://arxiv.org/abs/2208.06613