PUUMA (Placental patch and whole-Uterus dual-branch U-Mamba-based Architecture): Functional MRI Prediction of Gestational Age at Birth and Preterm Risk
Diego Fajardo-Rojas, Levente Baljer, Jordina Aviles Verdera, Megan Hall, Daniel Cromb, Mary A. Rutherford, Lisa Story, Emma C. Robinson, Jana Hutter
机构
*
Early Life Imaging department, King's College London, London, UK(早期生命成像部门,伦敦国王学院)
;
Biomedical Computing department, King's College London, London, UK(生物医学计算部门,伦敦国王学院)
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Neuroimaging department, King's College London, London, UK(神经影像部门,伦敦国王学院)
;
Smart Imaging Lab, Radiological Institute, University Hospital Erlangen, Erlangen, Germany(智能成像实验室,放射学研究院,埃尔兰根大学医院)
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Women's Health department, School of Life Course and Population Sciences, King's College London, London, UK(妇女健康部门,生命课程与人口科学学院,伦敦国王学院)
专题命中
医学影像
:MRI(title,abstract);分类 cs.LG、eess.IV
Comments11 pages, 4 figures, 2 tables, to be published in with Springer - Lecture Notes in Computer Science, as part of PerInatal, Preterm and Paediatric Image (PIPPI) Analysis workshop held in conjunction with MICCAI 2025
Physics-Guided Diffusion Transformer with Spherical Harmonic Posterior Sampling for High-Fidelity Angular Super-Resolution in Diffusion MRI
Mu Nan, Taohui Xiao, Ruoyou Wu, Shoujun Yu, Ye Li, Hairong Zheng, Shanshan Wang
机构
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Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences(深圳先进技术研究院生物医学成像研究中心,中国科学院)
SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception
Guohao Huo, Ruiting Dai, Ling Shao, Hao Tang
机构
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University of Electronic Science and Technology of China(电子科技大学)
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University of Chinese Academy of Sciences(中国科学院大学)
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School of Computer Science, Peking University(北京大学计算机学院)
Faster, Self-Supervised Super-Resolution for Anisotropic Multi-View MRI Using a Sparse Coordinate Loss
Maja Schlereth, Moritz Schillinger, Katharina Breininger
机构
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Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany(生物医学工程人工智能系,弗赖堡-艾尔兰根大学)
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Center for AI and Data Science (CAIDAS), Julius-Maximilians-Universität Würzburg, Würzburg, Germany(人工智能与数据科学中心,约斯特-马克斯米利安-乌尔姆大学)
Association of Timing and Duration of Moderate-to-Vigorous Physical Activity with Cognitive Function and Brain Aging: A Population-Based Study Using the UK Biobank
Wasif Khan, Lin Gu, Noah Hammarlund, Lei Xing, Joshua K. Wong, Ruogu Fang
机构
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J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida(朱·克雷顿·普瑞特生物医学工程系,佛罗里达大学)
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Department of Health Services Research, Management and Policy, University of Florida(健康服务研究、管理与政策系,佛罗里达大学)
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Department of Radiation Oncology, Stanford University(放射肿瘤学系,斯坦福大学)
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Norman Fixel Institute for Neurological Diseases, University of Florida(诺曼·菲克斯神经疾病研究所,佛罗里达大学)
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Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida(认知衰老与记忆中心,麦金尼脑研究所,佛罗里达大学)
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Department of Electrical and Computer Engineering, University of Florida(电气与计算机工程系,佛罗里达大学)
专题命中
医学影像
:MRI(abstract);分类 q-bio
CommentsThis article is currently under review. The Supplementary Tables A1-A7 could not be attached with the current submission but it can be requested from the corresponding author
Research on Conversational Recommender System Considering Consumer Types
Yaying Luo, Hui Fang, Zhu Sun
专题命中
医学影像
:CT(abstract)
CommentsThe tables Recommendation strategies for different consumer types need to be modified. Correspondence of Recommendation strategies are incorrect