Identifying Supermassive Black Hole Binaries with Broad Emission Line Diagnosis
专题命中 诊断辅助 :diagnosis(title)
Comments Updated references and discussions; matched to the published version
Journal ref Astrophys.J.725:249-260,2010
科学与医疗
医学智能、临床 AI、医学影像、病理、诊断和医疗健康大模型。
专题命中 诊断辅助 :diagnosis(title)
Comments Updated references and discussions; matched to the published version
Journal ref Astrophys.J.725:249-260,2010
专题命中 诊断辅助 :diagnosis(title)
Comments Revised version after reviewers' comments (28 pages, 20 figures)
Journal ref Journal of Economic Behavior & Organization 74 (3), 149-162 (2010)
专题命中 诊断辅助 :diagnosis(title)
专题命中 诊断辅助 :diagnosis(title)
Comments 25 pages
专题命中 诊断辅助 :diagnosis(title)
Comments 5pages 3figures
专题命中 诊断辅助 :diagnosis(title)
Comments 8 pages with 6 eps figures, aipproc.cls. To appear in Proceedings of the Albert Einstein Century International Conference, Paris, France, 2005, edited by Jean-Michel Alimi and Andre Fuzfa (American Institute of Physics)
专题命中 诊断辅助 :diagnosis(title)
Comments 9 pages, 8 figures
专题命中 诊断辅助 :diagnosis(title)
Comments 4 pages, 4 figures
专题命中 诊断辅助 :diagnosis(title)
Comments 59 pages, 13 figures, 5 tables. Accepted for publication in ApJ: November 19, 2007
Journal ref Astrophys.J.675:1171-1193,2008
专题命中 诊断辅助 :diagnosis(title)
Comments 14 pages, 3 figures, v2:minor error corrected in Section II, v3: refs added
Journal ref Phys.Lett.B670:231-234,2008
专题命中 诊断辅助 :diagnosis(title)
Comments 17 pages, 6 tables, 8 figures
Journal ref Phys.Rev.D77:024019,2008
专题命中 诊断辅助 :diagnosis(title)
Comments v1: 15 pages with 13 figures, mn2e.cls. Submitted to the Monthly Notices of the Royal Astronomical Society; v2: 16 pages with 17 figures, mn2e.cls. Monthly Notices of the Royal Astronomical Society (2006) in press
Journal ref Mon.Not.Roy.Astron.Soc.368:1429-1442,2006
专题命中 诊断辅助 :diagnosis(title)
Comments 12 pages, 0 figures, uses llncs.sty In Proceedings of the 17th Workshop on Logic-based methods in Programming Environments, Eds. Patricia Hill and Wim Vanhoof, pp 48-60, September 2007, Porto, Portugal
专题命中 诊断辅助 :diagnosis(title)
专题命中 诊断辅助 :diagnosis(title)
Journal ref Biomechanics Applied to Computer Assisted Surgery Research Signpost Publisher (Ed.) (2005) 299-310
专题命中 诊断辅助 :diagnosis(title)
Comments 4 pages, 4 figures
专题命中 诊断辅助 :diagnosis(title)
Comments Additional section on iFDS (cond-mat/0410443)
专题命中 诊断辅助 :diagnosis(title)
Comments To appear in the proceedings of the ESO/ATNF Workshop "Looking Deep in the Southern Sky", eds R. Morganti and W.J. Couch, (Publ:Springer-Verlag). The colour plate is available from http://www.phys.unsw.edu.au/~spd/bib.html
专题命中 诊断辅助 :diagnosis(title)
Comments 9 pages, eplain TeX, other macro files included; some versions of TeX epsf may have trouble with figures, in which case try the Postscript or PDF generated automatically by the Archive
专题命中 诊断辅助 :diagnosis(title)
Comments 29 pages, 11 figures. Typo corrected in Eq.(4.17)
Journal ref JHEP 0211 (2002) 044
专题命中 诊断辅助 :diagnosis(title)
Comments Invited review talk at the 5th International Conference on Supersymmetries in Physics (SUSY 97), Philadelphia, PA, May 27-31, 1997. Latex 2.09, 10 pages, 14 eps files, uses espcrc2.sty (included) and epsf.sty
Journal ref Nucl.Phys.Proc.Suppl.62:13-22,1998
专题命中 诊断辅助 :diagnosis(title)
Comments 24 pages, including 5 figures; Presented at the 29th Krakow School of Theoretical Physics, Zakopane, June 1999, submitted to Acta Physica Polonica B
Journal ref ActaPhys.Polon.B30:3559-3583,1999
专题命中 诊断辅助 :diagnosis(title)
Comments Presented at CLNLP'95. An improved version is available under the name "A Type is a Type is a Type" from the Authors
专题命中 诊断辅助 :CT(abstract);diagnosis(abstract);分类 q-bio;radiology(comments)
Comments Submitted to Radiology: AI
专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV、cs.LG、q-bio;medical image(journal_ref)
Journal ref Medical Image Understanding and Analysis. MIUA 2021
开发一种用于从传统心血管磁共振(CMR)图像中诊断心脏病的自动化、可靠且具有临床意义的人工智能(AI)工具
专题命中 诊断辅助 :pathology(abstract);diagnosis(abstract);分类 cs.CV
AI总结 研究旨在开发用于CMR图像心脏病诊断的AI工具,通过整合开源LLMs和预处理多模态数据,对三种视觉基础模型两阶段微调,在独立测试集上有高诊断性能,集成策略进一步提升准确性和鲁棒性,代码和模型权重公开。
两阶段跨域宫颈异常筛查:细胞病理图像合成与知识蒸馏
机构 * School of Artificial Intelligence and Computer Science, Nantong University(南通大学人工智能与计算机科学学院) ; School of Telecommunications Engineering, Xidian University(西安电子科技大学通信工程学院) ; College of Computer Science and Technology, Zhejiang University(浙江大学计算机科学与技术学院) ; School of Biomedical Engineering, Shanghai Jiao Tong University(上海交通大学生物医学工程学院) ; Department of Computer Science, Durham University(杜伦大学计算机科学系)
专题命中 诊断辅助 :pathology(abstract);diagnosis(abstract);分类 cs.CV
AI总结 提出两阶段框架,先用SC-UNSB合成中间域缓解域偏移,再用知识蒸馏对齐特征,提升跨域宫颈细胞检测性能。
LLM能否准确评分医学诊断和临床推理?
机构 * Wits MIND Institute, University of the Witwatersrand, Johannesburg, South Africa(维特士心理研究所,沃斯兰德大学,约翰内斯堡,南非) ; Grai Labs, Cape Town, South Africa(格雷实验室,开普敦,南非) ; South African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa(南非医学研究理事会疫苗和传染病分析研究组,健康科学学院,沃斯兰德大学,约翰内斯堡,南非) ; Department of Internal Medicine, Charlotte Maxeke Johannesburg Academic Hospital, and Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa(内科学系,查理·马克斯凯约翰内斯堡学术医院,以及健康科学学院,沃斯兰德大学,约翰内斯堡,南非) ; Department of Paediatrics and Child Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa(儿科学与儿童健康系,健康科学学院,沃斯兰德大学,约翰内斯堡,南非) ; Wits MIND Institute, University of the Witwatersrand, Johannesbu(维特士心理研究所,沃斯兰德大学,约翰内斯堡)
专题命中 诊断辅助 :medical AI(abstract);diagnosis(abstract);分类 cs.LG
AI总结 研究使用LLM陪审团对300例低收入和中等收入国家医院病例的3334个诊断进行评分,发现校准后的LLM评分与专家评分高度一致,且严重错误风险更低,可作为可靠的评估代理。
脑基础模型嵌入中的批次效应
专题命中 诊断辅助 :diagnosis(abstract);biomedical(abstract);分类 eess.SP
AI总结 研究评估了两个脑影像基础模型在多中心fMRI数据集中的嵌入表现,发现嵌入编码了显著的批次相关变异,并探讨了和谐化对嵌入的影响,揭示了不同模型对区域活动和区域交互的偏好。
论归纳偏置在时间序列预训练中的作用:以临床时间序列学习通用表征的案例研究
机构 * ETH Zurich(苏黎世联邦理工学院) ; Swiss Paraplegic Research(瑞士脊髓损伤研究所) ; ETH Zurich, Swiss Paraplegic Research(苏黎世联邦理工学院、瑞士脊髓损伤研究所)
专题命中 诊断辅助 :pathology(abstract);diagnosis(abstract);分类 cs.LG
AI总结 通过PathoFM编码器中心Transformer,结合局部补全、时间连续性和无监督上下文动力学三种互补目标,研究预训练目标中归纳偏置对跨任务类型和受试者迁移的影响,发现动态中心混合目标能产生最平衡的迁移表征。