Robust Multi-Source Covid-19 Detection in CT Images
在CT图像中实现鲁棒的多源新冠检测
Asmita Yuki Pritha, Jason Xu, Daniel Ding, Justin Li, Aryana Hou, Xin Wang, Shu Hu
机构
*
Capstone School Dhaka(达卡顶点学校)
;
Carmel High School(卡梅尔高中)
;
Clarkstown High School South(克拉克镇南高中)
;
University at Albany, State University of New York(纽约州立大学奥尔巴尼分校)
;
Purdue University(普渡大学)
MAESIL: Masked Autoencoder for Enhanced Self-supervised Medical Image Learning
MAESIL:用于增强自监督医学图像学习的掩码自编码器
Kyeonghun Kim, Hyeonseok Jung, Youngung Han, Junsu Lim, YeonJu Jean, Seongbin Park, Eunseob Choi, Hyunsu Go, SeoYoung Ju, Seohyoung Park, Gyeongmin Kim, MinJu Kwon, KyungSeok Yuh, Soo Yong Kim, Ken Ying-Kai Liao, Nam-Joon Kim, Hyuk-Jae Lee
FOSCU: Feasibility of Synthetic MRI Generation via Duo-Diffusion Models for Enhancement of 3D U-Nets in Hepatic Segmentation
FOSCU:通过双扩散模型生成合成MRI的可行性,以增强肝部分割的3D U-Net
Youngung Han, Kyeonghun Kim, Seoyoung Ju, Yeonju Jean, Minkyung Cha, Seohyoung Park, Hyeonseok Jung, Nam-Joon Kim, Woo Kyoung Jeong, Ken Ying-Kai Liao, Hyuk-Jae Lee
机构
*
Seoul National University(首尔国立大学)
;
Sangmyung University(祥明大学)
;
Ewha Womans University(梨花女子大学)
;
Chung-Ang University(中央大学)
;
Samsung Medical Center, Sungkyunkwan University School of Medicine(三星医学中心,成均馆大学医学院)
;
NVIDIA(英伟达)
DeepFAN, a transformer-based deep learning model for human-artificial intelligence collaborative assessment of incidental pulmonary nodules in CT scans: a multi-reader, multi-case trial
Zhenchen Zhu, Ge Hu, Weixiong Tan, Kai Gao, Chao Sun, Zhen Zhou, Kepei Xu, Wei Han, Meixia Shang, Xiaoming Qiu, Yiqing Tan, Jinhua Wang, Zhoumeng Ying, Li Peng, Wei Song, Lan Song, Zhengyu Jin, Nan Hong, Yizhou Yu
机构
*
Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College(中国医学科学院北京协和医学院北京协和医院放射科,疑难重症及罕见病国家重点实验室)
;
Theranostics and Translational Research Center, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College(中国医学科学院北京协和医学院北京协和医院临床医学研究所,国家转化医学基础设施,诊疗与转化研究中心,疑难重症及罕见病国家重点实验室)
;
Artificial Intelligence Lab, Deepwise Healthcare(深睿医疗人工智能实验室)
;
Department of Epidemiology and Health Statistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College(中国医学科学院北京协和医学院基础医学研究所流行病学与卫生统计学系)
;
Department of Biostatistics, Peking University First Hospital(北京大学第一医院生物统计室)
;
Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University(湖北理工学院附属医院黄石市中心医院放射科)
;
Department of Radiology, Wuhan Third Hospital, Tongren Hospital of Wuhan University(武汉大学同仁医院武汉市第三医院放射科)
;
+4 Medical Doctor Program, Chinese Academy of Medical Sciences & Peking Union Medical College(中国医学科学院北京协和医学院4+4医学博士项目)
;
Department of Medicine Imaging, School of Clinical Medicine, Southwest Medical University(西南医科大学临床医学院医学影像系)
;
School of Computing and Data Science, The University of Hong Kong(香港大学计算与数据科学学院)
CardioDiT: Latent Diffusion Transformers for 4D Cardiac MRI Synthesis
CardioDiT:用于4D心脏MRI合成的潜在扩散变换器
Marvin Seyfarth, Sarah Kaye Müller, Arman Ghanaat, Isabelle Ayx, Fabian Fastenrath, Philipp Wild, Alexander Hertel, Theano Papavassiliu, Salman Ul Hassan Dar, Sandy Engelhardt
机构
*
Institute for Artificial Intelligence in Cardiovascular Medicine, Medical Faculty of Heidelberg University, Heidelberg University(海德堡大学医学院心血管医学人工智能研究所,海德堡大学)
;
Department of Cardiology, Angiology, Pneumology, Heidelberg University Hospital(海德堡大学医院心脏病学、血管学、肺病学系)
;
DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim(德国心血管研究中心(DZHK),海德堡/曼海姆合作站点)
;
Department of Radiology and Nuclear Medicine, University Medical Center Mannheim(曼海姆大学医学中心放射学与核医学系)
;
Section for Invasive Cardiology and Electrophysiology, I. Medical Department, Cardiology, Hemostasiology and Intensive Care, University Medical Centre Mannheim(曼海姆大学医学中心第一内科(心脏病学、止血学与重症监护)介入心脏病学与电生理学科)
;
University Medical Center of the Johannes Gutenberg-University Mainz(美因茨约翰内斯·古腾堡大学医学中心)
;
Department of Cardiology, Angiology, Hemostasis, and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, University of Heidelberg(海德堡大学曼海姆医学院曼海姆大学医学中心心脏病学、血管学、止血学与内科重症监护系)
AMIF: Authorizable Medical Image Fusion Model with Built-in Authentication
AMIF:具有内置认证的可授权医学图像融合模型
Jie Song, Jun Jia, Wei Sun, Wangqiu Zhou, Tao Tan, Guangtao Zhai
机构
*
Macao Polytechnic University(澳门理工学院)
;
Shanghai Jiao Tong University(上海交通大学)
;
East China Normal University(华东师范大学)
;
Hefei University of Technology(合肥工业大学)
机构
*
Department of Biomedical Engineering, The Chinese University of Hong Kong(生物医学工程系,香港中文大学)
;
Department of Radiation Oncology, Columbia University Irving Medical Center and Data Science Institute, Columbia University(放射肿瘤学系,哥伦比亚大学伊万杰琳医学中心及数据科学研究院,哥伦比亚大学)
;
Department of Electrical and Electronic Engineering and School of Biomedical Engineering, The University of Hong Kong(电气电子工程系和生物医学工程学院,香港大学)
;
Department of Computer Science, City University of Hong Kong(计算机科学系,城市大学)
;
Department of Artificial Intelligence, Westlake University(人工智能系,西湖大学)
SHAPE: Structure-aware Hierarchical Unsupervised Domain Adaptation with Plausibility Evaluation for Medical Image Segmentation
SHAPE:基于结构的分层无监督领域自适应与合理性评估用于医学图像分割
Linkuan Zhou, Yinghao Xia, Yufei Shen, Xiangyu Li, Wenjie Du, Cong Cong, Leyi Wei, Ran Su, Qiangguo Jin
机构
*
School of Software, Northwestern Polytechnical University(西北工业大学软件学院)
;
School of Computer Science and Technology, Harbin Institute of Technology(哈尔滨工业大学计算机科学与技术学院)
;
School of Software Engineering, USTC(USTC软件工程学院)
;
Australian Institute of Health Innovation, Macquarie University(麦考瑞大学健康创新研究所)
;
Faculty of Applied Science, Macao Polytechnic University(澳门理工学院应用科学学院)
;
School of Computer Software, Tianjin University(天津大学计算机软件学院)
PGR-Net: Prior-Guided ROI Reasoning Network for Brain Tumor MRI Segmentation
PGR-Net:基于先验的感兴趣区域推理网络用于脑肿瘤MRI分割
Jiacheng Lu, Hui Ding, Shiyu Zhang, Guoping Huo
机构
*
College of Information Engineering, Capital Normal University(首都师范大学信息工程学院)
;
School of Artificial Intelligence, China University of Mining and Technology-Beijing(中国矿业大学(北京)人工智能学院)
机构
*
School of Artificial Intelligence(人工智能学院)
;
School of Computer Science and Technology(计算机科学与技术学院)
;
State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology(光电信息采集与防护技术国家重点实验室)
;
Anhui Provincial Key Laboratory of Security Artificial Intelligence(安徽省安全人工智能重点实验室)
;
Anhui Provincial Key Laboratory of Multimodal Cognitive Computation(安徽省多模态认知计算重点实验室)
Leveraging Foundation Models for Content-Based Image Retrieval in Radiology
利用基础模型进行放射学中的基于内容的图像检索
Stefan Denner, David Zimmerer, Dimitrios Bounias, Markus Bujotzek, Shuhan Xiao, Raphael Stock, Lisa Kausch, Philipp Schader, Tobias Penzkofer, Paul F. Jäger, Klaus Maier-Hein
机构
*
German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing(德国癌症研究中心(DKFZ)海德堡分部医学影像计算部门)
;
Faculty of Mathematics and Computer Science, Heidelberg University(海德堡大学数学与计算机科学学院)
;
Medical Faculty Heidelberg, University of Heidelberg(海德堡大学医学学院)
;
Department of Radiology, Charité - Universitätsmedizin Berlin(柏林夏里特医学院放射科)
;
German Cancer Research Center (DKFZ) Heidelberg, Interactive Machine Learning Group(德国癌症研究中心(DKFZ)海德堡交互式机器学习小组)
SCOUT: Fast Spectral CT Imaging in Ultra LOw-data Regimes via PseUdo-label GeneraTion
SCOUT:通过伪标签生成实现超低数据条件下快速光谱CT成像
Guoquan Wei, Liu Shi, Shaoyu Wang, Mohan Li, Cunfeng Wei, Qiegen Liu
机构
*
School of Information Engineering, Nanchang University(南昌大学信息工程学院)
;
Institute of High Energy Physics, Chinese Academy of Sciences(中国科学院高能物理研究所)
;
Jinan Laboratory of Applied Nuclear Science(济南应用核科学实验室)
;
Ray Image Testing Technology (Jinan) Co. Ltd(济南雷像测试技术有限公司)
Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis
通过混合低秩专家专门化基础模型以实现全面头部CT分析
Youngjin Yoo, Han Liu, Bogdan Georgescu, Yanbo Zhang, Sasa Grbic, Michael Baumgartner, Thomas J. Re, Jyotipriya Das, Poikavila Ullaskrishnan, Eva Eibenberger, Andrei Chekkoury, Uttam K. Bodanapally, Savvas Nicolaou, Pina C. Sanelli, Thomas J. Schroeppel, Yvonne W. Lui, Eli Gibson
机构
*
Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ USA(西门子医疗数字化技术与创新部)
;
Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany(西门子医疗计算机断层扫描部)
;
Department of Radiology, New York University, New York, NY USA(纽约大学放射科部)
;
Department of Radiology, University of Maryland Medical Center, Baltimore, MD USA(马里兰大学医学中心放射科部)
;
Department of Radiology, Vancouver General Hospital, Vancouver, BC Canada(温哥华总医院放射科部)
;
Department of Radiology, Northwell Health, New York, NY USA(北well医疗放射科部)
;
Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, CO USA(UCHealth纪念医院外科部)
Enhancing Renal Tumor Malignancy Prediction: Deep Learning with Automatic 3D CT Organ Focused Attention
增强肾肿瘤恶性预测:基于自动3D CT器官聚焦注意力的深度学习
Zhengkang Fan, Chengkun Sun, Russell Terry, Jie Xu, Longin Jan Latecki
机构
*
1 Department of Health Outcomes \& Biomedical Informatics, University of Florida, Gainesville, FL, USA 2 Department of Urology, University of Florida, Gainesville, FL, USA 3 Department of Computer \& Information Sciences, Temple University, Philadelphia, PA, USA
机构
*
Center for Applied Statistics and School of Statistics(应用统计中心和统计学院)
;
Renmin University of China(中国人民大学)
;
Institute of Sports Medicine of Peking University(北京大学运动医学研究所)
;
Beijing Key Laboratory of Research and Translation for Drugs and Medical Devices in Precision Diagnosis and Treatment of Sports Injuries(北京体育损伤精准诊断与治疗药物与医疗设备研究翻译重点实验室)
;
State Key Laboratory of Virtual Reality Technology and Systems(虚拟现实技术与系统国家重点实验室)
Towards Personalized Multi-Modal MRI Synthesis across Heterogeneous Datasets
面向异质数据集的个性化多模态MRI合成
Yue Zhang, Zhizheng Zhuo, Siyao Xu, Shan Lv, Zhaoxi Liu, Jun Qiu, Qiuli Wang, Yaou Liu, S. Kevin Zhou
机构
*
University of Science and Technology of China(中国科学技术大学)
;
University of Electronic Science and Technology of China(电子科技大学)
;
Capital Medical University(首都医科大学)
;
Army Medical University(中国人民解放军陆军军医大学)
;
China National Clinical Research Center for Neurological Diseases(中国国家神经疾病临床研究中心)