Med-URWKV†: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation
Med-URWKV†：面向医学图像分割的增强型预训练纯VRWKV模型
Zhenhuan Zhou, Yining Li, Yanlin Wu, Haohan Zou, Yan Wang, Tao Li
机构
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College of Computer Science, Nankai University（南开大学计算机科学学院）
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Key Laboratory of Data and Intelligent System Security, Ministry of Education（教育部数据与智能系统安全重点实验室）
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School of Medicine, Nankai University（南开大学医学院）
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Nankai University Eye institute, Nankai University（南开大学眼科研究院）
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Tianjn Eye Hospital（天津眼科医院）
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Haihe Lab of ITAI（海河ITAI实验室）
A Context-Aware Middleware for Medical Image Based Reports: An approach based on image feature extraction and association rules
基于医学图像报告的情境感知中间件：一种基于图像特征提取和关联规则的方法
Erick O. Rodrigues, Jose Viterbo, Aura Conci, Trueman Mac Henry
机构
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Department of Computer Science（计算机科学系）
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Departament of Mathematics & Statistics（数学与统计学系）
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Universidade Federal Fluminense（联邦Fluminense大学）
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York University（约克大学）
Entropy-Guided Self-Supervised Learning for Medical Image Classification
熵引导的自监督学习用于医学图像分类
Joao Florindo, Viviane Moura
机构
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Institute of Mathematics, Statistics and Scientific Computing（数学、统计与科学计算研究所）
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Department of Applied Mathematics, University of Campinas（应用数学系，坎皮纳斯大学）
Flow Matching with Optimized Subclass Priors for Medical Image Augmentation
利用优化子类先验的流匹配用于医学图像增强
Felix Nützel, Mischa Dombrowski, Bernhard Kainz
机构
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Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91052 Erlangen, Germany（生物医学工程人工智能系，弗里德里希-亚历山大-厄林根-纽伦堡大学）
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Department of Computing, Imperial College London, London SW7 2AZ, UK（计算系，帝国理工学院伦敦分校）
Layer Selection in Feature-Based Losses Affects Image Quality and Microstructural Consistency in Deep Learning Super-Resolution of Brain Diffusion MRI
基于特征的损失函数中层选择影响深度学习超分辨率中图像质量及微结构一致性
David Lohr, Rene Werner
机构
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Institue for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf（应用医学信息学研究所，汉堡大学医学中心）
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Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf（计算神经科学研究所，汉堡大学医学中心）
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Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf（生物医学人工智能中心（bAIome），汉堡大学医学中心）
Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI
生成对抗网络在4D流体磁共振成像超分辨率中的潜力与挑战
Oliver Welin Odeback, Arivazhagan Geetha Balasubramanian, Jonas Schollenberger, Edward Ferdiand, Alistair A. Young, C. Alberto Figueroa, Susanne Schnell, Outi Tammisola, Ricardo Vinuesa, Tobias Granberg, Alexander Fyrdahl, David Marlevi
机构
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Surgery, Karolinska Institutet , addressline= Karolinska Universitetssjukhuset Solna (L1:00) , city= Stockholm , postcode= 171 76 , country= Sweden
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organization= FLOW, Engineering Mechanics, KTH Royal Institute of Technology , addressline= Osquars Backe 18 , city= Stockholm , postcode= 100 44 , country= Sweden
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organization= Department of Radiology
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Biomedical Imaging, University of California San Francisco , addressline= 505 Parnassus Avenue , city= San Francisco , postcode= 94143 , state= CA , country= USA
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organization= Faculty of Informatics, Telkom University , addressline= Jl.Telekomunikasi No. 1, Terusan Buahbatu , city= Bandung , postcode= 40257 , state= West Java , country= Indonesia
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organization= Auckland Bioengineering Institute, University of Auckland , addressline= Bioengineering House, 70 Symonds St , city= Grafton , postcode= 1010 , country= New Zealand
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organization= School of Biomedical Engineering \& Imaging Sciences, King's College London , addressline= 1 Lambeth Palace Rd, South Bank , city= London , postcode= SE1 7EU , country= UK
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organization= Department of Biomedical Engineering, University of Michigan , addressline= 1107 Carl A. Gerstacker Bldg 2200 Bonisteel Blvd. , city= Ann Arbor , postcode= 48109-2099 , state= MI , country= USA
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organization= Department of Physics, University of Greifswald , addressline= Felix-Hausdorff-Str. 6 , city= Greifswald , postcode= 174 89 , country= Germany
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organization= Department of Aerospace Engineering, University of Michigan , addressline= 1320 Beal Avenue , city= Ann Arbor , postcode= 48109-2140 , state= MI , country= USA
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organization= Department of Neuroradiology, Karolinska University Hospital , addressline= Hälsovägen 13, O42 , city= Stockholm , postcode= 141 86 , country= Sweden
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organization= Department of Clinical Physiology, Karolinska University Hospital , addressline= Eugeniavägen 3, A8:01 , city= Solna , postcode= 171 64 , country= Sweden
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organization= Institute for Medical Engineering
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Science, Massachusetts Institute of Technology , addressline= 45 Carleton St , city= Cambridge , postcode= 02142 , state= MA , country= USA
Post-Processing Methods for Improving Accuracy in MRI Inpainting
改进MRI修复精度的后处理方法
Nishad Kulkarni, Krithika Iyer, Austin Tapp, Abhijeet Parida, Daniel Capellán-Martín, Zhifan Jiang, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru
From Explanations to Architecture: Explainability-Driven CNN Refinement for Brain Tumor Classification in MRI
从解释到架构：基于可解释性的CNN细化用于MRI中脑肿瘤分类
Rajan Das Gupta, Md Imrul Hasan Showmick, Lei Wei, Mushfiqur Rahman Abir, Shanjida Akter, Md. Yeasin Rahat, Md. Jakir Hossen
机构
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American International Brac University Faculty of Psychology University-Bangladesh（美国国际布拉大学心理学学院（孟加拉国））
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Shinawatra University Department of Computer Science（辛纳瓦特大学计算机科学系）
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American International North South University（美国国际北南大学）
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American International University–Bangladesh Department of Computer Science（美国国际大学–孟加拉国计算机科学系）
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Multimedia University Department of Computer Science（多媒体大学计算机科学系）
A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation
一种利用直觉模糊逻辑与U-Net和U-Net++架构的新型框架：MRI脑图像分割的案例研究
Hanuman Verma, Kiho Im, Akshansh Gupta, M. Tanveer
机构
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Department of Mathematics, Bareilly College, Bareilly (MJP Rohilkhand University), Uttar Pradesh, 243005, India（巴里利学院数学系，巴里利（MJP罗希兰德大学），乌塔尔普拉德什，243005，印度）
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Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA and Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA also with Department of Pediatrics, Harvard Medical School, Boston, MA, USA（波士顿儿童医院胎儿和新生儿神经影像与发育科学中心，哈佛医学院，波士顿，马萨诸塞州02115，美国；波士顿儿童医院新生儿医学科，哈佛医学院，波士顿，马萨诸塞州02115，美国；也与哈佛医学院儿科系，波士顿，马萨诸塞州，美国）
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National Institute of Science Communication and Policy Research, New Delhi, 110012, India（国家科学传播与政策研究所，新德里，110012，印度）
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Department of Mathematics, Indian Institute of Technology Indore, Indore (M.P.)-453552, India（印度理工学院印度尔数学系，印度尔（马哈拉施特拉邦）-453552，印度）
机构
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College of Computer Science and Artificial Intelligence, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University（计算机科学与人工智能学院，上海智能信息处理重点实验室，复旦大学）
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University of Oxford（牛津大学）
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The Hong Kong University of Science and Technology（香港科技大学）
Francesco Di Feola, Ludovica Pompilio, Cecilia Assolito, Valerio Guarrasi, Paolo Soda
机构
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Research Unit of Computer Systems and Bioinformatics, Campus Bio-Medico University of Rome, Rome, Italy（计算机系统与生物信息学研究单位，罗马生物医学大学）
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Department of Diagnostics and Intervention, Radiation Physics, Biomedical Engineering, Umeå University, Sweden（诊断与介入部门，辐射物理，生物医学工程，乌梅大学）
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La Sapienza University of Rome（罗马拉维亚大学）
机构
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Shanghai Jiao Tong University, Shanghai, China（上海交通大学）
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Department of Surgical Oncology and General Surgery, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, The First Hospital of China Medical University, Shenyang, China（外科肿瘤科和普通外科，精准诊断与治疗胃肠肿瘤国家重点实验室，教育部，中国医科大学第一附属医院，沈阳，中国）
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Department of Radiology, The First Hospital of China Medical University, Shenyang, China（放射科，中国医科大学第一附属医院，沈阳，中国）
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Shanghai AI Laboratory, Shanghai, China（上海人工智能实验室，上海，中国）
Vision Transformer for Intracranial Hemorrhage Classification in CT Scans Using an Entropy-Aware Fuzzy Integral Strategy for Adaptive Scan-Level Decision Fusion
机构
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School of Electrical and Computer Engineering, College of Engineering, University of Tehran（塔里斯坦大学电气与计算机工程学院）
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Department of Computer Science and Engineering, Sejong University（世宗大学计算机科学与工程系）
DAUNet: A Lightweight UNet Variant with Deformable Convolutions and Parameter-Free Attention for Medical Image Segmentation
DAUNet: 一种轻量级UNet变体，结合可变形卷积和无参数注意力机制用于医学图像分割
Adnan Munir, Muhammad Shahid Jabbar, Shujaat Khan
机构
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Department of Electrical Engineering (ISY), Information Coding (ICG), Linköping University（电气工程系（ISY）、信息编码系（ICG）、利厄普大学）
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SDAIA-KFUPM Joint Research Center for Artificial Intelligence, King Fahd University of Petroleum & Minerals（SDAIA-KFUPM人工智能联合研究中心、国王法赫德石油大学）
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Department of Computer Engineering, College of Computing and Mathematics, King Fahd University of Petroleum & Minerals（计算机工程系、计算与数学学院、国王法赫德石油大学）
Partial Decoder Attention Network with Contour-weighted Loss Function for Data-Imbalance Medical Image Segmentation
具有轮廓加权损失函数的部分解码器网络用于数据不平衡医学图像分割
Zhengyong Huang, Ning Jiang, Xingwen Sun, Lihua Zhang, Peng Chen, Jens Domke, Yao Sui
机构
*
Institute of Medical Technology, Peking University Health Science Center, Peking University, Beijing, China（北京大学医学部医学技术研究所）
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National Institute of Health Data Science, Peking University, Beijing, China（北京大学国家健康数据科学研究院）
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Department of Radiology, Peking University Third Hospital, Beijing, China（北京大学第三医院放射科）
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RIKEN Center for Computational Science (R-CCS), Kobe, Japan（日本京都大学RIKEN计算科学中心）
；
National Institute of Health Data Science, Peking University, the Institute of Medical Technology, Peking University Health Science Center, and the Institute for Artificial Intelligence, Peking University, Beijing, China（北京大学国家健康数据科学研究院、北京大学医学部医学技术研究所以及北京大学人工智能研究所）
机构
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Department of Computer Science and Engineering, United International University（计算机科学与工程系，国际大学）
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Faculty of Science and Technology, Charles Darwin University（科学与技术学院，查尔斯达尔文大学）
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Faculty of Science and Information Technology, Charles Darwin University（科学与信息技术学院，查尔斯达尔文大学）
Exploiting Test-Time Augmentation in Federated Learning for Brain Tumor MRI Classification
在联邦学习中利用测试时增强进行脑肿瘤MRI分类
Thamara Leandra de Deus Melo, Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira, André Ricardo Backes
机构
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Institute of Exact and Technological Sciences, Federal University of Viçosa - UFV, Rio Paranaíba-MG, Brazil（精确与技术科学研究所，弗拉维亚联邦大学-UFV，里奥帕拉纳伊巴-MG，巴西）
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Department of Computing, Federal University of São Carlos, São Carlos-SP, Brazil（计算系，萨o卡洛斯联邦大学，萨o卡洛斯-SP，巴西）
Interpretability and Individuality in Knee MRI: Patient-Specific Radiomic Fingerprint with Reconstructed Healthy Personas
膝关节MRI的可解释性与个体性：基于重建健康人格的患者特定放射组学指纹
Yaxi Chen, Simin Ni, Shuai Li, Shaheer U. Saeed, Aleksandra Ivanova, Rikin Hargunani, Jie Huang, Chaozong Liu, Yipeng Hu
机构
*
organization= Department of Mechanical Engineering, University College London , city= London , country= UK
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organization= Hawkes Institute, University College London , city= London , country= UK
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organization= Institute of Orthopaedic \& Musculoskeletal Science, University College London, Royal National Orthopaedic Hospital , city= Stanmore , country= UK
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organization= Royal National Orthopaedic Hospital , city= Stanmore , country= UK
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organization= School of Engineering
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Materials Science, Queen Mary University of London , city= London , country= UK
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organization= Centre for Bioengineering, Queen Mary University of London , city= London , country= UK
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organization= Department of Medical Physics
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Biomedical Engineering, University College London , city= London , country= UK
