在本文中，我们探索了许多深度神经网络模型从临床1.5 T MRI生成全脑3 T样MR图像的能力。这些模型包括全卷积网络（FCN）方法和三种最先进的超分辨率解决方案，ESPCN [26]，SRGAN [17]和PRSR [7]。FCN解决方案U-Convert-Net通过类似U-Net的架构执行1. 5 T到3 T切片的映射，并通过多视图集成集成3D邻域信息。模型的优点和缺点，以及相关的评价指标，测量实验和深入讨论。据我们所知，这项研究是第一项评估用于全脑MRI转换的多种深度学习解决方案的工作，也是第一次尝试利用FCN/U-Net结构实现这一目的。
英文摘要：
In this paper, we explore the capabilities of a number of deep neural network models in generating whole-brain 3T-like MR images from clinical 1.5T MRIs. The models include a fully convolutional network (FCN) method and three state-of-the-art super-resolution solutions, ESPCN [26], SRGAN [17] and PRSR [7]. The FCN solution, U-Convert-Net, carries out mapping of 1.5T-to-3T slices through a U-Net-like architecture, with 3D neighborhood information integrated through a multi-view ensemble. The pros and cons of the models, as well the associated evaluation metrics, are measured with experiments and discussed in depth. To the best of our knowledge, this study is the first work to evaluate multiple deep learning solutions for whole-brain MRI conversion, as well as the first attempt to utilize FCN/U-Net-like structure for this purpose.
Comparative Analysis of GAN and Diffusion for MRI-to-CT translation
Department of Computer Science, University of Copenhagen, Copenhagen, Denmark（哥本哈根大学计算机科学系）；Department of Oncology, Rigshospitalet, Copenhagen, Denmark（哥本哈根医院肿瘤科）
WebMRIQC: A Web-Based Implementation of MRIQC for Accessible MRI Image Quality Assessment in Resource-Constrained Settings
University of Lagos（拉各斯大学）；McGill University（麦吉尔大学）；Jomo Kenyatta University of Agriculture and Technology（乔莫·肯雅塔农业技术大学）；Federal University of Health Sciences, Azare（阿扎雷联邦健康科学大学）；Muhimbili Orthopaedic Institute（穆希比利骨科研究所）；Crestview Radiology Ltd.（克雷斯特维尤放射有限公司）
Comparative Analysis of Image Enhancement Techniques for Brain Tumor Segmentation: Contrast, Histogram, and Hybrid Approaches
AGH University of Krakow（克拉科夫AGH大学）；Universitas Pembangunan Nasional Veteran Yogyakarta（日惹国家发展老兵大学）；Hohai University（河海大学）；Universitas Ahmad Dahlan（艾哈迈德·达赫兰大学）
Robustness and Diagnostic Performance of Super-Resolution Fetal Brain MRI
Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia（卢布尔雅那大学医学学院）；University Medical Centre Ljubljana, Ljubljana, Slovenia（卢布尔雅那大学医学中心）；Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia（卢布尔雅那大学电气工程学院）
Comparative Study of Probabilistic Atlas and Deep Learning Approaches for Automatic Brain Tissue Segmentation from MRI Using N4 Bias Field Correction and Anisotropic Diffusion Pre-processing Techniques
University of Girona（赫罗纳大学）；University of Burgundy（勃艮第大学）；University of Cassino and Southern Lazio（卡西诺和南拉齐奥大学）
Comparative Evaluation of Transfer Learning for Classification of Brain Tumor Using MRI
Florida Institute of Technology（佛罗里达理工学院）；Daffodil International University（达福德国际大学）；University of North Texas（北德克萨斯大学）；The University of Alabama at Birmingham（阿拉巴马大学伯明翰分校）
MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting
Department of Radiation Oncology and Winship Cancer Institute, Emory University（放射肿瘤科和Winship癌症研究所，埃默里大学）；Department of Radiology, Mayo Clinic（放射科，梅奥诊所）
Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy
Sharif University of Technology（谢里夫理工大学）；Institute for AI in Medicine (IKIM), University Medicine Essen（埃森大学医学中心人工智能医学研究所）；Center Algoritmi / LASI, University of Minho（米尼奥大学Algoritmi中心/LASI）；University Hospital RWTH Aachen（亚琛工业大学附属医院）；Cancer Research Center Cologne Essen (CCCE), University Medicine Essen (AöR)（埃森大学医学中心（公法团体）科隆埃森癌症研究中心）；German Cancer Consortium (DKTK), Partner Site Essen（德国癌症联盟埃森合作站点）；TU Dortmund University（多特蒙德工业大学）
Bridging Single Distortion Artifacts and Multifactorial Clinical Quality: Few-shot Biparametric MRI Quality Assessment via Distortion-trained Prototypical Networks
UCL Hawkes Institute（UCL Hawkes研究所）；Department of Medical Physics and Biomedical Engineering（医学物理与生物医学工程系）；University College London（伦敦大学学院）；Division of Surgery and Interventional Science（外科与介入科学分会）；Centre for Medical Imaging（医学成像中心）；British Urology Researchers in Surgical Training (BURST)（英国泌尿外科手术培训研究人员（BURST））；Department of Radiology（放射科）；University College London Hospitals NHS Foundation Trust（伦敦大学学院医院国家健康服务信托基金）；Centre of Medical Imaging, Division of Medicine（医学成像中心，医学分会）；Centre for Medical Image Computing（医学图像计算中心）；Department of Computer Science（计算机科学系）；Department of Urology（泌尿科）
Comparative Validation of AI and non-AI Methods in MRI Volumetry to Diagnose Parkinsonian Syndromes
Samsung Medical Center（三星医疗中心）；Sungkyunkwan University School of Medicine（成均馆大学医学院）；Sungkyunkwan University（成均馆大学）；Columbia University（哥伦比亚大学）；University of Maryland（马里兰大学）
Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease
Simon Fraser University（西蒙弗雷泽大学）；Wake Forest University（维克森林大学）；University of British Columbia（不列颠哥伦比亚大学）；Ohio State University Wexner Medical Center（俄亥俄州立大学韦克斯纳医学中心）；University of Miami Miller School of Medicine（迈阿密大学米勒医学院）；University of Nottingham（诺丁汉大学）
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives
Imperial College London（伦敦帝国理工学院）；Royal Brompton Hospital（皇家布朗普顿医院）；Yantai University（烟台大学）；University of Cambridge（剑桥大学）；Beijing Institute of Technology（北京理工大学）
2D and 3D Deep Learning Models for MRI-based Parkinson's Disease Classification: A Comparative Analysis of Convolutional Kolmogorov-Arnold Networks, Convolutional Neural Networks, and Graph Convolutional Networks
University of Oxford（牛津大学）；King’s College London（伦敦国王学院）；Guy’s and St Thomas’ NHS Foundation Trust（盖伊和圣托马斯国民保健服务基金会信托）
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease
Erasmus MC（伊拉斯谟医学中心）；Maastricht University Medical Center（马斯特里赫特大学医学中心）；University Medical Center Groningen（格罗宁根大学医学中心）；University Medical Center Utrecht（乌得勒支大学医学中心）；Radboud University Medical Center（拉德堡德大学医学中心）；Leiden University Medical Center（莱顿大学医学中心）；Leiden University（莱顿大学）
Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations
University of Calgary（卡尔加里大学）；Hotchkiss Brain Institute, University of Calgary（卡尔加里大学霍奇基斯脑研究所）；Foothills Medical Center（山麓医学中心）；Radboud University Medical Center（拉德堡德大学医学中心）；Netherlands Cancer Institute（荷兰癌症研究所）；University of Amsterdam（阿姆斯特丹大学）；Amsterdam UMC（阿姆斯特丹大学医学中心）；University of Campinas（坎皮纳斯大学）
Placenta Accreta Spectrum Detection using Multimodal Deep Learning
Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University（计算机科学系，计算与信息科技学院，国王阿卜杜勒阿齐兹大学）；Department of Radiology, King Abdulaziz University Hospital（放射科，国王阿卜杜勒阿齐兹大学医院）
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification
School of Software Engineering, Beijing University of Technology（北京工业大学软件学院）；Beijing Neurosurgical Institute（北京神经外科研究所）；Beijing Tiantan Hospital, Capital Medical University（首都医科大学附属北京天坛医院）；Sorbonne Université（索邦大学）；Institut du Cerveau – Paris Brain Institute - ICM（巴黎脑研究所（ICM））；CNRS（法国国家科学研究中心）；Inria（法国国家信息与自动化研究所）；Inserm（法国国家健康与医学研究院）；AP-HP（巴黎公共医疗集团）；Hôpital de la Pitié-Salpêtrière（皮蒂-萨尔皮特里耶医院）
sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI
Manchester Metropolitan University（曼彻斯特城市大学）；Brunel University（布鲁内尔大学）；University of Sheffield（谢菲尔德大学）；Nanjing University of Aeronautics and Astronautics（南京航空航天大学）
Longitudinal MRI template of the baboon brain from birth to adolescence
Institute for Language, Cognition, and the Brain, CNRS, Aix-Marseille Université（语言、认知与大脑研究所，法国国家科学研究中心，艾克斯-马赛大学）；Centre de Recherche en Psychologie et Neurosciences, UMR 7077, CNRS, Aix-Marseille Université（心理与神经科学研究中心，UMR 7077，法国国家科学研究中心，艾克斯-马赛大学）；Institut de Neurosciences de la Timone, UMR 7289 CNRS, Aix-Marseille Université（蒂莫纳神经科学研究所，UMR 7289 法国国家科学研究中心，艾克斯-马赛大学）；Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences（人类认知与脑科学研究所神经心理学系）；INRAE, CNRS, Université de Tours, PRC（法国国家农业食品与环境研究院，法国国家科学研究中心，图尔大学，PRC）；Department of Psychology, National University of Singapore（新加坡国立大学心理学系）；Station de Primatologie, CNRS-CELPHEDIA UAR846（灵长类动物研究站，CNRS-CELPHEDIA UAR846）
OkanNet: A Lightweight Deep Learning Architecture for Classification of Brain Tumor from MRI Images
Graduate School of Natural；Applied Sciences Department of Computer Engineering Ege University Izmir, Turkey；International Computer Institute Ege University Izmir, Turkey
Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg（生物医学工程人工智能系，埃尔朗根-纽伦堡弗里德里希-亚历山大大学）；Department of Biomedical Engineering, The Ohio State University（生物医学工程系，俄亥俄州立大学）；Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG（研究与临床转化，磁共振，西门子医疗有限公司）；Division of Cardiovascular Medicine, The Ohio State University（心血管医学系，俄亥俄州立大学）
Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study
University of Dhaka（达卡大学）；Utah State University（犹他州立大学）；Noakhali Science and Technology University（诺阿卡利科学技术大学）；Daffodil International University（水仙花国际大学）
Labeling subtypes in a Parkinson's Cohort using Multifeatures in MRI -- Integrating Grey and White Matter Information
Indian Institute of Technology Guwahati（印度理工学院古瓦哈提分校）；National Institute of Mental Health and Neurosciences（国家心理健康与神经科学研究所）；National Institute of Mental Health & Neuro Sciences（国家心理健康与神经科学研究所）；Jyoti and Bhupat Mehta School of Health Sciences and Technology, Indian Institute of Technology Guwahati（乔蒂与布帕特·梅塔健康科学与技术学院，印度理工学院古瓦哈提分校）
TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs
State University of New York at Stony Brook（纽约州立大学石溪分校）；Newark Beth Israel Medical Center（纽瓦克贝斯以色列医疗中心）；Columbia University Irving Medical Center（哥伦比亚大学欧文医疗中心）；Emory University School of Medicine（埃默里大学医学院）；Georgia Institute of Technology（佐治亚理工学院）
Leveraging Video Vision Transformer for Alzheimer's Disease Diagnosis from 3D Brain MRI
Louisiana State University Health Sciences Center at Shreveport（路易斯安那州立大学什里夫波特健康科学中心）；Center for Brain Health, Louisiana State University Health Sciences Center at Shreveport（路易斯安那州立大学什里夫波特健康科学中心脑健康中心）；Department of Artificial Intelligence Engineering, Trabzon（特拉布宗人工智能工程系）
Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa
Institute of Mathematical Science, Strathmore University（斯特拉斯莫尔大学数学科学学院）；Faculty of Science and Engineering, University of Hull（赫尔大学科学与工程学院）；Technical University of Mombasa（蒙巴萨理工大学）；Lawson Health Research Institute（劳森健康研究所）；University of British Columbia（不列颠哥伦比亚大学）；University of Nairobi（内罗毕大学）；University of Cape Town（开普敦大学）；Montreal Neurological Institute, McGill University（麦吉尔大学蒙特利尔神经学研究所）；Brain Mind Institute, The Aga Khan University（阿迦汗大学脑与心智研究所）；Medical Physics Unit, McGill University（麦吉尔大学医学物理部门）
Deep Learning-based Intraoperative MRI Reconstruction
Oslo University Hospital（奥斯陆大学医院）；University of Oslo（奥斯陆大学）；University of South-Eastern Norway（挪威东南大学）；NTNU（挪威科技大学）；Vestfold Hospital Trust（维斯特福德医院信托）；Amsterdam UMC, University of Amsterdam（阿姆斯特丹大学医学中心，阿姆斯特丹大学）
