Head Non-contrast computed tomography (NCCT) scan remain the preferred primary imaging modality due to their widespread availability and speed. However, the current standard for manual annotations of abnormal brain tissue on head NCCT scans involves significant disadvantages like lack of cutoff standardization and degeneration identification. The recent advancement of deep learning-based computer-aided diagnostic (CAD) models in the multidisciplinary domain has created vast opportunities in neurological medical imaging. Significant literature has been published earlier in the automated identification of brain tissue on different imaging modalities. However, determining Intracranial hemorrhage (ICH) and infarct can be challenging due to image texture, volume size, and scan quality variability. This retrospective validation study evaluated a DL-based algorithm identifying ICH and infarct from head-NCCT scans. The head-NCCT scans dataset was collected consecutively from multiple diagnostic imaging centers across India. The study exhibits the potential and limitations of such DL-based software for introduction in routine workflow in extensive healthcare facilities.
DEEPMIR: A DEEP neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI
University of Pennsylvania（宾夕法尼亚大学）；University of Texas Health Science Center at San Antonio（德克萨斯大学圣安东尼奥健康科学中心）；University of Bern（伯尔尼大学）；Weill Cornell Medical College（威尔康奈尔医学院）；Boston University（波士顿大学）；University of Texas at Austin（德克萨斯大学奥斯汀分校）；University of Washington（华盛顿大学）
EPRA U-Net: An Efficient Pyramid Residual Attention Framework for Accurate Infarct Segmentation in Diffusion-Weighted MRI
Yozgat Bozok University（亚兹加特博兹克大学）；Izmir Bakircay University（伊兹米尔巴克伊大学）；Queen Mary’s Digital Environment Research Institute (DERI)（皇后玛丽数字环境研究 institute (DERI)）；Firat University（费拉特大学）；Qatar University（卡塔尔大学）
Automated Segmentation of Ischemic Stroke Lesions in Non-Contrast Computed Tomography Images for Enhanced Treatment and Prognosis
Kwame Nkrumah University of Science and Technology（库马西科技大学）；Department of Computer Engineering（计算机工程系）；Kumasi Centre for Collaborative Research in Tropical Medicine（库马西热带医学协作研究中心）；Komfo Anokye Teaching Hospital（科莫福·阿诺耶教学医院）
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images
School of Computer Science and Technology, University of Chinese Academy of Sciences（中国科学院大学计算机科学与技术学院）；School of Information Engineering, Sichuan Agricultural University（四川农业大学信息工程学院）
A Deep Learning-Based Unified Framework for Red Lesions Detection on Retinal Fundus Images
Computer and Information Science College, King Saud University（沙特王后大学计算机与信息科学学院）；Department of Ophthalmology, College of Medicine, Princess Nourah bint Abdulrahman University（普里丝特努尔·阿卜杜勒拉赫曼大学医学院眼科系）
An Ensemble Deep Learning Based Approach for Red Lesion Detection in Fundus Images
Pladema Institute, UNCPBA（UNCPBA Pladema研究所）；Scientific Institute of Public Health (WIV-ISP)（公共卫生科学研究所）；Federal Agency for Medicines and Health Products (FAMHP)（联邦药品和健康产品局）；KU Leuven（鲁汶大学）
Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI
Department of Radiology, West China Second University Hospital, Sichuan University（四川大学华西第二医院放射科）；School of Biomedical Engineering, Tsinghua Medicine, Tsinghua University（清华大学医学院生物医学工程系）；Department of Radiology, Sichuan Provincial Woman’s and Children’s Hospital, The Affiliated Women’s and Children’s Hospital of Chengdu Medical College（四川省妇幼保健院放射科，成都医学院附属妇幼医院）；Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China（成都妇女儿童中央医院，电子科技大学医学院）；Department of Radiology, The Third Affiliated Hospital of Zhengzhou University（郑州大学第三附属医院放射科）；Qujing Maternal and Child Health Hospital, Qujing, China（曲靖 maternal and child health hospital, Qujing, China）
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
Technical University of Munich（慕尼黑工业大学）；Klinikum rechts der Isar（右岸医院）；School of Medicine, Technical University of Munich（慕尼黑工业大学医学院）；icometrix（icometrix公司）；University Medical Center Hamburg-Eppendorf（汉堡埃彭多夫大学医学中心）；University of Bern（伯尔尼大学）；ARTORG Center for Biomedical Engineering Research, Univ. of Bern（伯尔尼大学生物医学工程研究ARTORG中心）；University of Southern California（南加州大学）；Chan Division of Occupational Science and Occupational Therapy, University of Southern California（南加州大学陈职业科学与职业治疗系）；TranslaTUM – Central Institute for Translational Cancer Research, Technical University of Munich（慕尼黑工业大学TranslaTUM转化癌症研究中心）
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images
Pattern Recognition and Intelligent System Laboratory, School of Artificial Intelligence, Beijing University of Posts and Telecommunications（北京邮电大学人工智能学院模式识别与智能系统实验室）；Deepwise AI Lab（深度科技人工智能实验室）；Jinling Hospital, Nanjing University School of Medicine（南京大学医学院附属金陵医院）；Department of Computer Science and Technology, Peking University（北京大学计算机科学技术系）；The University of Hong Kong（香港大学）
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial
Warren Alpert Medical School of Brown University（布朗大学沃伦·阿尔珀特医学院）；Emory University School of Medicine（埃默里大学医学院）；University of Florida School of Medicine（佛罗里达大学医学院）；Brown University（布朗大学）
Evaluating the Safety of Deep Learning-Based Brain MRI Reconstruction
School of Science, Engineering & Technology, RMIT University Vietnam（RMIT越南大学科学、工程与技术学院）；School of Computing Technologies, RMIT University（RMIT大学计算技术学院）；School of Health and Biomedical Science, RMIT University（RMIT大学健康与生物医学科学学院）
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images
Sun Yat-sen University（中山大学）；Baidu Inc.（百度公司）；Agency for Science, Technology and Research（新加坡科技研究局）；CONICET（国家科学技术研究委员会）；Medical University of Vienna（维也纳医科大学）；VUNO Inc.（VUNO公司）；Inserm（法国国家健康与医学研究院）；Univ Bretagne Occidentale（西布列塔尼大学）；Zasti（Zasti公司）
Curia: A Multi-Modal Foundation Model for Radiology
Raidium；Hôpital Européen Georges Pompidou, AP-HP（欧洲乔治·蓬皮杜医院, AP-HP）；Université Paris-Cité（巴黎城市大学）；INRIA（法国国家信息与自动化技术研究所）；INSERM（法国国家卫生与医学研究中心）；Beaujon Hospital（贝琼医院）；Medical University of South Carolina（南卡罗来纳医科大学）；Columbia University Irving Medical Center（哥伦比亚大学伊万斯医学中心）；Centre Cardiologique du Nord（北心脑血管中心）
SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation
School of Computer Science and Engineering, Southeast University（东南大学计算机科学与工程学院）；Research Center for Medical Artificial Intelligence, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences（中国科学院深圳先进技术研究院医学人工智能研究中心）；Beijing Tiantan Hospital, Capital Medical University（首都医科大学北京天坛医院）
Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis
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）
Anatomy-Preserving Latent Diffusion for Generation of Brain Segmentation Masks with Ischemic Infarct
Department of Diagnostic Imaging Hospital de la Santa Creu i Sant Pau Barcelona, Spain（诊断影像部门 塞拉·克鲁与圣帕乌医院 巴塞罗那西班牙）；Department of Medical Physics Hospital de la Santa Creu i Sant Pau Barcelona, Spain（医学物理部门 塞拉·克鲁与圣帕乌医院 巴塞罗那西班牙）
ISLES'24: Final Infarct Prediction with Multimodal Imaging and Clinical Data. Where Do We Stand?
Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.；Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.；ARTORG Center for Biomedical Research, University of Bern, Bern, Switzerland.；Department of Radiation Oncology, University Hospital Bern, University of Bern.；Support Center of Advanced Neuroimaging (SCAN), University Institute of Diagnostic；University Institute of Diagnostic；Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.；Department of Neurology, University Hospital of Zurich, Zurich, Switzerland.；University of Zurich, Zurich, Switzerland.；Department of Diagnostic；Interventional Neuroradiology, School of Medicine；Health, TUM Klinikum, Technical University of Munich, Germany.；TranslaTUM, Center for Translational Cancer Research, Technical University of Munich, Germany.；Therapy, School of Medicine；Health, Technical University of Munich, Munich, Germany.；Department of Biomedical Engineering；Physics, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands；Department of Radiology, University of Calgary, Calgary, Canada；Hotchkiss Brain Institute, University of Calgary, Calgary, Canada；Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Canada；Heuron Co., Ltd., Seoul, South Korea；School of Electrical Engineering, Korea University, Seoul, Korea；University of Alberta, Alberta, Canada；Hawkes Institute, Department of Computer Science, University College London, London, United Kingdom；Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom；University of Calgary, Canada；University of Washington, Washington, United States；CREATIS, Universite Claude Bernard Lyon 1, INSA Lyon, UMR CNRS 5220, Inserm U1294, Villeurbanne, France；Department of Neurology, University Hospital Zurich, Zurich, Switzerland
TJDR: A High-Quality Diabetic Retinopathy Pixel-Level Annotation Dataset
Tongji University（同济大学）；Tongji Hospital, School of Medicine, Tongji University（同济大学附属同济医院）；Tongji Eye Institute, School of Medicine, Tongji University（同济大学医学院同济眼科研究所）
Computational Image-based Stroke Assessment for Evaluation of Cerebroprotectants with Longitudinal and Multi-site Preclinical MRI
USC Stevens Neuroimaging and Informatics Institute（南加州大学史蒂文斯神经影像与信息学研究所）；Zilkha Neurogenetic Institute, Keck School of Medicine of USC（南加州大学凯克医学院齐尔卡神经遗传学研究所）；Martinos Center for Biomedical Imaging, Massachusetts General Hospital（麻省总医院马蒂诺斯生物医学成像中心）；Yale University（耶鲁大学）；University of Iowa（爱荷华大学）；Augusta University（奥古斯塔大学）；University of Texas（德克萨斯大学）；Kennedy Krieger Institute, Johns Hopkins University（约翰斯·霍普金斯大学肯尼迪·克里格研究所）
