Ear recognition as a biometric modality is becoming increasingly popular, with promising broader application areas. While current applications involve adults, one of the challenges in ear recognition for children is the rapid structural changes in the ear as they age. This work introduces a foundational longitudinal dataset collected from children aged 4 to 14 years over a 2.5-year period and evaluates ear recognition performance in this demographic. We present a deep learning based approach for ear recognition, using an ensemble of VGG16 and MobileNet, focusing on both adult and child datasets, with an emphasis on longitudinal evaluation for children.
Longitudinal Retinal Vascular Remodeling in Myopic Children Treated with Orthokeratology or Defocus Lenses: A Two-Year Comparative Study
Tongji Hospital, School of Medicine, Tongji University（同济大学医学院同济医院）；TUM University Hospital Rechts der Isar, Technische Universität München（慕尼黑工业大学伊萨尔河右岸大学医院）；Yangpu Hospital, School of Medicine, Tongji University（同济大学医学院杨浦医院）；Shanghai Demu Youmei Ophthalmology Outpatient Department Co., Ltd.（上海德目优视眼科门诊有限公司）；Zhongshan Ophthalmic Center, Sun Yat-sen University（中山大学中山眼科中心）；University of Alberta（阿尔伯塔大学）
Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data
Beijing Tongren Hospital, Capital Medical University（首都医科大学附属北京同仁医院）；School of Instrumentation and Optoelectronic Engineering, Beihang University（北京航空航天大学仪器科学与光电工程学院）；School of Mechanical Engineering, Beihang University（北京航空航天大学机械工程学院）；University of Cambridge（剑桥大学）；University College London（伦敦大学学院）；The Chinese University of Hong Kong（香港中文大学）；Thorough Future Inc.（透景未来科技有限公司）；King Abdullah University of Science and Technology（阿卜杜拉国王科技大学）
Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning
Centrum Wiskunde & Informatica（荷兰数学与计算机科学研究中心）；University of Trieste（的里雅斯特大学）；Leiden University Medical Center（莱顿大学医学中心）；Delft University of Technology（代尔夫特理工大学）
Deep Learning Based Approach to Enhanced Recognition of Emotions and Behavioral Patterns of Autistic Children
Department of Information Technology（信息科技系）；Sri Lanka Institute of Information Technology（斯里兰卡信息科技研究所）；Department of Computer Systems Engineering（计算机系统工程系）
Screening Autism Spectrum Disorder in children using Deep Learning Approach : Evaluating the classification model of YOLOv26s by comparing with other models
Coventry University（考文垂大学）；University of Memphis（孟菲斯大学）；University of Massachusetts Boston（马萨诸塞大学波士顿分校）；University of Nevada Las vegas（内华达大学拉斯维加斯分校）；Softwarica College（索夫瓦里卡学院）；GEICO（盖可保险公司）；Growphase Technology（格罗法斯科技）；University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校）；Curry College（库里学院）
A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network
Children’s Hospital of Philadelphia（费城儿童医院）；Perelman School of Medicine, University of Pennsylvania（宾夕法尼亚大学佩雷尔曼医学院）；National Cancer Institute（美国国家癌症研究所）；Children's National Hospital（儿童国家医院）；Sheikh Zayed Institute for Pediatric Surgical Innovation（谢赫扎耶德儿科外科创新研究院）
