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- [41] A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patientsBioMedical Engineering OnLine, 22Xiaoshuang RuShilong ZhaoWeidao ChenJiangfen WuRuize YuDawei WangMengxing DongQiong WuDaoyong PengYang Song
- [42] A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patientsBIOMEDICAL ENGINEERING ONLINE, 2023, 22 (01)Ru, XiaoshuangZhao, ShilongChen, WeidaoWu, JiangfenYu, RuizeWang, DaweiDong, MengxingWu, QiongPeng, DaoyongSong, Yang
- [43] The lack of a big picture in tuberculosis: the clinical point of view, the problems of experimental modeling and immunomodulation. The factors we should consider when designing novel treatment strategiesFRONTIERS IN MICROBIOLOGY, 2014, 5Vilaplana, CristinaCardona, Pere-Joan
- [44] Joubert syndrome is a rare autosomal recessive disorder characterized by hyperpnoea and eye movements, hypotonia, ataxia, developmental retardation with neuropathologic abnormalities of cerebellum and brainstem including inherited hypoplasia or aplasia of vermis. Cerebellar vermin anomalies are described in other disorders such as Dandy-Walker and rhombencephalon synapsis. These disorders should be distinguished from Joubert syndrome on the basis of imaging. Comparison with typical imaging and clinical findings may be helpful for appropriate diagnosis.JOURNAL OF FAMILY MEDICINE AND PRIMARY CARE, 2019, 8 (01) : 311 - 312Kumar, PuneethDey, AmitMittal, KartikSharma, RajaramGoyal, AnmolHira, Priya