F
Fang-Lu Chi
Researcher at Fudan University
Publications - 68
Citations - 748
Fang-Lu Chi is an academic researcher from Fudan University. The author has contributed to research in topics: Hair cell & Inner ear. The author has an hindex of 15, co-authored 67 publications receiving 615 citations.
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Journal ArticleDOI
Survival outcomes in surgical treatment of 72 cases of squamous cell carcinoma of the temporal bone.
TL;DR: An en bloc resection is favored in an effort to produce negative surgical margins for squamous cell carcinoma of the temporal bone through adjunctive radiotherapy for advanced lesions.
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Evidence‐based surgical management of T1 or T2 temporal bone malignancies
TL;DR: To determine whether aggressive surgical management is more effective than local canal resection (LCR) for early‐stage temporal bone malignancies, a large number of patients with temporal bone cancer are treated with aggressive surgery.
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Variety of audiologic manifestations in patients with superior semicircular canal dehiscence.
TL;DR: No correlation was observed between the size of dehiscence and the severity of vestibular symptoms or the degree of hearing loss, and SSCD demonstrates diverse and complex clinical features.
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Ectopic hair cell-like cell induction by Math1 mainly involves direct transdifferentiation in neonatal mammalian cochlea
TL;DR: In conclusion, Math1 induced hair cell-like cells from LER cells mainly underwent direct trans-differentiation instead of mitosis of Ler cells or newly hair cell -like cells.
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Deep Learning in Automated Region Proposal and Diagnosis of Chronic Otitis Media Based on Computed Tomography.
Yanmei Wang,Yike Li,Yu-Shu Cheng,Zi-Yu He,Juan-Mei Yang,Jiang-Hong Xu,Zhang-Cai Chi,Fang-Lu Chi,Dong-Dong Ren +8 more
TL;DR: A deep-learning framework that automatically extracted the region of interest from two-dimensional temporal bone CT slices and made diagnosis of chronic otitis media based on CT images implied a promising prospect for clinical application of artificial intelligence in the diagnosis of COM based onCT images.