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Alejandro F Frangi on Muck Rack

Alejandro F Frangi

As seen in: Nature, Wiley Online Library, The BMJ, Flipboard, The Astronomical Journal, Med-Tech Innovation
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Articles

Artificial intelligence for detecting fetal orofacial clefts and advancing medical education

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By Yuhao Huang, Haoran Dou, Xiliang Zhu, Chen Ling, Zhong Yang, Rui Li, Yan Cao, Yuhan Zhang, Jiewei Lai, Yongsong Zhou, Hongyu Zheng, Xinru Gao, Cheng Yu, Mengqin Yuan, Honglong Li, Xiaoqiong Huang, Chaoyu Chen, Jialin Zhang, Alejandro F Frangi, Guangzhi He, Xin Yang, Yi Xiong, Linliang Yin, Dong Ni, Yuanji Zhang, Lianying Liang, Jiuping Li, Siying Liang, Wenxiong Pan, Xuedong Deng
| Nature Verified
Abstract Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prenatal detection remains challenging due to the scarcity of experienced specialists and the relative rarity of the condition. Early and reliable diagnosis is essential to enable timely clinical intervention and reduce associated morbidity.
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Angiography-free diagnosis of retinal diseases via interpretable multi-modal learning

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By Jinkui Hao, Wenlong Li, Hong Qi, Yalin Zheng, Huazhu Fu, Alejandro F Frangi, Yitian Zhao
| Nature Verified
Abstract Accurate diagnosis of retinal diseases often depends on fluorescein fundus angiography (FFA), an invasive imaging modality requiring intravenous dye injection. Although color fundus photography (CFP) offers a safer and more accessible alternative, it lacks the vascular detail necessary for high-precision diagnosis, creating a critical gap in clinical workflows when angiography is unavailable or contraindicated.
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Computer Science > Machine Learning

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By Alejandro F Frangi, Anirbit Mukherjee, Dibyakanti Kumar
| arxiv.org
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