The following is a list of some of the publications that have used and cited the MedicMind AI Platform:

A comparative evaluation of deep learning approaches for ophthalmology

"Linde, G., Rodrigues de Souza Jr, W., Chalakkal, R., Danesh-Meyer, H. V., O’Keeffe, B., & Chiong Hong, S. (2024). A comparative evaluation of deep learning approaches for ophthalmology. Scientific Reports, 14(1), 21829."

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Code-free deep learning for multi-modality medical image classification

"Edward Korot, Zeyu Guan, Daniel Ferraz, Siegfried K. Wagner, Gongyu Zhang, Xiaoxuan Liu, Livia Faes, Nikolas Pontikos, Samuel G. Finlayson, Hagar Khalid, Gabriella Moraes, Konstantinos Balaskas, Alastair K. Denniston & Pearse A. Kean (2021) Code-free deep learning for multi-modality medical image classification.  Nature Machine Intelligence volume 3, pages 288–298 "

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Automatic Refractive Error Estimation Using Deep Learning-Based Analysis of Red Reflex Images

"Glenn Linde  , Renoh Chalakkal , Lydia Zhou , Joanna Lou Huang , Ben O’Keeffe , Dhaivat Shah , Scott Davidson  and Sheng Chiong Hong (2023)  Automatic Refractive Error Estimation Using Deep Learning-Based Analysis of Red Reflex Images . Diagnostics 2023, 13(17), 2810"

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Deep Learning Algorithm for Automated Diagnosis of Retinopathy of Prematurity Plus Disease

" Zachary Tan, Samantha Simkin, Connie Lai, Shuan Dai  (2019) Deep Learning Algorithm for Automated Diagnosis of Retinopathy of Prematurity Plus Disease Transl Vis Sci Technol .  2;8(6):23"

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Prediction of causative genes in inherited retinal disorder from fundus photography and autofluorescence imaging using deep learning techniques

" Yu Fujinami-Yokokawa , Hideki Ninomiya , Xiao Liu , Lizhu Yang, Nikolas Pontikos, Kazutoshi Yoshitake , Takeshi Iwata , Yasunori Sato , Takeshi Hashimoto, Kazushige Tsunoda, Hiroaki Miyata , Kaoru Fujinami (2021)  Prediction of causative genes in inherited retinal disorder from fundus photography and autofluorescence imaging using deep learning techniques  The Japan Eye Genetics Study (JEGC) Group"

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