Research Outputs - medicmind

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."

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 "

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"

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"

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"

Automated deep learning in ophthalmology: AI that can build AI

" Ciara O'Byrne , Abdallah Abbas , Edward Korot , Pearse A Keane (2021) Automated deep learning in ophthalmology: AI that can build AI. Curr Opin Ophthalmol "

Performance and Usability of Code-Free Deep Learning for Chest Radiograph Classification, Object Detection, and Segmentation

" Samantha M Santomartino , Nima Hafezi-Nejad , Vishwa S Parekh , Paul H Yi (2023) Performance and Usability of Code-Free Deep Learning for Chest Radiograph Classification, Object Detection, and Segmentation Radiol Artif Intell ."

Code-Free Deep Learning: a step into the future of ophthalmology

"Rohan Misra, Ciara O’Byrne and Pearse Keane (2022) Code-Free Deep Learning: a step into the future of ophthalmology EYE NEWS VOLUME 29 ISSUE 3 OCTOBER/NOVEMBER 2022"

Multicenter Validation of Deep Learning Algorithm ROP.AI for the Automated Diagnosis of Plus Disease in ROP

"Amelia Bai , Shuan Dai , Jacky Hung , Aditi Kirpalani , Heather Russell , James Elder , Shaheen Shah , Christopher Carty, and Zachary Tan (2023) Multicenter Validation of Deep Learning Algorithm ROP.AI for the Automated Diagnosis of Plus Disease in ROP Translational Vision Science & Technology 12(8):13"

Distinct Clinical Effects of Two RP1L1 Hotspots in East Asian Patients With Occult Macular Dystrophy (Miyake Disease): EAOMD Report 4

"Yu Fujinami-Yokokawa , Kwangsic Joo , Xiao Liu , Kazushige Tsunoda , Mineo Kondo , Seong Joon Ahn , Anthony G Robson , Izumi Naka , Jun Ohashi , Hui Li , Lizhu Yang , Gavin Arno , Nikolas Pontikos , Kyu Hyung Park , Michel Michaelides , Hisateru Tachimori , Hiroaki Miyata , Ruifang Sui , Se Joon Woo , Kaoru Fujinami (2024) Distinct Clinical Effects of Two RP1L1 Hotspots in East Asian Patients With Occult Macular Dystrophy (Miyake Disease): EAOMD Report 4 Invest Ophthalmol Vis Sci . 2024 Jan 2;65(1):41"