My recent research in the area of Computer Vision for Healthcare

• Cuong Do, Lan Vu, “An investigation of deep learning algorithms applied to automated diagnosis for diabetic retinopathy”. Proceedings Volume 11525, SPIE Future Sensing Technologies; 115251Y (2020)
  https://doi.org/10.1117/12.2579608. SPIE Future Sensing Technologies, Tokyo, Japan, 2020
• Cuong Do, Lan Vu, “Very large multimodal multi-architecture convolutional neural network with bundled transfer learning for automated coronavirus diagnosis”, Proceedings Volume 11543, Artificial Intelligence and Machine Learning in Defense Applications II; 115430R (2020) https://doi.org/10.1117/12.2582626. SPIE Security + Defense, 2020
• Cuong Do and Lan Vu, “An approach for recognizing COVID-19 cases using convolutional neural networks applied to CT scan images”. Proceedings Volume 11510, Applications of Digital Image Processing XLIII; 1151034 (2020)
  https://doi.org/10.1117/12.2576276. SPIE Optical Engineering + Applications, San Diego, CA, 2020
• Cuong Do and Lan Vu, “Application of deep learning model (DeepCOVID-19) for detecting COVID-19 cases using chest x-ray images”. Proceedings Volume 11511, Applications of Machine Learning 2020; 1151112 (2020)
  https://doi.org/10.1117/12.2575919. SPIE Optical Engineering + Applications, San Diego, CA, 2020
• Cuong Do, Lan Vu, Cory Wang, Trung Duong, “Convolutional Neural Network for lung diagnosis: A study of COVID-19 cases using chest X-ray and CT images”, Journal of Medical Imaging, to be submitted.
• Cuong Do, Lan Vu, Cory Wang, Trung Duong, “A study of recommender systems for healthcare patients”, Journal of Data Science & Artificial Intelligence, to be submitted.

Additionally, an IOS app was developed (using VGG16 as shown in the paper). Users can run this app on the phone and apply an X-ray image for COVID-19 diagnosis.