Ibrahem Kandel

  • Monday, 27 July 2020 14:44

ibrahem-kandel

Identification

Ibrahem Kandel, Ph.D. Student of Information Management
with a specialization in Data Science

Contacts

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Biography

Ibrahem Kandel is a Ph.D. Student of Information Management with a specialization in data science. He has a master's degree from Nova IMS in statistics and information management and a bachelor degree in biomedical engineering from Cairo, Egypt. He possesses vast experience in data science consulting in the financial industry and the medical field. His current research interests include artificial intelligence (in particular, convolutional neural networks) and the application of deep learning techniques to solve complex real-life problems, especially in the fields of computer vision.

Publications

Book Section

  • Transfer Learning with Convolutional Neural Networks for Diabetic Retinopathy Image Classification. A Review Kandel, I.; Castelli, M. Transfer Learning with Convolutional Neural Networks for Diabetic Retinopathy Image Classification. A Review. Appl. Sci. 2020, 10, 2021. https://doi.org/10.3390/app10062021
  • How Deeply to Fine-Tune a Convolutional Neural Network: A Case Study Using a Histopathology Dataset Kandel, I.; Castelli, M. How Deeply to Fine-Tune a Convolutional Neural Network: A Case Study Using a Histopathology Dataset. Appl. Sci. 2020, 10, 3359.https://doi.org/10.3390/app10103359
  • A Novel Architecture to Classify Histopathology Images Using Convolutional Neural Networks Kandel, I.; Castelli, M. A Novel Architecture to Classify Histopathology Images Using Convolutional Neural Networks. Appl. Sci. 2020, 10, 2929. https://doi.org/10.3390/app10082929
  • The effect of batch size on the generalizability of the convolutional neural networks on a histopathology dataset I. Kandel and M. Castelli, “The effect of batch size on the generalizability of the convolutional neural networks on a histopathology dataset,” ICT Express, 2020. https://doi.org/10.1016/j.icte.2020.04.010
Joana Lino
Written by 
Rate this item
(0 votes)
Read 239 times Last modified on Monday, 27 July 2020 14:57