Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models’ Performance and Robustness

por Sanaat, Amirhossein, Shiri, Isaac, Ferdowsi, Sohrab, Arabi, Hossein, Zaidi, Habib
Publicado 2022

Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study

por Ferdowsi, Sohrab, Knafou, Julien, Borissov, Nikolay, Vicente Alvarez, David, Mishra, Rahul, Amini, Poorya, Teodoro, Douglas
Publicado 2023

Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance

por Haas, Quentin, Borisov, Nikolay, Alvarez, David Vicente, Ferdowsi, Sohrab, von Meyenn, Leonhard, Teodoro, Douglas, Amini, Poorya
Publicado 2021

Information Retrieval in an Infodemic: The Case of COVID-19 Publications

por Teodoro, Douglas, Ferdowsi, Sohrab, Borissov, Nikolay, Kashani, Elham, Vicente Alvarez, David, Copara, Jenny, Gouareb, Racha, Naderi, Nona, Amini, Poorya
Publicado 2021

Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning

por Shiri, Isaac, Vafaei Sadr, Alireza, Akhavan, Azadeh, Salimi, Yazdan, Sanaat, Amirhossein, Amini, Mehdi, Razeghi, Behrooz, Saberi, Abdollah, Arabi, Hossein, Ferdowsi, Sohrab, Voloshynovskiy, Slava, Gündüz, Deniz, Rahmim, Arman, Zaidi, Habib
Publicado 2022