no code implementations • 24 Oct 2020 • Dor Amran, Maayan Frid-Adar, Nimrod Sagie, Jannette Nassar, Asher Kabakovitch, Hayit Greenspan
The outbreak of COVID-19 has lead to a global effort to decelerate the pandemic spread.
no code implementations • 4 Aug 2020 • Rula Amer, Maayan Frid-Adar, Ophir Gozes, Jannette Nassar, Hayit Greenspan
In this work, we estimate the severity of pneumonia in COVID-19 patients and conduct a longitudinal study of disease progression.
no code implementations • 6 Apr 2020 • Ophir Gozes, Maayan Frid-Adar, Nimrod Sagie, Huangqi Zhang, Wenbin Ji, Hayit Greenspan
The outbreak of the novel coronavirus, officially declared a global pandemic, has a severe impact on our daily lives.
no code implementations • 10 Mar 2020 • Ophir Gozes, Maayan Frid-Adar, Hayit Greenspan, Patrick D. Browning, Huangqi Zhang, Wenbin Ji, Adam Bernheim, Eliot Siegel
We conducted multiple retrospective experiments to analyze the performance of the system in the detection of suspected COVID-19 thoracic CT features and to evaluate evolution of the disease in each patient over time using a 3D volume review, generating a Corona score.
no code implementations • 20 Aug 2019 • Maayan Frid-Adar, Rula Amer, Hayit Greenspan
Chest radiographs are frequently used to verify the correct intubation of patients in the emergency room.
no code implementations • 4 Oct 2018 • Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer, Hayit Greenspan
Accurate segmentation of anatomical structures in chest radiographs is essential for many computer-aided diagnosis tasks.
no code implementations • 3 Mar 2018 • Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
Then we present a novel scheme for liver lesion classification using CNN.
no code implementations • 8 Jan 2018 • Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
In this paper, we present a data augmentation method that generates synthetic medical images using Generative Adversarial Networks (GANs).
no code implementations • 19 Jul 2017 • Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
Automatic detection of liver lesions in CT images poses a great challenge for researchers.