no code implementations • 26 Jul 2021 • Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan
We developed a weakly supervised deep learning algorithm, with an emphasis on a novel attention mechanism, to automatically classify RV strain on CTPA.
no code implementations • 23 Sep 2020 • Gavriel Habib, Nahum Kiryati, Miri Sklair-Levy, Anat Shalmon, Osnat Halshtok Neiman, Renata Faermann Weidenfeld, Yael Yagil, Eli Konen, Arnaldo Mayer
Mammography and ultrasound are extensively used by radiologists as complementary modalities to achieve better performance in breast cancer diagnosis.
no code implementations • 6 Jul 2020 • Chen-Han Tsai, Nahum Kiryati, Eli Konen, Miri Sklair-Levy, Arnaldo Mayer
Medical reports are an essential medium in recording a patient's condition throughout a clinical trial.
1 code implementation • MIDL 2019 • Chen-Han Tsai, Nahum Kiryati, Eli Konen, Iris Eshed, Arnaldo Mayer
The proposed method is validated quantitatively and qualitatively, and compares favorably against state-of-the-art MRNet while using a single imaging stack (axial or coronal) as input.
no code implementations • 21 Feb 2018 • Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan
Quantitative evaluation was conducted using an existing lesion detection software, combining the synthesized PET as a false positive reduction layer for the detection of malignant lesions in the liver.