1 code implementation • 15 Feb 2023 • Ruben T. Lucassen, Mohammad H. Jafari, Nicole M. Duggan, Nick Jowkar, Alireza Mehrtash, Chanel Fischetti, Denie Bernier, Kira Prentice, Erik P. Duhaime, Mike Jin, Purang Abolmaesumi, Friso G. Heslinga, Mitko Veta, Maria A. Duran-Mendicuti, Sarah Frisken, Paul B. Shyn, Alexandra J. Golby, Edward Boyer, William M. Wells, Andrew J. Goldsmith, Tina Kapur
B-line artifacts in LUS videos are key findings associated with pulmonary congestion.
no code implementations • 2 Feb 2021 • Mohammad H. Jafari, Christina Luong, Michael Tsang, Ang Nan Gu, Nathan Van Woudenberg, Robert Rohling, Teresa Tsang, Purang Abolmaesumi
We tackle a specifically challenging problem, where training labels are noisy and highly sparse.
1 code implementation • 5 Dec 2019 • Amir H. Abdi, Mohammad H. Jafari, Sidney Fels, Theresa Tsang, Purang Abolmaesumi
The size and length of the left ventricle in the generated target echo view is compared against that of the target ground-truth to assess the validity of the echo view conversion.
1 code implementation • 29 Dec 2017 • Ebrahim Nasr-Esfahani, Shima Rafiei, Mohammad H. Jafari, Nader Karimi, James S. Wrobel, S. M. Reza Soroushmehr, Shadrokh Samavi, Kayvan Najarian
One of the essential tasks in medical image analysis is segmentation and accurate detection of borders.
no code implementations • 8 Sep 2016 • Mohammad H. Jafari, Ebrahim Nasr-Esfahani, Nader Karimi, S. M. Reza Soroushmehr, Shadrokh Samavi, Kayvan Najarian
The input image is preprocessed and then its patches are fed to a convolutional neural network (CNN).