Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound

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.

Line Detection

U-LanD: Uncertainty-Driven Video Landmark Detection

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.

A Study into Echocardiography View Conversion

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.

Dense Pooling layers in Fully Convolutional Network for Skin Lesion Segmentation

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.

Lesion Segmentation Segmentation +1

Extraction of Skin Lesions from Non-Dermoscopic Images Using Deep Learning

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).

Segmentation