This is the database for BCRL detection.

The demo code and network’s weights for PICTURE which is accepted in MICCAI 2022 [1]. The zip file contains phantom data, network weights for PICTURE, pre-trained weights, and network model. The network used is MPWC-Net++ [2] which is a modification of irrPWC-Net [3]. If you use this code, please cite the following papers. [1] Tehrani […]

Congrats to Sobhan, Zara, Ashik and Morteza, the first authors of these papers! Sobhan’s paper is on developing a Generative Adversarial Network (GAN) for improving the frame-rate of ultrasound imaging. Zara’s paper is on a novel Dynamic Programming (DP) approach for quantitative ultrasound (qUS). Ashik’s paper is on a novel robust matrix completion algorithm for […]

Mahmoud’s paper on shear-wave ultrasound elastography is accepted in IEEE TUFFC. Nima’s paper on ultrasound to MRI registration is accepted in IJCARS. Congrats to both for these important achievements.

Zara’s paper on quantitative ultrasound (qUS) and Hoda’s paper on ultrasound elastography are accepted for publication, both in IEEE TUFFC! Congrats to you both for this important achievement!

Dr. Rivaz will be an Area Chair in the MICCAI 2018 Conference. He is also co-organizing the Curious challenge as well as the CereVis Workshop at MICCAI. In addition, he is co-organizing the elastography tutorial at IEEE ISBI 2018.

Xiao has won the BrainsCAN post-doctoral fellowship ($110,000 over 2 years) from Western University. Congrats Xiao!!

Xiao got two journal papers accepted in IJCARS and TSR (impact factors 1.86 and 4.50). You can see them here: IJCARS paper and TSR paper. Congrats Xiao!!

Mohamad’s paper on supervised classification of motion estimation in ultrasound elastography is accepted IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control (IEEE TUFFC, impact factor 2.3). You can see his paper here. Congrats!!

Manuscript by Roozbeh and Xiao is accepted in IEEE TMI (IF 6.13). You can see the paper here. Congrats!!