Our paper "A Study of Shape Modeling Against Noise" has been accepted by ICIP 2022.

Our paper "Training a Steerable CNN for Guidewire Detection" has been accepted in CVPR 2020.

Our paper "Are screening methods useful in feature selection? An empirical study." has been accepted in PLoS One.

Our "Monte Carlo Methods" book is available on Amazon.

Two papers accepted in ICIP 2019:

• O. Akal, A. Barbu. Learning Chan-Vese
• D. Li, A. Barbu. Training a CNN for Guidewire Detection

Our work "Accurate Dictionary Learning with Direct Sparsity Control" has been accepted in ICIP.

Our "Feature Selection with Annealing for Computer Vision and Big Data Learning" has been accepted in IEEE PAMI.