Jure Žbontar

TL;DR: Orange is a machine learning and data mining suite for data analysis through Python scripting and visual programming, which features interactive data analysis and component-based assembly of data mining procedures.

TL;DR: In this paper, the first stage of many stereo algorithms, matching cost computation, is addressed by learning a similarity measure on small image patches using a convolutional neural network, and then a series of post-processing steps follow: cross-based cost aggregation, semiglobal matching, left-right consistency check, subpixel enhancement, a median filter, and a bilateral filter.

TL;DR: In this paper, a convolutional neural network is trained to predict how well two image patches match and use it to compute the stereo matching cost, which is refined by cross-based cost aggregation and semiglobal matching, followed by a left right consistency check to eliminate errors in the occluded regions.

TL;DR: In this paper, the first stage of many stereo algorithms, matching cost computation, is addressed by learning a similarity measure on small image patches using a convolutional neural network, and then a series of post-processing steps follow: cross-based cost aggregation, semiglobal matching, left-right consistency check, subpixel enhancement, a median filter, and a bilateral filter.

TL;DR: In this article , a DL reconstruction model was trained with images from 298 clinical 3-T knee examinations and compared with conventional accelerated MRI for evaluating internal derangement of the knee in a clinical setting.