Ali Gholipour

TL;DR: A generalized loss function based on the Tversky index is proposed to address the issue of data imbalance and achieve much better trade-off between precision and recall in training 3D fully convolutional deep neural networks.

TL;DR: A novel technique based on a slice acquisition model, which enables the reconstruction of a volumetric image from multiple-scan slice acquisitions and a robust M-estimation solution which minimizes a robust error norm function between the model-generated slices and the acquired slices are developed.

TL;DR: An overview of brain functional localization is provided along with a survey and classification of the image registration techniques related to this problem to establish a fully automatic functional localization procedure.

TL;DR: In this article, a review of the state-of-the-art in handling label noise in deep learning for medical image analysis is presented, where the authors conducted experiments with three medical imaging datasets with different types of label noise, where they investigated several existing strategies and developed new methods to combat the negative effect of labels.

TL;DR: In the HLHS fetus, local cortical folding delays were detected as early as 25 weeks and appear to precede volumetric brain growth disturbances, which may be an early marker of elevated risk for third trimester brain growth failure.