Yaqub, M.[Mohammad]
* 2011: Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image Segmentation
* 2011: Learning Optical Flow Propagation Strategies Using Random Forests for Fast Segmentation in Dynamic 2D and 3D Echocardiography
* 2012: Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints for Segmentation of 3D Echocardiograms with Random Forests
* 2013: Class-Specific Regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography
* 2014: Constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation, A
* 2014: Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge
* 2014: Investigation of the Role of Feature Selection and Weighted Voting in Random Forests for 3-D Volumetric Segmentation
* 2016: Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment
* 2018: Flower classification using deep convolutional neural networks
* 2020: High-Resolution Global Map of Giant Kelp (Macrocystis pyrifera) Forests and Intertidal Green Algae (Ulvophyceae) with Sentinel-2 Imagery, A
* 2023: Contextual information extraction in brain tumour segmentation
* 2023: Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer
Includes: Yaqub, M.[Mohammad] Yaqub, M. Yaqub, M.[Muhammad]
12 for Yaqub, M.
Yaqub, M.A.
* 2018: DIFS: Distributed Interest Forwarder Selection in Vehicular Named Data Networks
Yaqub, T.[Tahir]
* 2006: Line Segment Based Scan Matching for Concurrent Mapping and Localization of a Mobile Robot
Yaqub, W.
* 2018: Towards Camera Identification from Cropped Query Images