22 results on '"Yaqub, Mohammad"'
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2. SEDA: Self-ensembling ViT with Defensive Distillation and Adversarial Training for Robust Chest X-Rays Classification
3. DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification
4. Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation
5. Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos
6. End-to-End Myocardial Infarction Classification from Echocardiographic Scans
7. GARDNet: Robust Multi-view Network for Glaucoma Classification in Color Fundus Images
8. Contrastive Pretraining for Echocardiography Segmentation with Limited Data
9. Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays
10. Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images
11. Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings
12. Automatic Fetal Gestational Age Estimation from First Trimester Scans
13. Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound
14. Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment
15. Class-Specific Regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography
16. A Constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation
17. Class-Specific Regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography
18. Predicting Fetal Neurodevelopmental Age from Ultrasound Images
19. Volumetric Segmentation of Key Fetal Brain Structures in 3D Ultrasound
20. Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints for Segmentation of 3D Echocardiograms with Random Forests
21. Learning Optical Flow Propagation Strategies Using Random Forests for Fast Segmentation in Dynamic 2D & 3D Echocardiography
22. Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image Segmentation
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