Rafeef Garbi
Orcid: 0000-0001-6224-0876Affiliations:
- University of British Columbia, Vancouver, Canada
According to our database1,
Rafeef Garbi
authored at least 20 papers
between 2018 and 2023.
Collaborative distances:
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Bibliography
2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
2022
Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT.
Comput. Medical Imaging Graph., 2022
Correction to: Leveraging voxel-wise segmentation uncertainty to improve reliability in assessment of paediatric dysplasia of the hip.
Int. J. Comput. Assist. Radiol. Surg., 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
BoosterNet: Improving Domain Generalization of Deep Neural Nets using Culpability-Ranked Features.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation.
IEEE Trans. Medical Imaging, 2021
Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging.
Comput. Medical Imaging Graph., 2021
Leveraging voxel-wise segmentation uncertainty to improve reliability in assessment of paediatric dysplasia of the hip.
Int. J. Comput. Assist. Radiol. Surg., 2021
Culprit-Prune-Net: Efficient Continual Sequential Multi-domain Learning with Application to Skin Lesion Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Uncertainty Estimation for Assessment of 3D US Scan Adequacy and DDH Metric Reliability.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
2019
Generalizable Feature Learning in the Presence of Data Bias and Domain Class Imbalance with Application to Skin Lesion Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip Bone Segmentation in Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Brain Connect., 2018
Automated Dynamic 3D Ultrasound Assessment of Developmental Dysplasia of the Infant Hip.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2018
Real Time RNN Based 3D Ultrasound Scan Adequacy for Developmental Dysplasia of the Hip.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma Using Multiple Instance Decisions Aggregated CNN.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018