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Rafeef Garbi
Person information
- affiliation: University of British Columbia, Vancouver, Canada
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2020 – today
- 2024
- [c16]Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
Continual-Zoo: Leveraging Zoo Models for Continual Classification of Medical Images. CVPR Workshops 2024: 4128-4138 - [c15]Nourhan Bayasi, Jamil Fayyad, Alceu Bissoto, Ghassan Hamarneh, Rafeef Garbi:
BiasPruner: Debiased Continual Learning for Medical Image Classification. MICCAI (10) 2024: 90-101 - [i4]Nourhan Bayasi, Jamil Fayyad, Alceu Bissoto, Ghassan Hamarneh, Rafeef Garbi:
BiasPruner: Debiased Continual Learning for Medical Image Classification. CoRR abs/2407.08609 (2024) - 2023
- [c14]Nourhan Bayasi, Siyi Du, Ghassan Hamarneh, Rafeef Garbi:
Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 3-13 - [c13]Siyi Du, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 25-36 - [c12]Siyi Du, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets. MICCAI (4) 2023: 448-458 - [i3]Siyi Du, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets. CoRR abs/2307.02100 (2023) - [i2]Siyi Du, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets. CoRR abs/2307.13897 (2023) - 2022
- [j6]Arunkumar Kannan, Antony J. Hodgson, Kishore Mulpuri, Rafeef Garbi:
Correction to: Leveraging voxel-wise segmentation uncertainty to improve reliability in assessment of paediatric dysplasia of the hip. Int. J. Comput. Assist. Radiol. Surg. 17(6): 1189 (2022) - [j5]Mohammad Arafat Hussain, Zahra Mirikharaji, Mohammad Momeny, Mahmoud Marhamati, Ali Asghar Neshat, Rafeef Garbi, Ghassan Hamarneh:
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. 102: 102127 (2022) - [c11]Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
BoosterNet: Improving Domain Generalization of Deep Neural Nets using Culpability-Ranked Features. CVPR 2022: 528-538 - [c10]Siyi Du, Ben Hers, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning. ECCV Workshops (4) 2022: 185-202 - [i1]Siyi Du, Ben Hers, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning. CoRR abs/2208.10013 (2022) - 2021
- [j4]Arunkumar Kannan, Antony J. Hodgson, Kishore Mulpuri, Rafeef Garbi:
Leveraging voxel-wise segmentation uncertainty to improve reliability in assessment of paediatric dysplasia of the hip. Int. J. Comput. Assist. Radiol. Surg. 16(7): 1121-1129 (2021) - [j3]Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi:
Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging. Comput. Medical Imaging Graph. 90: 101924 (2021) - [j2]Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi:
Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation. IEEE Trans. Medical Imaging 40(6): 1555-1567 (2021) - [c9]Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
Culprit-Prune-Net: Efficient Continual Sequential Multi-domain Learning with Application to Skin Lesion Classification. MICCAI (7) 2021: 165-175 - 2020
- [c8]Arunkumar Kannan, Antony J. Hodgson, Kishore Mulpuri, Rafeef Garbi:
Uncertainty Estimation for Assessment of 3D US Scan Adequacy and DDH Metric Reliability. UNSURE/GRAIL@MICCAI 2020: 97-105
2010 – 2019
- 2019
- [c7]Houssam El-Hariri, Kishore Mulpuri, Antony J. Hodgson, Rafeef Garbi:
Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip Bone Segmentation in Ultrasound. MICCAI (2) 2019: 12-20 - [c6]Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi:
ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans. MICCAI (6) 2019: 130-138 - [c5]Chris Yoon, Ghassan Hamarneh, Rafeef Garbi:
Generalizable Feature Learning in the Presence of Data Bias and Domain Class Imbalance with Application to Skin Lesion Classification. MICCAI (4) 2019: 365-373 - [c4]Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi:
Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network. MLMI@MICCAI 2019: 533-540 - 2018
- [j1]Chendi Wang, Bernard Ng, Rafeef Garbi:
Multimodal Brain Parcellation Based on Functional and Anatomical Connectivity. Brain Connect. 8(10): 604-617 (2018) - [c3]Olivia Paserin, Kishore Mulpuri, Anthony Cooper, Antony J. Hodgson, Rafeef Garbi:
Automated Dynamic 3D Ultrasound Assessment of Developmental Dysplasia of the Infant Hip. MSKI@MICCAI 2018: 136-145 - [c2]Olivia Paserin, Kishore Mulpuri, Anthony Cooper, Antony J. Hodgson, Rafeef Garbi:
Real Time RNN Based 3D Ultrasound Scan Adequacy for Developmental Dysplasia of the Hip. MICCAI (1) 2018: 365-373 - [c1]Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi:
Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma Using Multiple Instance Decisions Aggregated CNN. MICCAI (2) 2018: 657-665
Coauthor Index
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last updated on 2024-10-23 20:30 CEST by the dblp team
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