Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma Using Multiple Instance Decisions Aggregated CNN. - Mohammad Arafat Hussain; Ghassan Hamarneh; Rafeef Garbi (MICCAI (2), 2018)

Real Time RNN Based 3D Ultrasound Scan Adequacy for Developmental Dysplasia of the Hip. - Olivia Paserin; Kishore Mulpuri; Anthony Cooper; Antony J. Hodgson; Rafeef Garbi (MICCAI (1), 2018)

Automated Dynamic 3D Ultrasound Assessment of Developmental Dysplasia of the Infant Hip. - Olivia Paserin; Kishore Mulpuri; Anthony Cooper; Antony J. Hodgson; Rafeef Garbi (MSKI@MICCAI, 2018)

Multimodal Brain Parcellation Based on Functional and Anatomical Connectivity. - Chendi Wang; Bernard Ng; Rafeef Garbi (Brain Connect., 2018)

Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip Bone Segmentation in Ultrasound. - Houssam El-Hariri; Kishore Mulpuri; Antony J. Hodgson; Rafeef Garbi (MICCAI (2), 2019)

ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans. - Mohammad Arafat Hussain; Ghassan Hamarneh; Rafeef Garbi (MICCAI (6), 2019)

Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network. - Mohammad Arafat Hussain; Ghassan Hamarneh; Rafeef Garbi (MLMI@MICCAI, 2019)

Generalizable Feature Learning in the Presence of Data Bias and Domain Class Imbalance with Application to Skin Lesion Classification. - Chris Yoon; Ghassan Hamarneh; Rafeef Garbi (MICCAI (4), 2019)

Uncertainty Estimation for Assessment of 3D US Scan Adequacy and DDH Metric Reliability. - Arunkumar Kannan; Antony J. Hodgson; Kishore Mulpuri; Rafeef Garbi (UNSURE/GRAIL@MICCAI, 2020)

Culprit-Prune-Net: Efficient Continual Sequential Multi-domain Learning with Application to Skin Lesion Classification. - Nourhan Bayasi; Ghassan Hamarneh; Rafeef Garbi (MICCAI (7), 2021)

Leveraging voxel-wise segmentation uncertainty to improve reliability in assessment of paediatric dysplasia of the hip. - Arunkumar Kannan; Antony J. Hodgson; Kishore Mulpuri; Rafeef Garbi (Int. J. Comput. Assist. Radiol. Surg., 2021)

Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging. - Mohammad Arafat Hussain; Ghassan Hamarneh; Rafeef Garbi (Comput. Medical Imaging Graph., 2021)

Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation. - Mohammad Arafat Hussain; Ghassan Hamarneh; Rafeef Garbi (IEEE Trans. Medical Imaging, 2021)

BoosterNet: Improving Domain Generalization of Deep Neural Nets using Culpability-Ranked Features. - Nourhan Bayasi; Ghassan Hamarneh; Rafeef Garbi (CVPR, 2022)

FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning. - Siyi Du; Ben Hers; Nourhan Bayasi; Ghassan Hamarneh; Rafeef Garbi (ECCV Workshops (4), 2022)

Correction to: Leveraging voxel-wise segmentation uncertainty to improve reliability in assessment of paediatric dysplasia of the hip. - Arunkumar Kannan; Antony J. Hodgson; Kishore Mulpuri; Rafeef Garbi (Int. J. Comput. Assist. Radiol. Surg., 2022)

Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT. - Mohammad Arafat Hussain; Zahra Mirikharaji; Mohammad Momeny; Mahmoud Marhamati; Ali Asghar Neshat; Rafeef Garbi; Ghassan Hamarneh (Comput. Medical Imaging Graph., 2022)

Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion Classification. - Nourhan Bayasi; Siyi Du; Ghassan Hamarneh; Rafeef Garbi (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets. - Siyi Du; Nourhan Bayasi; Ghassan Hamarneh; Rafeef Garbi (MICCAI (4), 2023)

AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets. - Siyi Du; Nourhan Bayasi; Ghassan Hamarneh; Rafeef Garbi (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Continual-Zoo: Leveraging Zoo Models for Continual Classification of Medical Images. - Nourhan Bayasi; Ghassan Hamarneh; Rafeef Garbi (CVPR Workshops, 2024)

BiasPruner: Debiased Continual Learning for Medical Image Classification. - Nourhan Bayasi; Jamil Fayyad; Alceu Bissoto; Ghassan Hamarneh; Rafeef Garbi (MICCAI (10), 2024)

GC2: Generalizable Continual Classification of Medical Images. - Nourhan Bayasi; Ghassan Hamarneh; Rafeef Garbi (IEEE Trans. Medical Imaging, 2024)

Debiasify: Self-Distillation for Unsupervised Bias Mitigation. - Nourhan Bayasi; Jamil Fayyad; Ghassan Hamarneh; Rafeef Garbi; Homayoun Najjaran (WACV, 2025)