The revolution of glucose monitoring methods and systems: A survey. - Nourhan Bayasi; Hani H. Saleh; Baker Mohammad; Mohammed Ismail 001 (ICECS, 2013)

Adaptive technique for P and T wave delineation in electrocardiogram signals. - Nourhan Bayasi; Temesghen Tekeste; Hani H. Saleh; Ahsan Khandoker; Baker Mohammad; Mohammed Ismail 001 (EMBC, 2014)

A 65-nm low power ECG feature extraction system. - Nourhan Bayasi; Temesghen Tekeste; Hani H. Saleh; Baker Mohammad; Mohammed Ismail 001 (ISCAS, 2015)

Adaptive ECG interval extraction. - Temesghen Tekeste; Nourhan Bayasi; Hani H. Saleh; Ahsan Khandoker; Baker Mohammad; Mahmoud Al-Qutayri; Mohammed Ismail 001 (ISCAS, 2015)

Low-Power ECG-Based Processor for Predicting Ventricular Arrhythmia. - Nourhan Bayasi; Temesghen Tekeste; Hani H. Saleh; Baker Mohammad; Ahsan H. Khandoker; Mohammed Ismail 001 (IEEE Trans. Very Large Scale Integr. Syst., 2016)

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

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)

Conformal-in-the-Loop for Learning with Imbalanced Noisy Data. - John Brandon Graham-Knight; Jamil Fayyad; Nourhan Bayasi; Patricia Lasserre; Homayoun Najjaran (CoRR, 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)

BiasPruner: Mitigating bias transfer in continual learning for fair medical image analysis. - Nourhan Bayasi; Jamil Fayyad; Alceu Bissoto; Ghassan Hamarneh; Rafeef Garbi (Medical Image Anal., 2025)

Foundation Models as Class-Incremental Learners for Dermatological Image Classification. - Mohamed Elkhayat; Mohamed Mahmoud; Jamil Fayyad; Nourhan Bayasi (CoRR, 2025)

LesionGen: A Concept-Guided Diffusion Model for Dermatology Image Synthesis. - Jamil Fayyad; Nourhan Bayasi; Ziyang Yu; Homayoun Najjaran (CoRR, 2025)