192 citations · 729 across the 35 of their papers we have counts for
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D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation
Zahra Mirikharaji, Kumar Abhishek, Saeed Izadi +1
Medical image segmentation annotations suffer from inter- and intra-observer variations even among experts due to intrinsic differences in human annotators and ambiguous boundaries…
Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion Segmentation
Kumar Abhishek, Ghassan Hamarneh
The segmentation of skin lesions is a crucial task in clinical decision support systems for the computer aided diagnosis of skin lesions. Although deep learning-based approaches ha…
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images
Kumar Abhishek, Ghassan Hamarneh, Mark S. Drew
The semantic segmentation of skin lesions is an important and common initial task in the computer aided diagnosis of dermoscopic images. Although deep learning-based approaches hav…
Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising
Saeed Izadi, Ghassan Hamarneh
Confocal microscopy is essential for histopathologic cell visualization and quantification. Despite its significant role in biology, fluorescence confocal microscopy suffers from t…
Deep Learning for Biomedical Image Reconstruction: A Survey
Hanene Ben Yedder, Ben Cardoen, Ghassan Hamarneh
Medical imaging is an invaluable resource in medicine as it enables to peer inside the human body and provides scientists and physicians with a wealth of information indispensable…