5 papers
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…
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…
WhiteNNer-Blind Image Denoising via Noise Whiteness Priors
Saeed Izadi, Zahra Mirikharaji, Mengliu Zhao +1
The accuracy of medical imaging-based diagnostics is directly impacted by the quality of the collected images. A passive approach to improve image quality is one that lags behind i…
Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy
Saeed Izadi, Darren Sutton, Ghassan Hamarneh
Recent developments in image acquisition literature have miniaturized the confocal laser endomicroscopes to improve usability and flexibility of the apparatus in actual clinical se…
Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements?
Saeed Izadi, Kathleen P. Moriarty, Ghassan Hamarneh
Confocal laser endomicroscopy (CLE) is a novel imaging modality that provides in vivo histological cross-sections of examined tissue. Recently, attempts have been made to develop m…