192 citations · 729 across the 35 of their papers we have counts for
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Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks
Saeid Asgari Taghanaki, Arkadeep Das, Ghassan Hamarneh
Recently, there have been several successful deep learning approaches for automatically classifying chest X-ray images into different disease categories. However, there is not yet…
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation
Zahra Mirikharaji, Ghassan Hamarneh
Semantic segmentation is an important preliminary step towards automatic medical image interpretation. Recently deep convolutional neural networks have become the first choice for…
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…
Select, Attend, and Transfer: Light, Learnable Skip Connections
Saeid Asgari Taghanaki, Aicha Bentaieb, Anmol Sharma +8
Skip connections in deep networks have improved both segmentation and classification performance by facilitating the training of deeper network architectures, and reducing the risk…
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation
Saeid Asgari Taghanaki, Yefeng Zheng, S. Kevin Zhou +5
Simultaneous segmentation of multiple organs from different medical imaging modalities is a crucial task as it can be utilized for computer-aided diagnosis, computer-assisted surge…