A Fault Tolerant Data Structure for Peer-to-Peer Range Query Processing. - Zahra Mirikharaji; Bradford G. Nickerson (CCCG, 2015)

Globally-Optimal Anatomical Tree Extraction from 3D Medical Images Using Pictorial Structures and Minimal Paths. - Zahra Mirikharaji; Mengliu Zhao; Ghassan Hamarneh (MICCAI (2), 2017)

A fault tolerant peer-to-peer spatial data structure. - Pouya Bisadi; Zahra Mirikharaji; Bradford G. Nickerson (Peer-to-Peer Netw. Appl., 2017)

Generative adversarial networks to segment skin lesions. - Saeed Izadi; Zahra Mirikharaji; Jeremy Kawahara; Ghassan Hamarneh (ISBI, 2018)

Deep auto-context fully convolutional neural network for skin lesion segmentation. - Zahra Mirikharaji; Saeed Izadi; Jeremy Kawahara; Ghassan Hamarneh (ISBI, 2018)

Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation. - Zahra Mirikharaji; Ghassan Hamarneh (MICCAI (4), 2018)

WhiteNNer-Blind Image Denoising via Noise Whiteness Priors. - Saeed Izadi; Zahra Mirikharaji; Mengliu Zhao; Ghassan Hamarneh (ICCV Workshops, 2019)

Learning to Segment Skin Lesions from Noisy Annotations. - Zahra Mirikharaji; Yiqi Yan; Ghassan Hamarneh (DART/MIL3ID@MICCAI, 2019)

Weakly supervised fully convolutional network for PET lesion segmentation. - Saeedeh Afshari; Aïcha BenTaieb; Zahra Mirikharaji; Ghassan Hamarneh (Image Processing, 2019)

D-LEMA: Deep Learning Ensembles From Multiple Annotations - Application to Skin Lesion Segmentation. - Zahra Mirikharaji; Kumar Abhishek 001; Saeed Izadi; Ghassan Hamarneh (CVPR Workshops, 2021)

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)

A survey on deep learning for skin lesion segmentation. - Zahra Mirikharaji; Kumar Abhishek 001; Alceu Bissoto; Catarina Barata; Sandra Avila; Eduardo Valle; M. Emre Celebi 001; Ghassan Hamarneh (Medical Image Anal., 2023)