1. Anmol Sharma. Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network. Master's Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, August 2019. [bibtex-key = msc2019sharma]

1. Ben Cardoen, Hanene Ben Yedder, Anmol Sharma, Keng C. Chou, Ivan Robert Nabi, and Ghassan Hamarneh. ERGO: Efficient Recurrent Graph Optimized Emitter Density Estimation in Single Molecule Localization Microscopy. IEEE Transactions on Medical Imaging (IEEE TMI), 39(6):1942-1956, 2020. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning. [bibtex-key = tmi2020]



2. Anmol Sharma and Ghassan Hamarneh. Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network. IEEE Transactions on Medical Imaging (IEEE TMI), 39(4):1170-1183, 2019. Keyword(s): Machine Learning, Deep Learning, Generative Adversarial Network, Synthesis/Simulation/Augmentation, Multimodal. [bibtex-key = tmi2019]

1. Saeid Asgari Taghanaki, Aicha BenTaieb, Anmol Sharma, S. Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, and Ghassan Hamarneh. SAT: Select, Attend, and Transfer: Light, Learnable Skip Connections. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 11861, pages 417-425, 2019. Keyword(s): Machine Learning, Deep Learning, Segmentation. [bibtex-key = miccai_mlmi2019b]

1. Anmol Sharma and Ghassan Hamarneh. Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network. Technical report arxiv:1904.12200, 4 2019. Keyword(s): Glioma Imaging, Machine Learning, Deep Learning, Generative Adversarial Network, Multimodal. [bibtex-key = arxiv:1904.12200]



2. Saeid Asgari Taghanaki, Aicha BenTaieb, Anmol Sharma, S. Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, and Ghassan Hamarneh. Select, Attend, and Transfer: Light, Learnable Skip Connections. Technical report arxiv:1703.04559, 4 2018. Keyword(s): Machine Learning, Deep Learning, Segmentation. [bibtex-key = arxiv:1804.05181]

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