Publications

Snigdha Panigrahi, Shariq Mohammed, Arvind Rao, Veerabhadran Baladandayuthapani (2022). Integrative Bayesian models using post-selective inference: a case study in radiogenomics. arXiv.

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Sevcan Turk, Nicholas C. Wang, Omer Kitis, Shariq Mohammed, Tianwen Ma, Remy Lobo, John Kim, Sandra Camelo-Piragua, Timothy D.Johnson, Michelle M. Kim, Larry Junck, Toshio Moritani, Ashok Srinivasan, Arvind Rao, Jayapalli R. Bapuraj (2022). Comparative study of radiologists vs machine learning in differentiating biopsy-proven pseudoprogression and true progression in diffuse gliomas. Neuroscience Informatics.

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Angel Qin, Fatima Lima, Samantha Bell, Gregory P. Kalemkerian, Bryan J. Schneider, Nithya Ramnath, Madelyn Lew, Santhoshi N. Krishnan, Shariq Mohammed, Arvind Rao, Timothy L. Frankel (2022). Cellular engagement and interaction in the tumor microenvironment predict non-response to PD-1/PD-L1 inhibitors in metastatic non-small cell lung cancer. Annals of Applied Statistics.

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Rupam Bhattacharyya, Sayantan Banerjee, Shariq Mohammed, Veerabhadran Baladandayuthapani (2022). Network-based Modeling of COVID-19 Dynamics: Early Pandemic Spread in India. Journal of the Indian Statistical Association (Just Accepted).

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Santhoshi N. Krishnan, Shariq Mohammed, Timothy L. Frankel, Arvind Rao (2022). GaWRDenMap: A quantitative framework to study the local variation in cell-cell interactions in pancreatic disease subtypes. Scientific Reports (Just Accepted).

Shariq Mohammed, Visweswaran Ravikumar, Elisa Warner, Sohil H. Patel, Spyridon Bakas, Arvind Rao, Rajan Jain (2021). Quantifying T2-FLAIR mismatch using geographically weighted regression and predicting molecular status in lower-grade gliomas. American Journal of Neuroradiology.

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Shariq Mohammed, Sebastian Kurtek, Karthik Bharath, Arvind Rao, Veerabhadran Baladandayuthapani (2021). Tumor radiogenomics with Bayesian layered variable selection. arXiv.

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Aritra Halder, Shariq Mohammed, Kun Chen, Dipak K. Dey (2021). Spatial Tweedie exponential dispersion models: An application to insurance rate-making. Scandinavian Actuarial Journal (2021)..

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Shariq Mohammed, Karthik Bharath, Sebastian Kurtek, Arvind Rao, Veerabhadran Baladandayuthapani (2021). RADIOHEAD: Radiogenomic analysis incorporating tumor heterogeneity in imagine through densities. Annals of Applied Statistics.

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Shariq Mohammed, Dipak K. Dey (2021). Scalable spatio-temporal Bayesian analysis of high-dimensional electroencephalography data. Canadian Journal of Statistics.

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Joonsang Lee, Nicholas C. Wang, Sevcan Turk, Shariq Mohammed, Remy Lobo, John Kim, Eric Liao, Sandra Camelo-Piragua, Michelle M. Kim, Larry Junck, Jayapalli R. Bapuraj, Ashok Srinivasan, Arvind Rao (2020). Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning. Scientific Reports.

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Thierry Chekouo, Shariq Mohammed, Arvind Rao (2020). A Bayesian 2D functional linear model for gray-level co-occurrence matrices in texture analysis of lower grade gliomas. NeuroImage: Clinical.

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Shariq Mohammed, Tingyang Li, Xing D. Chen, Elisa Warner, Anand Shankar, Maria Fernanda Abalem, Thiran Jayasundera, Thomas W. Gardner, Arvind Rao (2020). Density-based classification in diabetic retinopathy through thickness of retinal layers from optical coherence tomography. Scientific Reports.

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Shariq Mohammed, Dipak K. Dey, Yuping Zhang (2020). Classification of high-dimensional electroencephalography data with location selection using structured spike-and-slab prior. Statistical Analysis and Data Mining: The ASA Data Science Journal.

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Debashree Ray, Maxwell Salvatore, Rupam Bhattacharyya, Lili Wang, Jiacong Du, Shariq Mohammed, Soumik Purkayastha, Aritra Halder, Alexander Rix, Daniel Barker, Michael Kleinsasser, Yiwang Zhou, Debraj Bose, Peter Song, Mousumi Banerjee, Veerabhadran Baladandayuthapani, Parikshit Ghosh, Bhramar Mukherjee (2020). Predictions, role of interventions and effects of a historic national lockdown in India’s response to the COVID-19 pandemic: data science call to arms. Harvard Data Science Review.

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James Matuk, Shariq Mohammed, Sebastian Kurtek, Karthik Bharath (2020). Biomedical applications of geometric functional data analysis. Handbook of Variational Methods for Nonlinear Geometric Data - Springer.

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Aritra Halder, Shariq Mohammed, Kun Chen, Dipak K. Dey (2019). Spatial risk estimation in Tweedie compound Poisson double generalized linear models. arXiv.

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Shariq Mohammed, Dipak K. Dey, Yuping Zhang (2019). Bayesian variable selection using spike-and-slab priors with application to high dimensional electroencephalography data by local modelling. Journal of the Royal Statistical Society: Series C (Applied Statistics).

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Shariq Mohammed, Dipak K. Dey (2019). Assessing malaria using neutral zone classifiers with mixture discriminant analysis on 2D images of red blood cells. Journal of Biostatistics and Epidemiology.

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Sanjay P. Bhat, M. Uday Kumar, Shariq Mohammed (2016). A dynamical systems approach to systemic risk in a financial network. In 2016 Indian Control Conference (ICC).

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