Probabilistic data integration and visualization for understanding transcriptional regulation. - Arvind Rao; Alfred O. Hero III; David J. States; James Douglas Engel (EUSIPCO, 2006)

Inference of Biologically Relevant Gene Influence Networks Using the Directed Information Criterion. - Arvind Rao; Alfred O. Hero III; David J. States; James Douglas Engel (ICASSP (2), 2006)

Inferring Time-Varying Network Topologies from Gene Expression Data. - Arvind Rao; Alfred O. Hero III; David J. States; James Douglas Engel (EURASIP J. Bioinform. Syst. Biol., 2007)

Motif Discovery in Tissue-Specific Regulatory Sequences Using Directed Information. - Arvind Rao; Alfred O. Hero III; David J. States; James Douglas Engel (EURASIP J. Bioinform. Syst. Biol., 2007)

Using Directed Information to Build Biologically Relevant Influence Networks. - Arvind Rao; Alfred O. Hero III; David J. States; James Douglas Engel (J. Bioinform. Comput. Biol., 2008)

Automated Analysis of Human Protein Atlas Immunofluorescence Images. - Justin Newberg; Jieyue Li; Arvind Rao; Fredrik Ponten; Mathias Uhlen; Emma Lundberg; Robert F. Murphy (ISBI, 2009)

Understanding Distal transcriptional Regulation from Sequence, Expression and interactome Perspectives. - Arvind Rao; David J. States; Alfred O. Hero III; James Douglas Engel (J. Bioinform. Comput. Biol., 2010)

Biological pathway inference using manifold embedding. - Arvind Rao; Alfred O. Hero III (ICASSP, 2011)

Determination of protein location diversity via analysis of immunohistochemical images from the Human Protein Atlas. - Arvind Rao; Robert F. Murphy (ISBI, 2011)

Peak Geodesic Concentration: A measure of WM complexity in HARDI. - Arvind Rao; Alex R. Smith; Robert T. Schultz; Timothy P. L. Roberts; Ragini Verma (MMBIA, 2012)

Automated image analysis and inference of gene function from high - Content screens. - Priyanka J. Raja; Justin Jacob; Byung-Jun Yoon; Geoffrey Bartholomeusz; Arvind Rao (EUSIPCO, 2013)

Exploring relationships between multivariate radiological phenotypes and genetic features: A case-study in Glioblastoma using the Cancer Genome Atlas. - Arvind Rao (GlobalSIP, 2013)

Adaptive-model predictive control of electronic expansion valves for evaporator superheat minimization. - Fadi Alsaleem; Mehari Tesfay; Parthiban Arunasalam; Arvind Rao (EIT, 2017)

A machine learning approach for modular workflow performance prediction. - Alok Singh 004; Arvind Rao; Shweta Purawat; Ilkay Altintas (WORKS@SC, 2017)

Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging. - Donnie Kim; Nicholas Wang; Viswesh Ravikumar; D. R. Raghuram; Jinju Li; Ankit Patel; Richard E. Wendt; Ganesh Rao; Arvind Rao (Frontiers Comput. Neurosci., 2019)

DDAP: docking domain affinity and biosynthetic pathway prediction tool for type I polyketide synthases. - Tingyang Li; Ashootosh Tripathi; Fengan Yu; David H. Sherman; Arvind Rao (Bioinform., 2020)

Modular performance prediction for scientific workflows using Machine Learning. - Alok Singh 004; Shweta Purawat; Arvind Rao; Ilkay Altintas (Future Gener. Comput. Syst., 2021)

Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients. - Souptik Barua; Hesham Elhalawani; Stefania Volpe; Karine A. Al Feghali; Pei Yang; Sweet Ping Ng; Baher Elgohari; Robin C. Granberry; Dennis S. Mackin; G. Brandon Gunn; Katherine A. Hutcheson; Mark S. Chambers; et al. (Frontiers Artif. Intell., 2021)

Investigating Useful Features for Overall Survival Prediction in Patients with Low-Grade Glioma Using Histology Slides. - Elisa Warner; Xuelu Li; Ganesh Rao; Jason Huse; Jeffrey Traylor; Visweswaran Ravikumar; Vishal Monga; Arvind Rao (EMBC, 2022)

CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data. - Yan Li 049; Majid Farhadloo; Santhoshi Krishnan; Yiqun Xie; Timothy L. Frankel; Shashi Shekhar 001; Arvind Rao (BigSpatial@SIGSPATIAL, 2022)

Explainable AI (XAI) In Biomedical Signal and Image Processing: Promises and Challenges. - Guang Yang 006; Arvind Rao; Christine Fernandez-Maloigne; Vince D. Calhoun; Gloria Menegaz (ICIP, 2022)

Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information. - Elisa Warner; Najla Al Turkestani; Jonas Bianchi; Marcela Lima Gurgel; Lucia H. S. Cevidanes; Arvind Rao (EPIMI/ML-CDS@MICCAI, 2022)

Low-parameter supervised learning models can discriminate pseudoprogression and true progression in non-perfusion-based MRI. - Elisa Warner; Joonsang Lee; Santhoshi Krishnan; Nicholas Wang; Shariq Mohammed; Ashok Srinivasan; Jayapalli R. Bapuraj; Arvind Rao (EMBC, 2023)

Lowering the computational barrier: Partially Bayesian neural networks for transparency in medical imaging AI. - Snehal Prabhudesai; Jeremiah Hauth; Dingkun Guo; Arvind Rao; Nikola Banovic 001; Xun Huan (Frontiers Comput. Sci., 2023)

Efficient Inference of Spatially-Varying Gaussian Markov Random Fields With Applications in Gene Regulatory Networks. - Visweswaran Ravikumar; Tong Xu; Wajd N. Al-Holou; Salar Fattahi; Arvind Rao (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Tumor radiogenomics in gliomas with Bayesian layered variable selection. - Shariq Mohammed; Sebastian Kurtek; Karthik Bharath; Arvind Rao; Veerabhadran Baladandayuthapani (Medical Image Anal., 2023)

DIMPLE: An R package to quantify, visualize, and model spatial cellular interactions from multiplex imaging with distance matrices. - Maria Masotti; Nathaniel Osher; Joel Eliason; Arvind Rao; Veerabhadran Baladandayuthapani (Patterns, 2023)

Tensor decomposition to identify context-aware spatial neighborhoods in the tumor microenvironment. - Reva Kulkarni; Gauri Patel; Joel Eliason; Arvind Rao (EMBC, 2024)

Undergraduate Education in Computational Pathology Through Global Health Inspired Projects. - Avery Maddox; Robin Fowler; Ellen Solomon; Arvind Rao (EMBC, 2024)

Proximogram - A multi-omics network-based framework to capture tissue heterogeneity integrating single-cell omics and spatial profiling. - Santhoshi N. Krishnan; Sunjong Ji; Ahmed M. Elhossiny; Achyutha Rao; Timothy L. Frankel; Arvind Rao (Comput. Biol. Medicine, 2024)

Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. - Elisa Warner; Joonsang Lee; William Hsu; Tanveer F. Syeda-Mahmood; Charles E. Kahn Jr.; Olivier Gevaert; Arvind Rao (Int. J. Comput. Vis., 2024)

Editorial: AI in digital oncology: imaging and wearable technology for cancer detection and management. - Souptik Barua; Channing J. Paller; Navkiran Randhawa; Arvind Rao (Frontiers Artif. Intell., 2025)