Arvind Rao

35 papers B 1Misc 1Journal 18Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
SHADE: A multilevel Bayesian framework for modeling directional spatial interactions in tissue microenvironments.
PLoS Comput. Biol.
Joel Eliason, Michele Peruzzi, Arvind Rao
2025 J jnl
Editorial: AI in digital oncology: imaging and wearable technology for cancer detection and management.
Frontiers Artif. Intell.
Souptik Barua, Channing J. Paller, Navkiran Randhawa, Arvind Rao
2024 J jnl
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects.
Int. J. Comput. Vis.
Elisa Warner, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn Jr., Olivier Gevaert, Arvind Rao
2024 J jnl
Proximogram - A multi-omics network-based framework to capture tissue heterogeneity integrating single-cell omics and spatial profiling.
Comput. Biol. Medicine
Santhoshi N. Krishnan, Sunjong Ji, Ahmed M. Elhossiny, Achyutha Rao, Timothy L. Frankel, Arvind Rao
2024 — conf
Tensor decomposition to identify context-aware spatial neighborhoods in the tumor microenvironment.
EMBC
Reva Kulkarni, Gauri Patel, Joel Eliason, Arvind Rao
2024 — conf
Undergraduate Education in Computational Pathology Through Global Health Inspired Projects.
EMBC
Avery Maddox, Robin Fowler, Ellen Solomon, Arvind Rao
2023 J jnl
DIMPLE: An R package to quantify, visualize, and model spatial cellular interactions from multiplex imaging with distance matrices.
Patterns
Maria Masotti, Nathaniel Osher, Joel Eliason, Arvind Rao, Veerabhadran Baladandayuthapani
2023 J jnl
Efficient Inference of Spatially-Varying Gaussian Markov Random Fields With Applications in Gene Regulatory Networks.
IEEE ACM Trans. Comput. Biol. Bioinform.
Visweswaran Ravikumar, Tong Xu, Wajd N. Al-Holou, Salar Fattahi, Arvind Rao
2023 — conf
Low-parameter supervised learning models can discriminate pseudoprogression and true progression in non-perfusion-based MRI.
EMBC
Elisa Warner, Joonsang Lee, Santhoshi Krishnan, Nicholas Wang, Shariq Mohammed, Ashok Srinivasan, Jayapalli R. Bapuraj, Arvind Rao
2023 J jnl
Lowering the computational barrier: Partially Bayesian neural networks for transparency in medical imaging AI.
Frontiers Comput. Sci.
Snehal Prabhudesai, Jeremiah Hauth, Dingkun Guo, Arvind Rao, Nikola Banovic, Xun Huan
2023 J jnl
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects.
CoRR
Elisa Warner, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn, Olivier Gevaert, Arvind Rao
2023 J jnl
Tumor radiogenomics in gliomas with Bayesian layered variable selection.
Medical Image Anal.
Shariq Mohammed, Sebastian Kurtek, Karthik Bharath, Arvind Rao, Veerabhadran Baladandayuthapani
2022 — conf
CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data.
BigSpatial@SIGSPATIAL
Yan Li, Majid Farhadloo, Santhoshi Krishnan, Yiqun Xie, Timothy L. Frankel, Shashi Shekhar, Arvind Rao
2022 B conf
Explainable AI (XAI) In Biomedical Signal and Image Processing: Promises and Challenges.
ICIP
Guang Yang, Arvind Rao, Christine Fernandez-Maloigne, Vince D. Calhoun, Gloria Menegaz
2022 J jnl
Explainable AI (XAI) in Biomedical Signal and Image Processing: Promises and Challenges.
CoRR
Guang Yang, Arvind Rao, Christine Fernandez-Maloigne, Vince D. Calhoun, Gloria Menegaz
2022 — conf
Investigating Useful Features for Overall Survival Prediction in Patients with Low-Grade Glioma Using Histology Slides.
EMBC
Elisa Warner, Xuelu Li, Ganesh Rao, Jason Huse, Jeffrey Traylor, Visweswaran Ravikumar, Vishal Monga, Arvind Rao
2022 — conf
Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information.
EPIMI/ML-CDS@MICCAI
Elisa Warner, Najla Al Turkestani, Jonas Bianchi, Marcela Lima Gurgel, Lucia H. S. Cevidanes, Arvind Rao
2021 J jnl
Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients.
Frontiers Artif. Intell.
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, Laurence E. Court, Abdallah Sherif Radwan Mohamed, Clifton D. Fuller, Stephen Y. Lai, Arvind Rao
2021 J jnl
Modular performance prediction for scientific workflows using Machine Learning.
Future Gener. Comput. Syst.
Alok Singh, Shweta Purawat, Arvind Rao, Ilkay Altintas
2020 J jnl
DDAP: docking domain affinity and biosynthetic pathway prediction tool for type I polyketide synthases.
Bioinform.
Tingyang Li, Ashootosh Tripathi, Fengan Yu, David H. Sherman, Arvind Rao
2019 J jnl
Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging.
Frontiers Comput. Neurosci.
Donnie Kim, Nicholas Wang, Viswesh Ravikumar, D. R. Raghuram, Jinju Li, Ankit Patel, Richard E. Wendt, Ganesh Rao, Arvind Rao
2017 — conf
A machine learning approach for modular workflow performance prediction.
WORKS@SC
Alok Singh, Arvind Rao, Shweta Purawat, Ilkay Altintas
2017 — conf
Adaptive-model predictive control of electronic expansion valves for evaporator superheat minimization.
EIT
Fadi Alsaleem, Mehari Tesfay, Parthiban Arunasalam, Arvind Rao
2013 — conf
Automated image analysis and inference of gene function from high - Content screens.
EUSIPCO
Priyanka J. Raja, Justin Jacob, Byung-Jun Yoon, Geoffrey Bartholomeusz, Arvind Rao
2013 — conf
Exploring relationships between multivariate radiological phenotypes and genetic features: A case-study in Glioblastoma using the Cancer Genome Atlas.
GlobalSIP
Arvind Rao
2012 — conf
Peak Geodesic Concentration: A measure of WM complexity in HARDI.
MMBIA
Arvind Rao, Alex R. Smith, Robert T. Schultz, Timothy P. L. Roberts, Ragini Verma
2011 Misc conf
Biological pathway inference using manifold embedding.
ICASSP
Arvind Rao, Alfred O. Hero III
2011 — conf
Determination of protein location diversity via analysis of immunohistochemical images from the Human Protein Atlas.
ISBI
Arvind Rao, Robert F. Murphy
2010 J jnl
Understanding Distal transcriptional Regulation from Sequence, Expression and interactome Perspectives.
J. Bioinform. Comput. Biol.
Arvind Rao, David J. States, Alfred O. Hero III, James Douglas Engel
2009 — conf
Automated Analysis of Human Protein Atlas Immunofluorescence Images.
ISBI
Justin Newberg, Jieyue Li, Arvind Rao, Fredrik Ponten, Mathias Uhlen, Emma Lundberg, Robert F. Murphy
2008 J jnl
Using Directed Information to Build Biologically Relevant Influence Networks.
J. Bioinform. Comput. Biol.
Arvind Rao, Alfred O. Hero III, David J. States, James Douglas Engel
2007 J jnl
Inferring Time-Varying Network Topologies from Gene Expression Data.
EURASIP J. Bioinform. Syst. Biol.
Arvind Rao, Alfred O. Hero III, David J. States, James Douglas Engel
2007 J jnl
Motif Discovery in Tissue-Specific Regulatory Sequences Using Directed Information.
EURASIP J. Bioinform. Syst. Biol.
Arvind Rao, Alfred O. Hero III, David J. States, James Douglas Engel
2006 — conf
Inference of Biologically Relevant Gene Influence Networks Using the Directed Information Criterion.
ICASSP (2)
Arvind Rao, Alfred O. Hero III, David J. States, James Douglas Engel
2006 — conf
Probabilistic data integration and visualization for understanding transcriptional regulation.
EUSIPCO
Arvind Rao, Alfred O. Hero III, David J. States, James Douglas Engel