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Arvind Rao
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2020 – today
- 2024
- [j14]Santhoshi N. Krishnan
, Sunjong Ji
Proximogram - A multi-omics network-based framework to capture tissue heterogeneity integrating single-cell omics and spatial profiling. Comput. Biol. Medicine 182: 109082 (2024) - [j13]Elisa Warner
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. Int. J. Comput. Vis. 132(9): 3753-3769 (2024) - 2023
- [j12]Snehal Prabhudesai, Jeremiah Hauth, Dingkun Guo, Arvind Rao, Nikola Banovic, Xun Huan:
Lowering the computational barrier: Partially Bayesian neural networks for transparency in medical imaging AI. Frontiers Comput. Sci. 5 (2023) - [j11]Shariq Mohammed
Tumor radiogenomics in gliomas with Bayesian layered variable selection. Medical Image Anal. 90: 102964 (2023) - [j10]Maria Masotti
DIMPLE: An R package to quantify, visualize, and model spatial cellular interactions from multiplex imaging with distance matrices. Patterns 4(12): 100879 (2023) - [j9]Visweswaran Ravikumar
Efficient Inference of Spatially-Varying Gaussian Markov Random Fields With Applications in Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2920-2932 (2023) - [c15]Elisa Warner, Joonsang Lee, Santhoshi Krishnan, Nicholas Wang
Low-parameter supervised learning models can discriminate pseudoprogression and true progression in non-perfusion-based MRI. EMBC 2023: 1-4 - [i2]Elisa Warner, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn, Olivier Gevaert, Arvind Rao:
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. CoRR abs/2311.02332 (2023) - 2022
- [c14]Elisa Warner, Xuelu Li, Ganesh Rao, Jason Huse, Jeffrey Traylor, Visweswaran Ravikumar, Vishal Monga, Arvind Rao:
Investigating Useful Features for Overall Survival Prediction in Patients with Low-Grade Glioma Using Histology Slides. EMBC 2022: 4938-4941 - [c13]Yan Li, Majid Farhadloo, Santhoshi Krishnan, Yiqun Xie, Timothy L. Frankel, Shashi Shekhar, Arvind Rao:
CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data. BigSpatial@SIGSPATIAL 2022: 36-46 - [c12]Guang Yang, Arvind Rao, Christine Fernandez-Maloigne, Vince D. Calhoun
Explainable AI (XAI) In Biomedical Signal and Image Processing: Promises and Challenges. ICIP 2022: 1531-1535 - [c11]Elisa Warner
Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information. EPIMI/ML-CDS@MICCAI 2022: 77-86 - [i1]Guang Yang, Arvind Rao, Christine Fernandez-Maloigne, Vince D. Calhoun
Explainable AI (XAI) in Biomedical Signal and Image Processing: Promises and Challenges. CoRR abs/2207.04295 (2022) - 2021
- [j8]Alok Singh, Shweta Purawat, Arvind Rao, Ilkay Altintas:
Modular performance prediction for scientific workflows using Machine Learning. Future Gener. Comput. Syst. 114: 1-14 (2021) - [j7]Souptik Barua
Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients. Frontiers Artif. Intell. 4: 618469 (2021) - 2020
- [j6]Tingyang Li
DDAP: docking domain affinity and biosynthetic pathway prediction tool for type I polyketide synthases. Bioinform. 36(3): 942-944 (2020)
2010 – 2019
- 2019
- [j5]Donnie Kim, Nicholas Wang
Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging. Frontiers Comput. Neurosci. 13: 52 (2019) - 2017
- [c10]Fadi Alsaleem, Mehari Tesfay, Parthiban Arunasalam, Arvind Rao:
Adaptive-model predictive control of electronic expansion valves for evaporator superheat minimization. EIT 2017: 159-165 - [c9]Alok Singh, Arvind Rao, Shweta Purawat, Ilkay Altintas:
A machine learning approach for modular workflow performance prediction. WORKS@SC 2017: 7:1-7:11 - 2013
- [c8]Priyanka J. Raja, Justin Jacob, Byung-Jun Yoon, Geoffrey Bartholomeusz, Arvind Rao:
Automated image analysis and inference of gene function from high - Content screens. EUSIPCO 2013: 1-5 - [c7]Arvind Rao:
Exploring relationships between multivariate radiological phenotypes and genetic features: A case-study in Glioblastoma using the Cancer Genome Atlas. GlobalSIP 2013: 69-72 - 2012
- [c6]Arvind Rao, Alex R. Smith, Robert T. Schultz, Timothy P. L. Roberts
Peak Geodesic Concentration: A measure of WM complexity in HARDI. MMBIA 2012: 233-238 - 2011
- [c5]Arvind Rao, Alfred O. Hero III:
Biological pathway inference using manifold embedding. ICASSP 2011: 5992-5995 - [c4]Arvind Rao, Robert F. Murphy:
Determination of protein location diversity via analysis of immunohistochemical images from the Human Protein Atlas. ISBI 2011: 1727-1729 - 2010
- [j4]Arvind Rao, David J. States, Alfred O. Hero III, James Douglas Engel:
Understanding Distal transcriptional Regulation from Sequence, Expression and interactome Perspectives. J. Bioinform. Comput. Biol. 8(2): 219-246 (2010)
2000 – 2009
- 2009
- [c3]Justin Newberg, Jieyue Li, Arvind Rao, Fredrik Ponten, Mathias Uhlen
Automated Analysis of Human Protein Atlas Immunofluorescence Images. ISBI 2009: 1023-1026 - 2008
- [j3]Arvind Rao, Alfred O. Hero III, David J. States, James Douglas Engel:
Using Directed Information to Build Biologically Relevant Influence Networks. J. Bioinform. Comput. Biol. 6(3): 493-519 (2008) - 2007
- [j2]Arvind Rao, Alfred O. Hero III, David J. States, James Douglas Engel:
Inferring Time-Varying Network Topologies from Gene Expression Data. EURASIP J. Bioinform. Syst. Biol. 2007 (2007) - [j1]Arvind Rao, Alfred O. Hero III, David J. States, James Douglas Engel:
Motif Discovery in Tissue-Specific Regulatory Sequences Using Directed Information. EURASIP J. Bioinform. Syst. Biol. 2007 (2007) - 2006
- [c2]Arvind Rao, Alfred O. Hero III, David J. States, James Douglas Engel:
Probabilistic data integration and visualization for understanding transcriptional regulation. EUSIPCO 2006: 1-5 - [c1]Arvind Rao, Alfred O. Hero III, David J. States, James Douglas Engel:
Inference of Biologically Relevant Gene Influence Networks Using the Directed Information Criterion. ICASSP (2) 2006: 1028-1031
Coauthor Index
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