Arvind Rao

发表

Modular performance prediction for scientific workflows using Machine Learning

Ilkay Altintas, Shweta Purawat, Alok R. Singh, 2021, Future Gener. Comput. Syst..

The feasibility of endoscopy-CT image registration in the head and neck without prospective endoscope tracking

Jinzhong Yang, Arvind Rao, Beth M Beadle, 2017, PloS one.

Machine learning and modeling: Data, validation, communication challenges

Todd McNutt, Yaorong Ge, Issam El Naqa, 2018, Medical physics.

Integrative Bayesian models using Post‐selective inference: A case study in radiogenomics

Veerabhadran Baladandayuthapani, Arvind Rao, Shariq Mohammed, 2020, Biometrics.

Machine and deep learning methods for radiomics.

Issam El Naqa, Michele Avanzo, Martin Vallières, 2020, Medical physics.

Imaging-genomic pipeline for identifying gene mutations using three-dimensional intra-tumor heterogeneity features

Arvind Rao, Payel Ghosh, Pheroze Tamboli, 2015, Journal of medical imaging.

Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning

Shariq Mohammed, Arvind Rao, Joonsang Lee, 2020, Scientific Reports.

Inferring network structure in non‐normal and mixed discrete‐continuous genomic data

Veerabhadran Baladandayuthapani, Anindya Bhadra, Arvind Rao, 2016, Biometrics.

Kinetic Modeling and Constrained Reconstruction of Hyperpolarized [1-13C]-Pyruvate Offers Improved Metabolic Imaging of Tumors.

Marc S Ramirez, James A Bankson, Wolfgang Stefan, 2015, Cancer research.

Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients

Souptik Barua, Laurence E. Court, Pei Yang, 2021, Frontiers in Artificial Intelligence.

Tumor Radiogenomics with Bayesian Layered Variable Selection

Sebastian Kurtek, Veerabhadran Baladandayuthapani, Karthik Bharath, 2021, 2106.10941.

RADIOHEAD: Radiogenomic analysis incorporating tumor heterogeneity in imaging through densities

Sebastian Kurtek, Veerabhadran Baladandayuthapani, Karthik Bharath, 2021, The Annals of Applied Statistics.

Effect of pulse sequence parameter selection on signal strength in positive-contrast MRI markers for MRI-based prostate postimplant assessment.

Steven J Frank, Rajat J Kudchadker, R Jason Stafford, 2016, Medical physics.

Clinically relevant inflammatory breast cancer patient-derived xenograft–derived ex vivo model for evaluation of tumor-specific therapies

Funda Meric-Bernstam, Arvind Rao, Naoto T Ueno, 2018, PloS one.

Predicting oropharyngeal tumor volume throughout the course of radiation therapy from pretreatment computed tomography data using general linear models.

Rajat J Kudchadker, Lei Dong, Arvind Rao, 2014, Medical physics.

Radiogenomics and Histomics in Glioblastoma: The Promise of Linking Image-Derived Phenotype with Genomic Information

Souptik Barua, Arvind Rao, Donnie Kim, 2017 .

Radiologic image‐based statistical shape analysis of brain tumours

Sebastian Kurtek, Veerabhadran Baladandayuthapani, Karthik Bharath, 2017, Journal of the Royal Statistical Society. Series C, Applied statistics.

Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypes

Maryellen L. Giger, Karen Drukker, Gary J. Whitman, 2017, European Radiology Experimental.

A Pan-Cancer Analysis Reveals High-Frequency Genetic Alterations in Mediators of Signaling by the TGF-β Superfamily.

Pan Tong, Andre Schultz, Rehan Akbani, 2018, Cell systems.

A Functional Spatial Analysis Platform for Discovery of Immunological Interactions Predictive of Low-Grade to High-Grade Transition of Pancreatic Intraductal Papillary Mucinous Neoplasms

Mei Jiang, Jaime Rodriguez-Canales, Souptik Barua, 2018, Cancer informatics.

Spatial computation of intratumoral T cells correlates with survival of patients with pancreatic cancer

Souptik Barua, Arvind Rao, Dalu Yang, 2017, Nature Communications.

The Emerging Landscape of Epidemiological Research Based on Biobanks Linked to Electronic Health Records: Existing Resources, Analytic Challenges and Potential Opportunities

Bhramar Mukherjee, Cristen J. Willer, Lars G. Fritsche, 2018 .

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Clement Adebamowo, Ritika Kundra, Steven J. M. Jones, 2018, Cell reports.

Comprehensive Two- and Three-Dimensional RNAi Screening Identifies PI3K Inhibition as a Complement to MEK Inhibitor AS703026 for Combination Treatment of Triple-Negative Breast Cancer

Arvind Rao, Geoffrey Bartholomeusz, Justin Jacob, 2015, Journal of Cancer.

Focal Radiation Therapy Dose Escalation Improves Overall Survival in Locally Advanced Pancreatic Cancer Patients Receiving Induction Chemotherapy and Consolidative Chemoradiation.

Gabriel O Sawakuchi, Yelin Suh, Sam Beddar, 2016, International journal of radiation oncology, biology, physics.

Beyond mean pharyngeal constrictor dose for beam path toxicity in non-target swallowing muscles: Dose-volume correlates of chronic radiation-associated dysphagia (RAD) after oropharyngeal intensity modulated radiotherapy.

Jayashree Kalpathy-Cramer, Clifton D. Fuller, Arvind Rao, 2016, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures

Subha Madhavan, Joel Saltz, Anant Madabhushi, 2014, Translational oncology.

Radiomics in cancer diagnosis, cancer staging, and prediction of response to treatment

Arvind Rao, Laurence Edward Court, Sunil Krishnan, 2016 .

Radiomics in glioblastoma: current status, challenges and potential opportunities

Arvind Rao, Dalu Yang, Shivali Narang, 2016 .

Inference for Large Tree-structured Data

Prabhanjan Kambadur, Veerabhadran Baladandayuthapani, Karthik Bharath, 2014, 1404.2910.

A combinatorial radiographic phenotype may stratify patient survival and be associated with invasion and proliferation characteristics in glioblastoma.

Max Wintermark, Daniel L Rubin, Justin S Kirby, 2016, Journal of neurosurgery.

A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers.

Clement Adebamowo, Andre Schultz, Rehan Akbani, 2018, Cancer cell.

PanCancer insights from The Cancer Genome Atlas: the pathologist's perspective

Joel H Saltz, Arvind Rao, Lee Ad Cooper, 2018, The Journal of pathology.

Identification of Histological Correlates of Overall Survival in Lower Grade Gliomas Using a Bag-of-words Paradigm: A Preliminary Analysis Based on Hematoxylin & Eosin Stained Slides from the Lower Grade Glioma Cohort of The Cancer Genome Atlas

Ganesh Rao, Arvind Rao, Erik Sulman, 2017, Journal of pathology informatics.

Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function.

Clifton D Fuller, Michalis Aristophanous, Arvind Rao, 2018, International journal of radiation oncology, biology, physics.

The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis

Laurence E. Court, Zhongxing Liao, Arvind Rao, 2018, Medical physics.

Development of a Predictive Quantitative Contrast Computed Tomography-Based Feature (Radiomics) Profile for Local Recurrence in Oropharyngeal Cancers

Guadalupe Canahuate, Jayashree Kalpathy-Cramer, Bassem Youssef, 2016 .