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Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer.

H. Yoon, A. Ramanathan, F. Alamudun, and G. Tourassi. IWBI, volume 10718 of SPIE Proceedings, page 107181H. SPIE, (2018)

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Analyzing the impact of modeling choices and assumptions in compartmental epidemiological models.Ö. Özmen, J. Nutaro, L. Pullum, and A. Ramanathan. Simulation, 92 (5): 459-472 (2016)QAARM: quasi-anharmonic autoregressive model reveals molecular recognition pathways in ubiquitin.A. Savol, V. Burger, P. Agarwal, A. Ramanathan, and C. Chennubhotla. Bioinformatics ISMB/ECCB, 27 (13): 52-60 (2011)Constellation: A science graph network for scalable data and knowledge discovery in extreme-scale scientific collaborations.S. Vazhkudai, J. Harney, R. Gunasekaran, D. Stansberry, S. Lim, T. Barron, A. Nash, and A. Ramanathan. BigData, page 3052-3061. IEEE Computer Society, (2016)Data-driven efficient network and surveillance-based immunization.Y. Zhang, A. Ramanathan, A. Vullikanti, L. Pullum, and B. Prakash. Knowl. Inf. Syst., 61 (3): 1667-1693 (2019)Scalable deep text comprehension for Cancer surveillance on high-performance computing.J. Qiu, H. Yoon, K. Srivastava, T. Watson, J. Christian, A. Ramanathan, X. Wu, P. Fearn, and G. Tourassi. BMC Bioinformatics, 19-S (18): 99-110 (2018)Adversarial Attacks against AI-driven Experimental Peptide Design Workflows.A. Ramanathan, and S. Jha. XLOOP@SC, page 30-35. IEEE, (2021)EpiSpec: A formal specification language for parameterized agent-based models against epidemiological ground truth.F. Hussain, A. Ramanathan, L. Pullum, and S. Jha. ICCABS, page 1-6. IEEE Computer Society, (2014)Integrating symbolic and statistical methods for testing intelligent systems: Applications to machine learning and computer vision.A. Ramanathan, L. Pullum, F. Hussain, D. Chakrabarty, and S. Jha. DATE, page 786-791. IEEE, (2016)Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports.H. Yoon, A. Ramanathan, and G. Tourassi. INNS Conference on Big Data, volume 529 of Advances in Intelligent Systems and Computing, page 195-204. (2016)High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.A. Clyde, S. Galanie, D. Kneller, H. Ma, Y. Babuji, B. Blaiszik, A. Brace, T. Brettin, K. Chard, R. Chard and 20 other author(s). J. Chem. Inf. Model., 62 (1): 116-128 (2022)

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Disambiguation of "Ramanathan, Arvind"

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Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer.

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Disambiguation of "Ramanathan, Arvind"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer.

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Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer.