| Virtual and augmented reality for biomedical applications M Venkatesan, H Mohan, JR Ryan, CM Schürch, GP Nolan, DH Frakes, ... Cell reports medicine 2 (7), 2021 | 268 | 2021 |
| COVID-19 diagnostics, tools, and prevention M Allam, S Cai, S Ganesh, M Venkatesan, S Doodhwala, Z Song, T Hu, ... Diagnostics 10 (6), 409, 2020 | 120 | 2020 |
| DeBAM: Decoder-based approximate multiplier for low power applications S Nambi, UA Kumar, K Radhakrishnan, M Venkatesan, SE Ahmed IEEE Embedded Systems Letters 13 (4), 174-177, 2020 | 26 | 2020 |
| KRAGEN: a knowledge graph-enhanced RAG framework for biomedical problem solving using large language models N Matsumoto, J Moran, H Choi, ME Hernandez, M Venkatesan, P Wang, ... Bioinformatics 40 (6), btae353, 2024 | 24 | 2024 |
| The alzheimer’s knowledge base: A knowledge graph for alzheimer disease research JD Romano, V Truong, R Kumar, M Venkatesan, BE Graham, Y Hao, ... Journal of Medical Internet Research 26, e46777, 2024 | 12 | 2024 |
| Spatial subcellular organelle networks in single cells M Venkatesan, N Zhang, B Marteau, Y Yajima, NO De Zarate Garcia, ... Scientific Reports 13 (1), 5374, 2023 | 9 | 2023 |
| Automated classification of acute rejection from endomyocardial biopsies F Giuste, M Venkatesan, C Zhao, L Tong, Y Zhu, SR Deshpande, ... Proceedings of the 11th ACM International Conference on Bioinformatics …, 2020 | 8 | 2020 |
| Digital posters for interactive cellular media and bioengineering education M Venkatesan, AF Coskun Communications Biology 2 (1), 455, 2019 | 8 | 2019 |
| SynTwin: A graph-based approach for predicting clinical outcomes using digital twins derived from synthetic patients JH Moore, X Li, JH Chang, NP Tatonetti, D Theodorescu, Y Chen, ... Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 29, 96, 2024 | 5 | 2024 |
| Virtual and augmented reality for biomedical applications. Cell Rep Med 2: 100348 M Venkatesan, H Mohan, JR Ryan, CM Schürch, GP Nolan, DH Frakes, ... | 5 | 2021 |
| Virtual and augmented reality for biomedical applications. Cell Rep Med 2 (7): 100348 M Venkatesan, H Mohan, JR Ryan, CM Schürch, GP Nolan, DH Frakes, ... | 4 | 2021 |
| Biologically enhanced machine learning model to uncover novel gene-drug targets for Alzheimer’s disease A Orlenko, M Venkatesan, L Shen, MD Ritchie, ZP Wang, T Obafemi-Ajayi, ... Biocomputing 2025: Proceedings of the Pacific Symposium, 441-456, 2024 | 2 | 2024 |
| Using machine learning to predict outcomes of patients with blunt traumatic aortic injuries E Lu, J Dubose, M Venkatesan, ZP Wang, BW Starnes, NU Saqib, ... Journal of Trauma and Acute Care Surgery, 10.1097, 2023 | 1 | 2023 |
| Multiplexed protein profiling reveals spatial subcellular signaling networks S Cai, T Hu, M Venkatesan, M Allam, F Schneider, SS Ramalingam, ... Iscience 25 (9), 2022 | 1 | 2022 |
| ESCARGOT: an AI agent leveraging large language models, dynamic graph of thoughts, and biomedical knowledge graphs for enhanced reasoning N Matsumoto, H Choi, J Moran, ME Hernandez, M Venkatesan, X Li, ... Bioinformatics 41 (2), btaf031, 2025 | | 2025 |
| High-definition CODEX for 3D multiplex spatial cell phenotyping T Hu, N Zhang, M Venkatesan, CM Schürch, GP Nolan, AF Coskun Revealing Unchartered Biology with Single Intact Cells, 191-216, 2024 | | 2024 |
| Rapid microfluidic multiplexing of proteins for deciphering spatial organelle networks M Venkatesan Georgia Institute of Technology, 2021 | | 2021 |
| Level of Knowledge Management Practices Adoption in Auto component Small & Medium Sized Enterprises M Venkatesan, S Ahmed KNOWLEDGE GLOBALIZATION CONFERENCE, PUNE, INDIA January 5-7, 2012, 47, 2012 | | 2012 |
