Venugopalan, Subhashini

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Gulshan, V., Peng, L., Coram, M., Stumpe, M. C., Wu, D., Narayanaswamy, A., Venugopalan, S., Widner, K., Madams, T., Cuadros, J., et al. (2016) · JAMA

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 7,697

Long-term recurrent convolutional networks for visual recognition and description

Donahue, J., Hendricks, L. A., Guadarrama, S., Rohrbach, M., Venugopalan, S., Darrell, T., & Saenko, K. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMultimodal Machine Learning Applications

Cited by 5,228

Long-Term Recurrent Convolutional Networks for Visual Recognition and Description

Donahue, J., Hendricks, L. A., Rohrbach, M., Venugopalan, S., Guadarrama, S., Saenko, K., & Darrell, T. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 1,547

Detecting Cancer Metastases on Gigapixel Pathology Images

Liu, Y., Gadepalli, K., Norouzi, M., Dahl, G. E., Kohlberger, T., Boyko, A., Venugopalan, S., Timofeev, A., Nelson, P. Q., Corrado, G. S., et al. (2017) · arXiv

AI in cancer detectionCell Image Analysis Techniques

Cited by 506

Detection of anaemia from retinal fundus images via deep learning

Mitani, A., Huang, A., Venugopalan, S., Corrado, G. S., Peng, L., Webster, D. R., Hammel, N., Liu, Y., & Varadarajan, A. V. (2019) · Nature Biomedical Engineering

Retinal Imaging and AnalysisArtificial Intelligence in Healthcare

Cited by 230

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

Varadarajan, A. V., Bavishi, P., Ruamviboonsuk, P., Chotcomwongse, P., Venugopalan, S., Narayanaswamy, A., Cuadros, J., Kanai, K., Bresnick, G., Tadarati, M., et al. (2020) · Nature Communications

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 139

A Design Space for Intelligent and Interactive Writing Assistants

Lee, M., Gero, K. I., Chung, J. J. Y., Shum, S. B., Raheja, V., Shen, H., Venugopalan, S., Wambsganss, T., Zhou, D., Alghamdi, E. A., et al. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 136

Topic based classification and pattern identification in patents

Venugopalan, S., & Rai, V. (2015) · Technological Forecasting and Social Change

Intellectual Property and PatentsComputational and Text Analysis Methods

Cited by 116

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Humanity's Last Exam

Phan, L., Gatti, A., Han, Z., Li, N., Hu, J., Zhang, H., Zhang, C. B. C., Shaaban, M., Ling, J., Shi, S., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 65

Applying Deep Neural Network Analysis to High-Content Image-Based Assays

Yang, S. J., Lipnick, S. L., Makhortova, N. R., Venugopalan, S., Fan, M., Armstrong, Z., Schlaeger, T. M., Deng, L., Chung, W. K., O’Callaghan, L., et al. (2019) · SLAS DISCOVERY

Cell Image Analysis TechniquesSingle-cell and spatial transcriptomics

Cited by 36

Quantum many-body physics calculations with large language models

Pan, H., Mudur, N., Taranto, W., Tikhanovskaya, M., Venugopalan, S., Bahri, Y., Brenner, M. P., & Kim, E.-A. (2025) · Communications Physics

Artificial Intelligence ApplicationsMachine Learning in Materials Science

Cited by 15

Context-Aware Abbreviation Expansion Using Large Language Models

Cai, S., Venugopalan, S., Tomanek, K., Narayanan, A., Morris, M. R., & Brenner, M. P. (2022) · arXiv

Assistive Technology in Communication and MobilitySpeech and dialogue systems

Cited by 4