Krishnan Eswaran
Google (United States)(US)
Publications by Year
Research Areas
Wireless Communication Security Techniques, COVID-19 diagnosis using AI, Cooperative Communication and Network Coding, Cellular Automata and Applications, Radiomics and Machine Learning in Medical Imaging
Most-Cited Works
- → Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation(2019)280 cited
- → Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists(2022)68 cited
- → Bits through ARQs: Spectrum Sharing with a Primary Packet System(2007)68 cited
- → Multimodal LLMs for Health Grounded in Individual-Specific Data(2023)55 cited
- → Simplified Transfer Learning for Chest Radiography Models Using Less Data(2022)54 cited
- → Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19(2021)52 cited
- → Zero-Rate Feedback Can Achieve the Empirical Capacity(2010)43 cited
- → Secrecy via sources and channels — A secret key - Secret message rate tradeoff region(2008)40 cited
- → Cognitive Radio Through Primary Control Feedback(2011)27 cited
- → ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders(2023)18 cited