| Prediction of tuberculosis using an automated machine learning platform for models trained on synthetic data HH Rashidi, IH Khan, LT Dang, S Albahra, U Ratan, N Chadderwala, ... Journal of pathology informatics 13, 100172, 2022 | 7 | 2022 |
| Improving early sepsis prediction with multi modal learning F Qin, V Madan, U Ratan, Z Karnin, V Kapoor, P Bhatia, T Kass-Hout arXiv preprint arXiv:2107.11094, 2021 | 7 | 2021 |
| Federated learning on heterogenous data using chest CT EH Lee, B Kelly, E Altinmakas, H Dogan, E Colak, S Fu, O Choudhury, ... arXiv preprint arXiv:2303.13567, 2023 | 1 | 2023 |
| Applied Machine Learning for Healthcare and Life Sciences Using AWS: Transformational AI implementations for biotech, clinical, and healthcare organizations U Ratan Packt Publishing Ltd, 2022 | 1 | 2022 |
| AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT (preprint) EH Lee, B Kelly, E Altinmakas, H Dogan, M Mohammadzadeh, E Colak, ... | | 2023 |
| Multi-omics analysis of renal clear cell carcinoma progression A Guruacharya, JR Golden, D Garrett, D Atnoor, S Srinivasan, U Ratan, ... medRxiv, 2022.11. 21.22282533, 2022 | | 2022 |
| Client-Private Secure Aggregation for Privacy-Preserving Federated Learning P Newton, O Choudhury, B Horne, V Ravipati, D Bhargavi, U Ratan Workshop on Federated Learning: Recent Advances and New Challenges (in …, 2022 | | 2022 |
| The Ability of Image-Language Explainable Models to Resemble Domain Expertise P Werner, A Zapaishchykova, U Ratan arXiv preprint arXiv:2209.09310, 2022 | | 2022 |
| Labelling Human Kinematics Data using Classification Models YS Ujjwal Ratan, Nihir Chadderwala Biology and Medicine 14 (3), 5, 2022 | | 2022 |
| LABELLING HUMAN KINEMATICS DATA USING CLASSIFICATION MODELS Y Shi, N Chadderwala, U Ratan medRxiv, 2022.02. 18.22271206, 2022 | | 2022 |
| Building predictive disease models using Amazon SageMaker with Amazon HealthLake normalized data PB Ujjwal Ratan, Nihir Chadderwala https://aws.amazon.com/blogs/machine-learning/building-predictive-disease …, 2021 | | 2021 |
| Fairness, Explainability, and Privacy in AI/ML Systems KK Ujjwal Ratan Neural Information Processing Systems (NEURIPS) Expo, 2020 | | 2020 |
| Utilizing Multiple Healthcare Data Modalities in Machine Learning Pipelines U Ratan The AI Summit Silicon Valley, 2020 | | 2020 |
| The role of artificial intelligence in clinician efficiency U Ratan Nashville Analytics Summit, 2020 | | 2020 |
| The Role of Artificial Intelligence & Machine Learning in Health Care U Ratan UNT Health Science Population Health Symposium, 2020 | | 2020 |
| Enabling Deep learning for Genomics U Ratan Biocom Big Data Summit, 2018 | | 2018 |
| From ingest to predict: Building an effective ML pipeline U Ratan O’Reilly Artificial Intelligence Conference, 2018 | | 2018 |
| Advancements and challenges in the adoption of AI in Healthcare U Ratan Healthcare Information and Management Systems Society (HIMSS) conference, 2018 | | 2018 |
| Scaling Genomics Pipelines on AWS U Ratan HITLAB Symposium, 2017 | | 2017 |
| Getting Started with Amazon Web Services Bootcamp JH Ujjwal Ratan, Androski Spicer Knowledge Discovery and Data Mining (KDD), 2016 | | 2016 |
