| Predicting pulmonary embolism among hospitalized patients with machine learning algorithms L Ryan, J Maharjan, S Mataraso, G Barnes, J Hoffman, Q Mao, J Calvert, ... Pulmonary circulation 12 (1), e12013, 2022 | 17 | 2022 |
| Machine learning determination of applied behavioral analysis treatment plan type J Maharjan, A Garikipati, FA Dinenno, M Ciobanu, G Barnes, E Browning, ... Brain Informatics 10 (1), 7, 2023 | 10 | 2023 |
| Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays J Maharjan, J Calvert, E Pellegrini, A Green-Saxena, J Hoffman, A McCoy, ... Clinical imaging 80, 268-273, 2021 | 7 | 2021 |
| Massive external validation of a machine learning algorithm to predict pulmonary embolism in hospitalized patients J Shen, SC Chetty, S Shokouhi, J Maharjan, Y Chuba, J Calvert, Q Mao Thrombosis Research 216, 14-21, 2022 | 5 | 2022 |
| Early prediction of prostate cancer risk in younger men using polygenic risk scores and electronic health records A Varma, J Maharjan, A Garikipati, M Hurtado, S Shokouhi, Q Mao Cancer Medicine 12 (1), 379-386, 2023 | 3 | 2023 |
| Enriching the study population for ischemic stroke therapeutic trials using a machine learning algorithm J Maharjan, Y Ektefaie, L Ryan, S Mataraso, G Barnes, S Shokouhi, ... Frontiers in Neurology 12, 784250, 2022 | 3 | 2022 |
| Guided ultrasound imaging using a deep regression network J Maharjan, BR Mitchell, VWS Chan, E Kim SPIE Medical Imaging 11319, 2020 | 3 | 2020 |
| Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer’s Disease RP Adelson, A Garikipati, J Maharjan, M Ciobanu, G Barnes, NP Singh, ... Diagnostics 14 (1), 13, 2023 | 2 | 2023 |
| OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models A Garikipati, J Maharjan, NP Singh, L Cyrus, M Sharma, M Ciobanu, ... AAAI 2024 Spring Symposium on Clinical Foundation Models, 2024 | 1 | 2024 |
| Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulation J Maharjan, S Le, A Green-Saxena, M Khattar, J Calvert, E Pellegrini, ... The American Journal of the Medical Sciences 364 (1), 46-52, 2022 | 1 | 2022 |
| Artificial intelligence method for determining therapy recomendation for individuals with neurodevelopmental disorders J Maharjan, A Garikipati, M Ciobanu, F Dinenno, MAO Qingqing US Patent App. 17/955,616, 2024 | | 2024 |
| OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models J Maharjan, A Garikipati, NP Singh, L Cyrus, M Sharma, M Ciobanu, ... arXiv preprint arXiv:2402.19371, 2024 | | 2024 |
| Method for decreasing meltdown incidence and severity in neurodevelopmental disorders M Ciobanu, R Thapa, A Garikipati, J Maharjan, NP Singh, S Thakkar US Patent App. 18/216,358, 2024 | | 2024 |
| False positive analysis of machine-learning based sepsis prediction D Basu, J Maharjan, A Allen, R Thapa, MM Attwood, M Hurtado, Z Iqbal, ... | | 2022 |
| Machine Learning to Predict Long and Short Term Fracture Risk in Postmenopausal Women A Radhachandran, J Maharjan, G Barnes, S Shokouhi, J Hoffman, Q Mao | | 2022 |
| A New Standard for Sepsis Prediction Algorithms: Using Time-Dependent Analysis for Earlier Clinically Relevant Alerts J Maharjan, R Thapa, J Calvert, MM Attwood, S Shokouhi, S Casie Chetty, ... Available at SSRN 4130480, 2022 | | 2022 |
| Multi-Task Learning with Recurrent Neural Networks for ARDS Prediction using only EHR Data: Model Development and Validation Study C Lam, R Thapa, J Maharjan, K Rahmani, CF Tso, N Singh, SC Chetty, ... | | |
Qingqing MaoStealth StartupVerified email at pm.me
