| Federated learning for predicting clinical outcomes in patients with COVID-19 I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ... Nature medicine 27 (10), 1735-1743, 2021 | 437 | 2021 |
| Validation of a smartphone application in the evaluation and treatment of acute stroke in a comprehensive stroke center SCO Martins, G Weiss, AG Almeida, R Brondani, LA Carbonera, ... Stroke 51 (1), 240-246, 2020 | 67 | 2020 |
| Federated Learning used for predicting outcomes in SARS-COV-2 patients M Flores, I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, ... Research Square, 2021 | 47 | 2021 |
| Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study S Ebrahimian, F Homayounieh, MABC Rockenbach, P Putha, T Raj, ... Scientific Reports 11 (1), 858, 2021 | 39 | 2021 |
| Assessing families’ and patients’ attitudes toward brain donation for research purposes in a Brazilian population sample MK Fonseca, E Rodrigues-Neto, ASR Costa, M Rockembach, RS Padilha, ... Cell and Tissue Banking 16, 287-294, 2015 | 17 | 2015 |
| Multicenter assessment of CT pneumonia analysis prototype for predicting disease severity and patient outcome F Homayounieh, MA Bezerra Cavalcanti Rockenbach, S Ebrahimian, ... Journal of Digital Imaging 34, 320-329, 2021 | 12 | 2021 |
| Autosomal recessive spastic ataxia of Charlevoix-Saguenay: a family report from South Brazil D Burguêz, CM Oliveira, MABC Rockenbach, H Fussiger, LM Vedolin, ... Arquivos de Neuro-Psiquiatria 75, 339-344, 2017 | 10 | 2017 |
| Orbital Meningiomas: Meningiomas Orbitários CE da Silva, PE Freitas, ADCB Romero, TM Pereyra, VF Fonseca, ... Jbnc-Jornal Brasileiro De Neurocirurgia 21 (1), 31-38, 2010 | 8 | 2010 |
| e Silva PMC I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ... | 6 | 2021 |
| Breast cancer mammographic diagnosis performance in a public health institution: a retrospective cohort study JMRB Mello, FP Bittelbrunn, MABC Rockenbach, GG May, LM Vedolin, ... Insights into Imaging 8, 581-588, 2017 | 6 | 2017 |
| Development and validation of a deep learning model for prediction of severe outcomes in suspected covid-19 infection V Buch, A Zhong, X Li, MABC Rockenbach, D Wu, H Ren, J Guan, ... arXiv preprint arXiv:2103.11269, 2021 | 5 | 2021 |
| Neurodegenerative changes in the brainstem and olfactory bulb in people older than 50 years old: a descriptive study FH Oliveira, E Rodrigues Neto, MK Fonseca, ASR Costa, ... Arquivos de neuro-psiquiatria 73, 569-577, 2015 | 4 | 2015 |
| Democratizing artificial intelligence in healthcare: A study of model development across two institutions incorporating transfer learning V Gupta, H Roth, V Buch, MABC Rockenbach, RD White, D Yang, O Laur, ... arXiv preprint arXiv:2009.12437, 2020 | 3 | 2020 |
| Automatic detection of decreased ejection fraction and left ventricular hypertrophy on 4D cardiac CTA: use of artificial intelligence with transfer learning to facilitate multi … MABC Rockenbach, V Buch, V Gupta, GK Kotecha, O Laur, BS Erdal, ... Intelligence-Based Medicine 6, 100051, 2022 | 2 | 2022 |
| DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction R Hu, Y Chen, K Kim, MABC Rockenbach, Q Li, H Liu International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Monitoring, predicting and alerting short-term oxygen support needs for patients H Ravishankar, A Patil, R Pardasani, DJ Varelmann, P Sarin, ... US Patent App. 17/559,282, 2023 | | 2023 |
| 1127: EVALUATING AGREEMENT ACROSS CLINICIANS IN PREDICTING OXYGEN REQUIREMENTS FOR CRITICALLY ILL PATIENTS C Burke, J Wollborn, S Sami, D Buric, J Carness, MABC Rockenbach, ... Critical Care Medicine 50 (1), 562, 2022 | | 2022 |
| 169: COMPARING AI AND CLINICIANS IN OXYGENATION DEVICE MANAGEMENT FOR SUSPECTED COVID-19 ICU PATIENTS MABC Rockenbach, D Buric, J Carness, C Burke, J Wollborn, S Sami, ... Critical Care Medicine 50 (1), 68, 2022 | | 2022 |
| Federated Learning for Predicting Clinical Outcomes in COVID-19 Patients I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, AB Costa, ... Nature Medicine, 2021 | | 2021 |
| Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection (preprint) V Buch, A Zhong, X Li, MABC Rockenbach, D Wu, H Ren, J Guan, ... | | 2021 |
Varun BuchMassachusetts General HospitalVerified email at mgh.harvard.edu
