| Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study S Chilamkurthy, R Ghosh, S Tanamala, M Biviji, NG Campeau, ... The Lancet 392 (10162), 2388-2396, 2018 | 774 | 2018 |
| microRNA‐34c is a novel target to treat dementias A Zovoilis, HY Agbemenyah, RC Agis‐Balboa, RM Stilling, D Edbauer, ... The EMBO journal 30 (20), 4299-4308, 2011 | 376 | 2011 |
| Reducing HDAC6 ameliorates cognitive deficits in a mouse model for Alzheimer's disease N Govindarajan, P Rao, S Burkhardt, F Sananbenesi, OM Schlüter, ... EMBO molecular medicine 5 (1), 52-63, 2013 | 333 | 2013 |
| MicroRNAs as biomarkers for CNS disease P Rao, E Benito, A Fischer Frontiers in molecular neuroscience 6, 39, 2013 | 241 | 2013 |
| Machine learning methods improve prognostication, identify clinically distinct phenotypes, and detect heterogeneity in response to therapy in a large cohort of heart failure … T Ahmad, LH Lund, P Rao, R Ghosh, P Warier, B Vaccaro, U Dahlström, ... Journal of the American Heart Association 7 (8), e008081, 2018 | 195 | 2018 |
| Deep learning in chest radiography: detection of findings and presence of change R Singh, MK Kalra, C Nitiwarangkul, JA Patti, F Homayounieh, A Padole, ... PloS one 13 (10), e0204155, 2018 | 188 | 2018 |
| Development and validation of deep learning algorithms for detection of critical findings in head CT scans S Chilamkurthy, R Ghosh, S Tanamala, M Biviji, NG Campeau, ... arXiv preprint arXiv:1803.05854, 2018 | 98 | 2018 |
| A combined miRNA–piRNA signature to detect Alzheimer’s disease G Jain, A Stuendl, P Rao, T Berulava, T Pena Centeno, L Kaurani, ... Translational psychiatry 9 (1), 250, 2019 | 88 | 2019 |
| Predictive abilities of machine learning techniques may be limited by dataset characteristics: insights from the UNOS database PE Miller, S Pawar, B Vaccaro, M McCullough, P Rao, R Ghosh, P Warier, ... Journal of cardiac failure 25 (6), 479-483, 2019 | 62 | 2019 |
| Can artificial intelligence reliably report chest x-rays?: Radiologist validation of an algorithm trained on 2.3 million x-rays P Putha, M Tadepalli, B Reddy, T Raj, JA Chiramal, S Govil, N Sinha, ... arXiv preprint arXiv:1807.07455, 2018 | 43 | 2018 |
| The Burden of Proof studies: assessing the evidence of risk P Zheng, A Afshin, S Biryukov, C Bisignano, M Brauer, D Bryazka, ... Nature Medicine 28 (10), 2038-2044, 2022 | 36 | 2022 |
| Insulin-like growth factor 1 receptor activation promotes mammary gland tumor development by increasing glycolysis and promoting biomass production B Ter Braak, CL Siezen, JS Lee, P Rao, C Voorhoeve, E Ruppin, ... Breast Cancer Research 19, 1-15, 2017 | 33 | 2017 |
| Meta-analysis of polycystic kidney disease expression profiles defines strong involvement of injury repair processes TB Malas, C Formica, WN Leonhard, P Rao, Z Granchi, M Roos, ... American Journal of Physiology-Renal Physiology 312 (4), F806-F817, 2017 | 33 | 2017 |
| Loss of ZBTB24 impairs nonhomologous end-joining and class-switch recombination in patients with ICF syndrome A Helfricht, PE Thijssen, MB Rother, RG Shah, L Du, S Takada, M Rogier, ... Journal of Experimental Medicine 217 (11), e20191688, 2020 | 29 | 2020 |
| International society for extracellular vesicles: first annual meeting, April 17–21, 2012: ISEV-2012 E Araldi, EM Krämer-Albers, EN Hoen, H Peinado, KM Psonka-Antonczyk, ... Journal of extracellular vesicles 1 (1), 19995, 2012 | 23 | 2012 |
| Can artificial intelligence reliably report chest x-rays P Putha, M Tadepalli, B Reddy, T Raj, JA Chiramal, S Govil, N Sinha, ... Radiologist Validation of an Algorithm trained on 2 (3), 2019 | 21 | 2019 |
| Development and validation of deep learning algorithms for detection of critical findings in head CT scans. arXiv 2018 S Chilamkurthy, R Ghosh, S Tanamala, M Biviji, NG Campeau, ... arXiv preprint arXiv:1803.05854, 0 | 19 | |
| Application of deep learning for medical imaging evaluation S Chilamkurhy, R Ghosh, S Tanamala, P Rao, P Warier US Patent 10,475,182, 2019 | 7 | 2019 |
| Application of deep learning for medical imaging evaluation P Putha, M Tadepalli, B Reddy, T Nimmada, P Rao, P Warier US Patent 10,733,727, 2020 | 5 | 2020 |
| Automated Lateral Ventricular and Cranial Vault Volume Measurements in 13,851 Patients Using Deep Learning Algorithms GA Maragkos, AS Filippidis, S Chilamkurthy, MM Salem, S Tanamala, ... World Neurosurgery 148, e363-e373, 2021 | 4* | 2021 |
Rohit GhoshAI Researcher, Qure.aiGeverifieerd e-mailadres voor qure.ai
