| Supervised machine-learning predictive analytics for prediction of postinduction hypotension S Kendale, P Kulkarni, AD Rosenberg, J Wang Anesthesiology 129 (4), 675-688, 2018 | 258 | 2018 |
| Deep learning based on standard H&E images of primary melanoma tumors identifies patients at risk for visceral recurrence and death Clinical Cancer Research, 0 | 113* | |
| Modern views of machine learning for precision psychiatry ZS Chen, IR Galatzer-Levy, B Bigio, C Nasca, Y Zhang Patterns 3 (11), 2022 | 94 | 2022 |
| Sleep oscillation-specific associations with Alzheimer’s disease CSF biomarkers: novel roles for sleep spindles and tau K Kam, A Parekh, RA Sharma, A Andrade, M Lewin, B Castillo, OM Bubu, ... Molecular neurodegeneration 14, 1-12, 2019 | 86 | 2019 |
| Automatic number plate recognition (anpr) system for indian conditions P Kulkarni, A Khatri, P Banga, K Shah 2009 19th international conference Radioelektronika, 111-114, 2009 | 86 | 2009 |
| A deep learning approach for real-time detection of sleep spindles PM Kulkarni, Z Xiao, EJ Robinson, AS Jami, J Zhang, H Zhou, SE Henin, ... Journal of neural engineering 16 (3), 036004, 2019 | 71 | 2019 |
| Cortical Pain Processing in the Rat Anterior Cingulate Cortex and Primary Somatosensory Cortex ZSC hengdong Xiao, Erik Martinez, Prathamesh M Kulkarni, Qiaosheng Zhang ... Frontiers Cellular Neuroscience, 2019 | 62 | 2019 |
| Optical character recognition system for seven segment display images of measuring instruments RP Ghugardare, SP Narote, P Mukherji, PM Kulkarni TENCON 2009-2009 IEEE Region 10 Conference, 1-6, 2009 | 44 | 2009 |
| Quantitative 3-D analysis of GFAP labeled astrocytes from fluorescence confocal images PM Kulkarni, E Barton, M Savelonas, R Padmanabhan, Y Lu, K Trett, ... Journal of neuroscience methods 246, 38-51, 2015 | 38 | 2015 |
| Local field potential decoding of the onset and intensity of acute pain in rats Q Zhang, Z Xiao, C Huang, S Hu, P Kulkarni, E Martinez, AP Tong, A Garg, ... Scientific Reports 8 (1), 8299, 2018 | 35 | 2018 |
| Utilizing machine learning on internet search activity to support the diagnostic process and relapse detection in young individuals with early psychosis: feasibility study ML Birnbaum, PP Kulkarni, A Van Meter, V Chen, AF Rizvi, E Arenare, ... JMIR Mental Health 7 (9), e19348, 2020 | 23 | 2020 |
| A feature based approach for localization of Indian number plates P Kulkarni, A Khatri, P Banga, K Shah 2009 IEEE International Conference on Electro/Information Technology, 157-162, 2009 | 23 | 2009 |
| Algorithms for improved 3-D reconstruction of live mammalian embryo vasculature from optical coherence tomography data PM Kulkarni, N Rey-Villamizar, A Merouane, N Sudheendran, S Wang, ... Quantitative Imaging in Medicine and Surgery 5 (1), 125, 2015 | 18 | 2015 |
| Sleep spindles as a diagnostic and therapeutic target for chronic pain B Caravan, L Hu, D Veyg, P Kulkarni, Q Zhang, ZS Chen, J Wang Molecular pain 16, 1744806920902350, 2020 | 17 | 2020 |
| Binge alcohol alters exercise-driven neuroplasticity EA Barton, Y Lu, M Megjhani, ME Maynard, PM Kulkarni, B Roysam, ... Neuroscience 343, 165-173, 2017 | 14 | 2017 |
| A statistical model of retinal optical coherence tomography image data P Kulkarni, D Lozano, G Zouridakis, M Twa 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 11 | 2011 |
| Content recommendation systems in web-based mental health care: real-world application and formative evaluation A Chaturvedi, B Aylward, S Shah, G Graziani, J Zhang, B Manuel, ... JMIR formative research 7 (1), e38831, 2023 | 10 | 2023 |
| Galatzer-Levy IR, Bigio B, Nasca C, Zhang Y ZS Chen, P Kulkarni Modern views of machine learning for precision psychiatry. Patterns 3 (11 …, 2022 | 10 | 2022 |
| Prediction of distant melanoma recurrence from primary tumor digital H&E images using deep learning. E Robinson, PM Kulkarni, JS Pradhan, RD Gartrell, C Yang, EM Rizk, ... Journal of Clinical Oncology 37 (15_suppl), 9577-9577, 2019 | 6 | 2019 |
| Ashish Khatri, Prateek Banga, Kushal Shah,” Automatic Number Plate Recognition (ANPR) System for Indian conditions” P Kulkarni IEEE Transactions, 2009 | 6 | 2009 |
Badrinath Roysam, FIEEE, FAIMBEECE Department, University of HoustonPreverjeni e-poštni naslov na uh.edu