| Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms L Yu, F Nina-Paravecino, D Kaeli, Q Fang Journal of biomedical optics 23 (1), 010504-010504, 2018 | 102 | 2018 |
| Efficient algorithms for device placement of dnn graph operators JM Tarnawski, A Phanishayee, N Devanur, D Mahajan, ... Advances in Neural Information Processing Systems 33, 15451-15463, 2020 | 56 | 2020 |
| Handbook of large-scale distributed computing in smart healthcare SU Khan, AY Zomaya, A Abbas Springer, 2017 | 49 | 2017 |
| Nupar: A benchmark suite for modern gpu architectures Y Ukidave, FN Paravecino, L Yu, C Kalra, A Momeni, Z Chen, N Materise, ... Proceedings of the 6th ACM/SPEC International Conference on Performance …, 2015 | 43 | 2015 |
| Accelerated connected component labeling using cuda framework F Nina Paravecino, D Kaeli Computer Vision and Graphics: International Conference, ICCVG 2014, Warsaw …, 2014 | 17 | 2014 |
| Exploring the features of OpenCL 2.0 S Mukherjee, X Gong, L Yu, C McCardwell, Y Ukidave, T Dao, ... Proceedings of the 3rd International Workshop on OpenCL, 1-5, 2015 | 16 | 2015 |
| Three dimensional position estimation mechanism J Hall, RB Brufau, FN Paravecino, D Salas US Patent 10,825,197, 2020 | 10 | 2020 |
| Spherical harmonics as a shape descriptor for hyperspectral image classification F Nina-Paravecino, V Manian Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2010 | 8 | 2010 |
| Smart point cloud reconstruction of objects in visual scenes in computing environments BC Lucas, FN Paravecino US Patent 11,055,902, 2021 | 6 | 2021 |
| A fast level-set segmentation algorithm for image processing designed for parallel architectures J Gutierrez, F Nina-Paravecino, D Kaeli 2016 6th Workshop on Irregular Applications: Architecture and Algorithms …, 2016 | 6 | 2016 |
| Characterization and exploitation of nested parallelism and concurrent kernel execution to accelerate high performance applications FN Paravecino Northeastern University, 2017 | 3 | 2017 |
| High-performance monte carlo simulations for photon migration and applications in optical brain functional imaging F Nina-Paravecino, L Yu, Q Fang, D Kaeli Handbook of Large-Scale Distributed Computing in Smart Healthcare, 67-85, 2017 | 2 | 2017 |
| PORTABLE PERFORMANCE FOR MONTE CARLO SIMULATION OF PHOTON MIGRATION IN 3D TURBID MEDIA FOR SINGLE AND MULTIPLE GPUS F Nina-Paravecino, L Yu, Q Fang, D Kaeli | 2 | 2016 |
| Training masked language models based on partial sequences of tokens A Wagner, T Mitra, FN Paravecino US Patent App. 17/334,684, 2022 | 1 | 2022 |
| Pose synthesis in unseen human poses FN Paravecino, J Hall, RB Brufau US Patent 11,334,975, 2022 | 1 | 2022 |
| Pose synthesis in unseen human poses FN Paravecino, J Hall, RB Brufau US Patent 10,949,960, 2021 | 1 | 2021 |
| Fast monte carlo photon transport simulations for heterogeneous computing systems L Yu, F Nina-Paravecino, D Kaeli, Q Fang Microscopy Histopathology and Analytics, JTh3A. 38, 2018 | 1 | 2018 |
| Computer Vision and Graphics: International Conference, ICCVG 2014, Warsaw, Poland, September 15-17, 2014. Proceedings LJ Chmielewski, R Kozera, BS Shin, K Wojciechowski International Conference on Computer Vision and Graphics, 2014 | 1 | 2014 |
| Selective data structure encoding for deep neural network training FN Paravecino, A Phanishayee, A Mehrabi US Patent App. 17/362,751, 2022 | | 2022 |
| Introduction to the Minitrack on Systems and Applications of Video Analytics F Nina-Paravecino, JP Munoz | | 2021 |
David R. KaeliDistinguished Professor of ECE, Northeastern UniversityVerified email at ece.neu.edu
