| Medical image segmentation on GPUs–A comprehensive review E Smistad, TL Falch, M Bozorgi, AC Elster, F Lindseth Medical image analysis 20 (1), 1-18, 2015 | 357 | 2015 |
| Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study RD Rudyanto, S Kerkstra, EM Van Rikxoort, C Fetita, PY Brillet, C Lefevre, ... Medical image analysis 18 (7), 1217-1232, 2014 | 182 | 2014 |
| Mpi-a message passing interface standard J Dongarra, D Walker, E Lusk, B Knighten, M Snir, A Geist, S Otto, ... International Journal of High Performance Computing Applications (SAHPC) 8 …, 1994 | 105 | 1994 |
| GPU accelerated segmentation and centerline extraction of tubular structures from medical images E Smistad, AC Elster, F Lindseth International journal of computer assisted radiology and surgery 9, 561-575, 2014 | 79 | 2014 |
| Linear optimization on modern GPUs DG Spampinato, AC Elster 2009 IEEE International Symposium on Parallel & Distributed Processing, 1-8, 2009 | 79 | 2009 |
| Nvidia Hopper GPU and Grace CPU Highlights AC Elster, TA Haughdahl IEEE CiSE 24 (DOI 10.1109/MCSE.2022.3163817), 95-100, 2022 | 76 | 2022 |
| Summary of the First Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE1) DS Katz, SCT Choi, H Lapp, K Maheshwari, F Löffler, M Turk, MD Hanwell, ... Journal of Open Research Software 2 (1), 2014 | 62 | 2014 |
| Machine learning based auto-tuning for enhanced opencl performance portability TL Falch, AC Elster 2015 IEEE International Parallel and Distributed Processing Symposium …, 2015 | 59 | 2015 |
| Fast gpu-based fluid simulations using sph ØE Krog, AC Elster Applied Parallel and Scientific Computing: 10th International Conference …, 2012 | 52 | 2012 |
| A power-measurement methodology for large-scale, high-performance computing TRW Scogland, CP Steffen, T Wilde, F Parent, S Coghlan, N Bates, ... Proceedings of the 5th ACM/SPEC international conference on Performance …, 2014 | 42 | 2014 |
| Machine learning‐based auto‐tuning for enhanced performance portability of OpenCL applications TL Falch, AC Elster Concurrency and Computation: Practice and Experience 29 (8), e4029, 2017 | 41 | 2017 |
| Parallel methods for real-time visualization of snow I Saltvik, AC Elster, HR Nagel Applied Parallel Computing. State of the Art in Scientific Computing …, 2007 | 41 | 2007 |
| Real-time gradient vector flow on GPUs using OpenCL E Smistad, AC Elster, F Lindseth Journal of Real-Time Image Processing, 1-8, 2012 | 40 | 2012 |
| Fast bit-reversal algorithms AC Elster International Conference on Acoustics, Speech, and Signal Processing,, 1099-1102, 1989 | 38 | 1989 |
| A CORDIC Processor Array for the SVD of a Complex Matrix JR Cavallaro, AC Elster SVD and Signal Processing II (Algorithms, Analysis and Applications), 227-239, 1991 | 36 | 1991 |
| CLOUDLIGHTNING: A Framework for a Self-Organising and SelfManaging Heterogeneous Cloud T Lynn, H Xiong, D Dong, B Momani, G Gravvanis, CF Papadopoulos, ... 6th International Conference on Cloud Computing and Services Science, CLOSER …, 2016 | 35 | 2016 |
| Real-Time Ray Tracing Using Nvidia OptiX. H Ludvigsen, AC Elster Eurographics (Short Papers), 65-68, 2010 | 33 | 2010 |
| Population Dynamics P Systems on CUDA M Martínez-del-Amor, I Pérez-Hurtado, A Gastalver-Rubio, AC Elster, ... Computational Methods in Systems Biology, 247-266, 2012 | 32 | 2012 |
| PARA 2008 B Allan, O Anshus, DA Bader, A Bencini, X Cai, R Ciegis, JC Cunha, ... Euripides: Helen, 0 | 27 | |
| Register caching for stencil computations on GPUs TL Falch, AC Elster 2014 16th International Symposium on Symbolic and Numeric Algorithms for …, 2014 | 24 | 2014 |
Erik SmistadNorwegian University of Science and Technology and SINTEF Medical image analysisntnu.no의 이메일 확인됨
