| Towards deep learning using tensorflow lite on risc-v MS Louis, Z Azad, L Delshadtehrani, S Gupta, P Warden, VJ Reddi, ... Third Workshop on Computer Architecture Research with RISC-V (CARRV) 1, 6, 2019 | 61 | 2019 |
| Profiling dnn workloads on a volta-based dgx-1 system SA Mojumder, MS Louis, Y Sun, AK Ziabari, JL Abellán, J Kim, D Kaeli, ... 2018 IEEE International Symposium on Workload Characterization (IISWC), 122-133, 2018 | 49 | 2018 |
| Puppeteer: A random forest based manager for hardware prefetchers across the memory hierarchy F Eris, M Louis, K Eris, J Abellan, A Joshi ACM Transactions on Architecture and Code Optimization 20 (1), 1-25, 2022 | 6 | 2022 |
| Using machine learning techniques for identification of chronic traumatic encephalopathy related spectroscopic biomarkers MS Louis, M Alosco, B Rowland, H Liao, J Wang, I Koerte, M Shenton, ... 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-5, 2017 | 6 | 2017 |
| An end-to-end RISC-V solution for ML on the edge using in-pipeline support Z Azad, MS Louis, L Delshadtehrani, A Ducimo, S Gupta, P Warden, ... Boston area Architecture (BARC) Workshop, 2020 | 5 | 2020 |
| MRSDB: a scalable multisite data library for clinical and machine learning applications of magnetic resonance spectroscopy SH Jiang, E Coello, MS Louis, KM Breedlove, AP Lin Proceedings of the 29th Annual Meeting of ISMRM, Vancouver, British Columbia …, 2021 | 2 | 2021 |
| Field of groves: an energy-efficient random forest Z Takhirov, J Wang, MS Louis, V Saligrama, A Joshi arXiv preprint arXiv:1704.02978, 2017 | 2 | 2017 |
| Quantification of non-water-suppressed proton spectroscopy using deep neural networks MS Louis, E Coello, H Liao, A Joshi, A Lin Proceedings of the Virtual 28th Annual Meeting of ISMRM 1298, 2021 | 1 | 2021 |
| Estimation of Brain Tissue Composition and Voxel Location in MR Spectroscopy Using Neural Networks E Coello, MF Charney, TC Starr, H Liao, M Louis, AP Lin ISMRM, 2019 | 1 | 2019 |
| Biomarkers for CTE diagnosis in retired NFL player using Machine learning M Louis, M Alosco, B Rowland, H Liao, J Wang, A Joshi, R Stern, A Lin Biomarkers 11, 8, 2017 | 1 | 2017 |
| Machine Learning for Magnetic Resonance Spectroscopy: Modeling in the Preclinical Development Process MS Louis Boston University, 2022 | | 2022 |
| The Effect of Differences in MRS Parameters on Data Harmonization of Normative Data MS Louis, HV Liao, A Joshi, A Lin | | |
| Using Machine Learning to Identify Metabolite Spectral Patterns that Reflect Outcome after Cardiac Arrest MS Louis, HV Liao, R Singh, A Joshi, JW Lee, A Lin | | |
| Standard Frame of Reference for the Identification of Metabolic Phenotypes of Brain Tumors using Single Voxel MR Spectroscopy E Coello, V Sanchez, M Louis, H Liao, S Jiang, W Zhao, KM Breedlove, ... | | |
| Quantification of Unsuppressed Water Spectrum using Autoencoder with Feature Fusion MS Louis, E Coello, H Liao, A Joshi, AP Lin | | |
| Compression of Multivoxel Spectroscopic Data via Visualization of Grey and White Matter Contributions to Metabolite Concentrations W Zhao, E Coello, MS Louis, K Breedlove, A Tal, A Lin | | |
| Novel methodology for processing, quality assessment, and artifact mitigation of raw 2D Correlation Spectroscopy data LJ Mariano, MS Louis, B Rowland, H Liao, K Heaton, J Irvine, AP Lin | | |
| Evaluation of Volta-based DGX-1 System Using DNN Workloads SA Mojumder, MS Louis, Y Sun, AK Ziabari, JL Abellán, J Kim, D Kaeli, ... | | |
| Neural Networks as Function Primitives: Software/Hardware Support with X-FILES/DANA S Eldridge, T Unger, MS Louis, J Appavoo, A Joshi, A Waterland, ... | | |
