| Review of structured light in diffuse optical imaging JP Angelo, SJ Chen, M Ochoa, U Sunar, S Gioux, X Intes Journal of biomedical optics 24 (7), 071602-071602, 2019 | 107 | 2019 |
| Net-FLICS: fast quantitative wide-field fluorescence lifetime imaging with compressed sensing–a deep learning approach R Yao, M Ochoa, P Yan, X Intes Light: science & applications 8 (1), 26, 2019 | 83 | 2019 |
| Deep learning in biomedical optics L Tian, B Hunt, MAL Bell, J Yi, JT Smith, M Ochoa, X Intes, NJ Durr Lasers in surgery and medicine 53 (6), 748-775, 2021 | 51 | 2021 |
| Sensitivity of spatially offset Raman spectroscopy (SORS) to subcortical bone tissue G Feng, M Ochoa, JR Maher, HA Awad, AJ Berger Journal of biophotonics 10 (8), 990-996, 2017 | 37 | 2017 |
| Assessing patterns for compressive fluorescence lifetime imaging M Ochoa, Q Pian, R Yao, N Ducros, X Intes Optics letters 43 (18), 4370-4373, 2018 | 33 | 2018 |
| UNMIX-ME: spectral and lifetime fluorescence unmixing via deep learning JT Smith, M Ochoa, X Intes Biomedical Optics Express 11 (7), 3857-3874, 2020 | 29 | 2020 |
| High compression deep learning based single-pixel hyperspectral macroscopic fluorescence lifetime imaging in vivo M Ochoa, A Rudkouskaya, R Yao, P Yan, M Barroso, X Intes Biomedical Optics Express 11 (10), 5401-5424, 2020 | 25 | 2020 |
| Deep learning in macroscopic diffuse optical imaging JT Smith, M Ochoa, D Faulkner, G Haskins, X Intes Journal of Biomedical Optics 27 (2), 020901-020901, 2022 | 23 | 2022 |
| Multiplexed non-invasive tumor imaging of glucose metabolism and receptor-ligand engagement using dark quencher FRET acceptor A Rudkouskaya, N Sinsuebphon, M Ochoa, SJ Chen, JE Mazurkiewicz, ... Theranostics 10 (22), 10309, 2020 | 18 | 2020 |
| Handling negative patterns for fast single-pixel lifetime imaging AL Mur, M Ochoa, JE Cohen, X Intes, N Ducros Molecular-Guided Surgery: Molecules, Devices, and Applications V 10862, 16-25, 2019 | 17 | 2019 |
| Deep compressive macroscopic fluorescence lifetime imaging R Yao, M Ochoa, X Intes, P Yan 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 12 | 2018 |
| Monte Carlo-based data generation for efficient deep learning reconstruction of macroscopic diffuse optical tomography and topography applications NI Nizam, M Ochoa, JT Smith, S Gao, X Intes Journal of Biomedical Optics 27 (8), 083016-083016, 2022 | 11 | 2022 |
| Macroscopic fluorescence lifetime imaging for monitoring of drug–target engagement M Ochoa, A Rudkouskaya, JT Smith, X Intes, M Barroso Biomedical Engineering Technologies: Volume 2, 837-856, 2022 | 11 | 2022 |
| 3D k-space reflectance fluorescence tomography via deep learning NI Nizam, M Ochoa, JT Smith, X Intes Optics letters 47 (6), 1533-1536, 2022 | 8 | 2022 |
| Deep learning-based fusion of widefield diffuse optical tomography and micro-CT structural priors for accurate 3D reconstructions NI Nizam, M Ochoa, JT Smith, X Intes Biomedical Optics Express 14 (3), 1041-1053, 2023 | 6 | 2023 |
| Spectral and lifetime fluorescence unmixing via deep learning JT Smith, M Ochoa, P Yan, X Intes bioRxiv, 745216, 2019 | 6 | 2019 |
| Wide-field diffuse optical tomography using deep learning NI Nizam, M Ochoa, JT Smith, X Intes Optical Tomography and Spectroscopy, OW4D. 7, 2022 | 3 | 2022 |
| Deep Learning Enhanced Hyperspectral Fluorescence Lifetime Imaging M Ochoa, A Rudkouskaya, R Yao, P Yan, M Barroso, X Intes bioRxiv, 2020.01. 06.896092, 2020 | 3 | 2020 |
| Assessment of open-field fluorescence guided surgery systems: implementing a standardized method for characterization and comparison MI Ochoa, A Ruiz, E LaRochelle, M Reed, E Berber, G Poultsides, ... Journal of Biomedical Optics 28 (9), 096007-096007, 2023 | 2 | 2023 |
| Mapping estimates of vascular permeability with a clinical indocyanine green fluorescence imaging system in experimental pancreatic adenocarcinoma tumors MS Reed, M Ochoa, KM Tichauer, A Weichmann, MM Doyley, BW Pogue Journal of Biomedical Optics 28 (7), 076001-076001, 2023 | 2 | 2023 |
Intes XavierProf - Rensselaer Polytechnic InstituteVerified email at rpi.edu
