Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1938 | 2018 |
Laser-induced thermal therapy for tumor ablation RJ Stafford, D Fuentes, AA Elliott, JS Weinberg, K Ahrar Critical Reviews™ in Biomedical Engineering 38 (1), 2010 | 243 | 2010 |
Role of Wnt/β-catenin signaling in hepatocellular carcinoma, pathogenesis, and clinical significance AM Khalaf, D Fuentes, AI Morshid, MR Burke, AO Kaseb, M Hassan, ... Journal of hepatocellular carcinoma, 61-73, 2018 | 215 | 2018 |
A reference dataset for deformable image registration spatial accuracy evaluation using the COPDgene study archive R Castillo, E Castillo, D Fuentes, M Ahmad, AM Wood, MS Ludwig, ... Physics in Medicine & Biology 58 (9), 2861, 2013 | 146 | 2013 |
A machine learning model to predict hepatocellular carcinoma response to transcatheter arterial chemoembolization A Morshid, KM Elsayes, AM Khalaf, MM Elmohr, J Yu, AO Kaseb, ... Radiology: Artificial Intelligence 1 (5), e180021, 2019 | 103 | 2019 |
Kinetic Modeling and Constrained Reconstruction of Hyperpolarized [1-13C]-Pyruvate Offers Improved Metabolic Imaging of Tumors JA Bankson, CM Walker, MS Ramirez, W Stefan, D Fuentes, ME Merritt, ... Cancer research 75 (22), 4708-4717, 2015 | 102 | 2015 |
Toward predictive multiscale modeling of vascular tumor growth: computational and experimental oncology for tumor prediction JT Oden, EABF Lima, RC Almeida, Y Feng, MN Rylander, D Fuentes, ... Archives of Computational Methods in Engineering 23, 735-779, 2016 | 100 | 2016 |
Lung tumor segmentation methods: impact on the uncertainty of radiomics features for non-small cell lung cancer CA Owens, CB Peterson, C Tang, EJ Koay, W Yu, DS Mackin, J Li, ... PLoS One 13 (10), e0205003, 2018 | 88 | 2018 |
Nanoshell-mediated laser surgery simulation for prostate cancer treatment Y Feng, D Fuentes, A Hawkins, J Bass, MN Rylander, A Elliott, A Shetty, ... Engineering with computers 25, 3-13, 2009 | 86 | 2009 |
Computational modeling and real-time control of patient-specific laser treatment of cancer D Fuentes, JT Oden, KR Diller, JD Hazle, A Elliott, A Shetty, RJ Stafford Annals of biomedical engineering 37, 763-782, 2009 | 68 | 2009 |
Robust phase unwrapping for MR temperature imaging using a magnitude‐sorted list, multi‐clustering algorithm F Maier, D Fuentes, JS Weinberg, JD Hazle, RJ Stafford Magnetic resonance in medicine 73 (4), 1662-1668, 2015 | 63 | 2015 |
Model-based planning and real-time predictive control for laser-induced thermal therapy Y Feng, D Fuentes International Journal of Hyperthermia 27 (8), 751-761, 2011 | 63 | 2011 |
Guiding the first biopsy in glioma patients using estimated Ki-67 maps derived from MRI: conventional versus advanced imaging EDH Gates, JS Lin, JS Weinberg, J Hamilton, SS Prabhu, JD Hazle, ... Neuro-oncology 21 (4), 527-536, 2019 | 57 | 2019 |
Dynamic data‐driven finite element models for laser treatment of cancer JT Oden, KR Diller, C Bajaj, JC Browne, J Hazle, I Babuška, J Bass, ... Numerical Methods for Partial Differential Equations: An International …, 2007 | 56 | 2007 |
Machine learning-based texture analysis for differentiation of large adrenal cortical tumours on CT MM Elmohr, D Fuentes, MA Habra, PR Bhosale, AA Qayyum, E Gates, ... Clinical radiology 74 (10), 818. e1-818. e7, 2019 | 49 | 2019 |
Mechanism-based modeling of tumor growth and treatment response constrained by multiparametric imaging data DA Hormuth, AM Jarrett, EABF Lima, MT McKenna, DT Fuentes, ... JCO clinical cancer informatics 3, 1-10, 2019 | 44 | 2019 |
Predictors of local control of brain metastasis treated with laser interstitial thermal therapy DC de Almeida Bastos, G Rao, ICG Oliva, JM Loree, DT Fuentes, ... Neurosurgery 87 (1), 112-122, 2020 | 38 | 2020 |
Volumetric response of progressing post-SRS lesions treated with laser interstitial thermal therapy VB Beechar, SS Prabhu, D Bastos, JS Weinberg, RJ Stafford, D Fuentes, ... Journal of Neuro-oncology 137, 57-65, 2018 | 38 | 2018 |
Artificial intelligence in diagnostic radiology: where do we stand, challenges, and opportunities AW Moawad, DT Fuentes, MG ElBanan, AS Shalaby, J Guccione, ... Journal of computer assisted tomography 46 (1), 78-90, 2022 | 37 | 2022 |
Kalman filtered MR temperature imaging for laser induced thermal therapies D Fuentes, J Yung, JD Hazle, JS Weinberg, RJ Stafford IEEE transactions on medical imaging 31 (4), 984-994, 2011 | 35 | 2011 |