| The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans SG Armato III, G McLennan, L Bidaut, MF McNitt‐Gray, CR Meyer, ... Medical physics 38 (2), 915-931, 2011 | 2801 | 2011 |
| Lung image database consortium: developing a resource for the medical imaging research community SG Armato III, G McLennan, MF McNitt-Gray, CR Meyer, D Yankelevitz, ... Radiology 232 (3), 739-748, 2004 | 486 | 2004 |
| Treatment of malignant pleural mesothelioma: American Society of Clinical Oncology clinical practice guideline HL Kindler, N Ismaila, SG Armato III, R Bueno, M Hesdorffer, T Jahan, ... Journal of Clinical Oncology 36 (13), 1343-1373, 2018 | 444 | 2018 |
| Automated lung segmentation for thoracic CT: impact on computer-aided diagnosis1 SG Armato III, WF Sensakovic Academic radiology 11 (9), 1011-1021, 2004 | 422 | 2004 |
| Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low‐dose computed tomography K Suzuki, SG Armato III, F Li, S Sone, K Doi Medical physics 30 (7), 1602-1617, 2003 | 372 | 2003 |
| Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: the ANODE09 study B Van Ginneken, SG Armato III, B de Hoop, ... Medical image analysis 14 (6), 707-722, 2010 | 362 | 2010 |
| Automated detection of lung nodules in CT scans: preliminary results SG Armato III, ML Giger, H MacMahon Medical physics 28 (8), 1552-1561, 2001 | 359 | 2001 |
| The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation MF McNitt-Gray, SG Armato III, CR Meyer, AP Reeves, G McLennan, ... Academic radiology 14 (12), 1464-1474, 2007 | 281 | 2007 |
| Lung texture in serial thoracic computed tomography scans: correlation of radiomics-based features with radiation therapy dose and radiation pneumonitis development A Cunliffe, SG Armato III, R Castillo, N Pham, T Guerrero, HA Al-Hallaq International Journal of Radiation Oncology* Biology* Physics 91 (5), 1048-1056, 2015 | 275 | 2015 |
| Autosegmentation for thoracic radiation treatment planning: a grand challenge at AAPM 2017 J Yang, H Veeraraghavan, SG Armato III, K Farahani, JS Kirby, ... Medical physics 45 (10), 4568-4581, 2018 | 259 | 2018 |
| Multicenter, double-blind, placebo-controlled, randomized phase II trial of gemcitabine/cisplatin plus bevacizumab or placebo in patients with malignant mesothelioma HL Kindler, TG Karrison, DR Gandara, C Lu, LM Krug, JP Stevenson, ... Journal of clinical oncology 30 (20), 2509-2515, 2012 | 249 | 2012 |
| SPIE-AAPM-NCI lung nodule classification challenge dataset SG Armato III, L Hadjiiski, GD Tourassi, K Drukker, ML Giger, F Li, ... (No Title), 2015 | 197 | 2015 |
| PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images SG Armato III, H Huisman, K Drukker, L Hadjiiski, JS Kirby, N Petrick, ... Journal of Medical Imaging 5 (4), 044501-044501, 2018 | 190 | 2018 |
| Evaluation of computer‐aided detection and diagnosis systemsa) N Petrick, B Sahiner, SG Armato III, A Bert, L Correale, S Delsanto, ... Medical physics 40 (8), 087001, 2013 | 179 | 2013 |
| EURACAN/IASLC proposals for updating the histologic classification of pleural mesothelioma: towards a more multidisciplinary approach AG Nicholson, JL Sauter, AK Nowak, HL Kindler, RR Gill, M Remy-Jardin, ... Journal of Thoracic Oncology 15 (1), 29-49, 2020 | 171 | 2020 |
| Automated lung segmentation in digitized posteroanterior chest radiographs SG Armato III, ML Giger, H MacMahon Academic radiology 5 (4), 245-255, 1998 | 138 | 1998 |
| LUNGx Challenge for computerized lung nodule classification SG Armato III, K Drukker, F Li, L Hadjiiski, GD Tourassi, RM Engelmann, ... Journal of Medical Imaging 3 (4), 044506-044506, 2016 | 136 | 2016 |
| Revised modified response evaluation criteria in solid tumors for assessment of response in malignant pleural mesothelioma (version 1.1) SG Armato III, AK Nowak Journal of thoracic oncology 13 (7), 1012-1021, 2018 | 130 | 2018 |
| Mixture of expert 3D massive‐training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography K Suzuki, H Yoshida, J Näppi, SG Armato III, AH Dachman Medical physics 35 (2), 694-703, 2008 | 129 | 2008 |
| The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements AP Reeves, AM Biancardi, TV Apanasovich, CR Meyer, H MacMahon, ... Academic radiology 14 (12), 1475-1485, 2007 | 129 | 2007 |
