Optimization of response classification criteria for patients with malignant pleural mesothelioma, a validation study von Buikhuisen, W.A., Qayyum, F., Armato, S.G., Baas, P.

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Automated lung segmentation for thoracic CT impact on computer-aided diagnosis von Armato, 3rd, Samuel G, Sensakovic, William F

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Disease volumes as a marker for patient response in malignant pleural mesothelioma von Labby, Z.E., Nowak, A.K., Dignam, J.J., Straus, C., Kindler, H.L., Armato, S.G.

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Automated detection of lung nodules in CT scans: Preliminary results von Armato, Samuel G., Giger, Maryellen L., MacMahon, Heber

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The Reference Image Database to Evaluate Response to Therapy in Lung Cancer (RIDER) Project: A Resource for the Development of Change‐Analysis Software von Armato, SG, Meyer, CR, McNitt‐Gray, MF, McLennan, G, Reeves, AP, Croft, BY, Clarke, LP

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Vessel tree reconstruction in thoracic CT scans with application to nodule detection von Agam, G., Armato, S.G., Changhua Wu

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Computerized detection of pulmonary nodules on CT scans von Armato, 3rd, S G, Giger, M L, Moran, C J, Blackburn, J T, Doi, K, MacMahon, H

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TU-FG-207A-02: LungX - Lessons Learned and Key Results von Armato, S.

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MO-A-209-01: AAPM Journal Finances: Facts, Figures, and Fundamentals von Armato, S.

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WE‐F‐211‐01: The Evolving Landscape of Scientific Publishing von Armato, S, Hendee, W, Marshall, C, Curran, B

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SU‐C‐220‐03: Texture‐Based Identification of Pathologic Change on Temporally Subtracted Radiographic Chest Images von Armato, S, Lee, M, Yu, G, MacMahon, H

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WE‐C‐103‐09: Investigation of Demons Deformable Registration‐Based Methods to Measure Lung CT Texture Change Over Time von Cunliffe, A, Armato, S, Fei, X, Tuohy, R, Al‐Hallaq, H

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SU‐E‐E‐03: Ethics and Professionalism Education in Medical Physics: A Needs Assessment Study von Ozturk, N, Armato, S, Giger, M L, Serago, C, Ross, L F

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TU‐A‐218‐05: Evaluation of Image Registration Using Landmark Matching and Texture Analysis von Ludwig, M, Cunliffe, A, Al‐Hallaq, H, Armato, S

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SU‐E‐J‐96: Prognostic Value of Automatically Segmented Lung Volumes during Chemotherapy for Patients with Mesothelioma von Labby, Z, Sensakovic, W, Nowak, A, Kindler, H, Armato, S

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SU‐E‐I‐03: Evaluation of CT Texture Feature Changes Following Deformable Lung Registration von Cunliffe, A, Al‐Hallaq, H, Labby, Z, Pelizzari, C, Sensakovic, W, Armato, S

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SU‐E‐J‐93: Perfusion CT and Tumor Response for Patients with Mesothelioma von Labby, Z, Sensakovic, W, Straus, C, Shouldis, J, Kindler, H, Armato, S

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WE‐B‐201B‐06: Characterization of Mesothelioma and Tissues Present in Contrast‐Enhanced Chest CT Scans von Corson, N, Sensakovic, W, Straus, C, Starkey, A, Armato, S

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WE‐B‐201B‐02: The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Public Database of CT Scans for Lung Nodule Analysis von Armato, S, McLennan, G, McNitt‐Gray, M, Meyer, C, Reeves, A, Bidaut, L, Zhao, B, Croft, B, Clarke, L

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SU‐GG‐I‐87: Inconsistencies in Discrete Space and Continuous Space Lesion Boundary and Area Definitions von Sensakovic, W, Armato, S, Starkey, A, Roberts, R

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