Publications of Jean-Paul Charbonnier
2024
Papers in international journals
- L. Boulogne, J. Charbonnier, C. Jacobs, E. van der Heijden and B. van Ginneken, "Estimating lung function from computed tomography at the patient and lobe level using machine learning", Medical Physics, 2024;51:2834-2845.
- W. Xie, C. Jacobs, J. Charbonnier and B. van Ginneken, "Structure and position-aware graph neural network for airway labeling", Medical Image Analysis, 2024;97:103286.
2023
Papers in international journals
- W. Xie, C. Jacobs, J. Charbonnier and B. van Ginneken, "Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients", Medical Image Analysis, 2023;86:102771.
- W. Xie, C. Jacobs, J. Charbonnier, D. Slebos and B. van Ginneken, "Emphysema subtyping on thoracic computed tomography scans using deep neural networks", Scientific Reports, 2023;13:14147.
2021
Papers in international journals
- C. Pistenmaa, P. Nardelli, S. Ash, C. Come, A. Diaz, F. Rahaghi, R. Barr, K. Young, G. Kinney, J. Simmons, R. Wade, J. Wells, J. Hokanson, G. Washko, R. José San Estépar, J. Crapo, E. Silverman, B. Make, E. Regan, T. Beaty, P. Castaldi, M. Cho, D. DeMeo, A. El Boueiz, M. Foreman, A. Ghosh, L. Hayden, C. Hersh, J. Hetmanski, B. Hobbs, J. Hokanson, W. Kim, N. Laird, C. Lange, S. Lutz, M. McDonald, D. Prokopenko, M. Moll, J. Morrow, D. Qiao, E. Regan, A. Saferali, P. Sakornsakolpat, E. Silverman, E. Wan, J. Yun, J. Centeno, J. Charbonnier, H. Coxson, C. Galban, M. Han, E. Hoffman, S. Humphries, F. Jacobson, P. Judy, E. Kazerooni, A. Kluiber, D. Lynch, P. Nardelli, J. Newell, A. Notary, A. Oh, E. Regan, J. Ross, R. Jose San Estepar, J. Schroeder, J. Sieren, B. Stoel, J. Tschirren, E. Van Beek, B. Ginneken, E. van Rikxoort, G. Sanchez- Ferrero, L. Veitel, G. Washko, C. Wilson, R. Jensen, D. Everett, J. Crooks, K. Pratte, M. Strand, C. Wilson, J. Hokanson, E. Austin, G. Kinney, S. Lutz, K. Young, S. Bhatt, J. Bon, A. Diaz, M. Han, B. Make, S. Murray, E. Regan, X. Soler, C. Wilson, R. Bowler, K. Kechris, F. Banaei-Kashani, J. Curtis, P. Pernicano, N. Hanania, M. Atik, A. Boriek, K. Guntupalli, E. Guy, A. Parulekar, D. DeMeo, C. Hersh, F. Jacobson, G. Washko, R. Barr, J. Austin, B. D'Souza, B. Thomashow, N. MacIntyre, H. McAdams, L. Washington, C. McEvoy, J. Tashjian, R. Wise, R. Brown, N. Hansel, K. Horton, A. Lambert, N. Putcha, R. Casaburi, A. Adami, M. Budoff, H. Fischer, J. Porszasz, H. Rossiter, W. Stringer, A. Sharafkhaneh, C. Lan, C. Wendt, B. Bell, K. Kunisaki, E. Flenaugh, H. Gebrekristos, M. Ponce, S. Terpenning, G. Westney, R. Bowler, D. Lynch, R. Rosiello, D. Pace, G. Criner, D. Ciccolella, F. Cordova, C. Dass, G. D'Alonzo, P. Desai, M. Jacobs, S. Kelsen, V. Kim, A. Mamary, N. Marchetti, A. Satti, K. Shenoy, R. Steiner, A. Swift, I. Swift, M. Vega-Sanchez, M. Dransfield, W. Bailey, S. Bhatt, A. Iyer, H. Nath, J. Wells, D. Conrad, X. Soler, A. Yen, A. Comellas, K. Hoth, J. Newell, B. Thompson, M. Han, E. Kazerooni, W. Labaki, C. Galban, D. Vummidi, J. Billings, A. Begnaud, T. Allen, F. Sciurba, J. Bon, D. Chandra and J. Weissfeld, "Pulmonary Arterial Pruning and Longitudinal Change in Percent Emphysema and Lung Function", Chest, 2021;160:470-480.
- N. Lessmann, C. Sánchez, L. Beenen, L. Boulogne, M. Brink, E. Calli, J. Charbonnier, T. Dofferhoff, W. van Everdingen, P. Gerke, B. Geurts, H. Gietema, M. Groeneveld, L. van Harten, N. Hendrix, W. Hendrix, H. Huisman, I. Isgum, C. Jacobs, R. Kluge, M. Kok, J. Krdzalic, B. Lassen-Schmidt, K. van Leeuwen, J. Meakin, M. Overkamp, T. van Rees Vellinga, E. van Rikxoort, R. Samperna, C. Schaefer-Prokop, S. Schalekamp, E. Scholten, C. Sital, L. Stöger, J. Teuwen, K. Vaidhya Venkadesh, C. de Vente, M. Vermaat, W. Xie, B. de Wilde, M. Prokop and B. van Ginneken, "Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence", Radiology, 2021;298(1):E18-E28.
2020
Papers in international journals
- W. Xie, C. Jacobs, J. Charbonnier and B. van Ginneken, "Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans", IEEE Transactions on Medical Imaging, 2020;39(8):2664-2675.
2019
Papers in international journals
- J. Charbonnier, E. Pompe, C. Moore, S. Humphries, B. van Ginneken, B. Make, E. Regan, J. Crapo, E. van Rikxoort and D. Lynch, "Airway wall thickening on CT: Relation to smoking status and severity of COPD", Respiratory Medicine, 2019;146:36-41.
2018
Papers in international journals
- J. Charbonnier, K. Chung, E. Scholten, E. van Rikxoort, C. Jacobs, N. Sverzellati, M. Silva, U. Pastorino, B. van Ginneken and F. Ciompi, "Automatic segmentation of the solid core and enclosed vessels in subsolid pulmonary nodules", Scientific Reports, 2018;8(1):646.
Abstracts
- A. Schreuder, C. Schaefer-Prokop, E. Scholten, D. Lynch, J. Charbonnier and C. Jacobs, "Perifissural nodule count as a biomarker for COPD GOLD stages and emphysema measurements?", European Societies of Cardiovascular Radiology and Thoracic Imaging Joint Meeting, 2018.
2017
Papers in international journals
- J. Charbonnier, E. van Rikxoort, A. Setio, C. Schaefer-Prokop, B. van Ginneken and F. Ciompi, "Improving Airway Segmentation in Computed Tomography using Leak Detection with Convolutional Networks", Medical Image Analysis, 2017;36:52-60.
PhD theses
- J. Charbonnier, "Segmentation & quantification of airways and blood vessels in chest CT", PhD thesis, 2017.