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Gliomas are the most common malignant primary brain tumors in adults and one of the deadliest types of cancer.
R. W. Cox, J. Ashburner, H. Breman, K. Fissell, C. Haselgrove, C. J. Holmes, J. L. Lancaster, D. E. Rex, S. M. Smith, J. B. Woodward, et al
2004
Earlier work this paper cites.
T. Rohlfing, D. B. Russakoff, and C. R. Maurer, “Performance-based classifier combination in atlas-based image segmentation using expectation-maximization parameter estimation,” IEEE transactions on medical imaging
2004
Earlier work this paper cites.
R. Stupp, W. P. Mason, M. J. Van Den Bent, M. Weller, B. Fisher, M. J. Taphoorn, K. Belanger, A. A. Brandes, C. Marosi, U. Bogdahn, et al
2005
Earlier work this paper cites.
K. Clark, B. Vendt, K. Smith, J. Freymann, J. Kirby, P. Koppel, S. Moore, S. Phillips, D. Maffitt, M. Pringle, et al
2013
Earlier work this paper cites.
B. H. Menze, A. Jakab, S. Bauer, J. Kalpathy-Cramer, K. Farahani, J. Kirby, Y. Burren, N. Porz, J. Slotboom, R. Wiest, et al
2014
Earlier work this paper cites.
S. Bakas, H. Akbari, A. Sotiras, M. Bilello, M. Rozycki, J. S. Kirby, J. B. Freymann, K. Farahani, and C. Davatzikos, “Advancing the cancer genome atlas glioma mri collections with expert segmentation labels and radiomic features,” Scientific data
2017
Earlier work this paper cites.
2018
Earlier work this paper cites.
P. Kickingereder, F. Isensee, I. Tursunova, J. Petersen, U. Neuberger, D. Bonekamp, G. Brugnara, M. Schell, T. Kessler, M. Foltyn, et al
2019
Earlier work this paper cites.
K. Chang, A. L. Beers, H. X. Bai, J. M. Brown, K. I. Ly, X. Li, J. T. Senders, V. K. Kavouridis, A. Boaro, C. Su, et al
2019
Earlier work this paper cites.
F. Isensee, M. Schell, I. Pflueger, G. Brugnara, D. Bonekamp, U. Neuberger, A. Wick, H.-P. Schlemmer, S. Heiland, W. Wick, et al
2019
Earlier work this paper cites.
J. D. Rudie, A. M. Rauschecker, R. N. Bryan, C. Davatzikos, and S. Mohan, “Emerging applications of artificial intelligence in neuro-oncology,” Radiology
2019
Earlier work this paper cites.
S. Pati, A. Singh, S. Rathore, A. Gastounioti, M. Bergman, P. Ngo, S. M. Ha, D. Bounias, J. Minock, G. Murphy, et al
2020
Earlier work this paper cites.
E. Ermiş, A. Jungo, R. Poel, M. Blatti-Moreno, R. Meier, U. Knecht, D. M. Aebersold, M. K. Fix, P. Manser, M. Reyes, et al
2020
Cited alongside, same era.
Lyon: International Agency for Research on Cancer, 5 ed., 2021
WHO Classification of Tumours Editorial Board, World Health Organization, and International Agency for Research on Cancer, WHO Classification of Tumours: Central Nervous System Tumours · 2021
Cited alongside, same era.
2021
Cited alongside, same era.
F. Isensee, P. F. Jaeger, S. A. Kohl, J. Petersen, and K. H. Maier-Hein, “nnu-net: a self-configuring method for deep learning-based biomedical image segmentation,” Nature methods
2021
Cited alongside, same era.
S. Cepeda, S. García-García, I. Arrese, F. Herrero, T. Escudero, T. Zamora, and R. Sarabia, “The río hortega university hospital glioblastoma dataset: A comprehensive collection of preoperative, early postoperative and recurrence mri scans (rhuh-gbm),” Data in Brief
2023
Later among the works it cites.
A. F. Kazerooni, N. Khalili, X. Liu, D. Haldar, Z. Jiang, S. M. Anwar, J. Albrecht, M. Adewole, U. Anazodo, H. Anderson, et al
2023
Later among the works it cites.
A. W. Moawad, A. Janas, U. Baid, D. Ramakrishnan, L. Jekel, K. Krantchev, H. Moy, R. Saluja, K. Osenberg, K. Wilms, et al
2023
Later among the works it cites.
2023
Later among the works it cites.
M. Adewole, J. D. Rudie, A. Gbdamosi, O. Toyobo, C. Raymond, D. Zhang, O. Omidiji, R. Akinola, M. A. Suwaid, A. Emegoakor, et al
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2022
Cited alongside, same era.
E. Lotan, B. Zhang, S. Dogra, W. Wang, D. Carbone, G. Fatterpekar, E. Oermann, and Y. Lui, “Development and practical implementation of a deep learning–based pipeline for automated pre-and postoperative glioma segmentation,” American Journal of Neuroradiology
2022
Cited alongside, same era.
M. Ghaffari, G. Samarasinghe, M. Jameson, F. Aly, L. Holloway, P. Chlap, E.-S. Koh, A. Sowmya, and R. Oliver, “Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images,” Magnetic resonance imaging
2022
Cited alongside, same era.
2022
Cited alongside, same era.
Q. T. Ostrom, M. Price, C. Neff, G. Cioffi, K. A. Waite, C. Kruchko, and J. S. Barnholtz-Sloan, “Cbtrus statistical report: primary brain and other central nervous system tumors diagnosed in the united states in 2016—2020,” Neuro-oncology
2023
Cited alongside, same era.
K. V. Hoebel, C. P. Bridge, S. Ahmed, O. Akintola, C. Chung, R. Y. Huang, J. M. Johnson, A. Kim, K. I. Ly, K. Chang, et al
2023
Cited alongside, same era.
P. J. Sørensen, J. F. Carlsen, V. A. Larsen, F. L. Andersen, C. N. Ladefoged, M. B. Nielsen, H. S. Poulsen, and A. E. Hansen, “Evaluation of the hd-glio deep learning algorithm for brain tumour segmentation on postoperative mri,” Diagnostics
2023
Cited alongside, same era.
P. Vollmuth, M. Foltyn, R. Y. Huang, N. Galldiks, J. Petersen, F. Isensee, M. J. van den Bent, F. Barkhof, J. E. Park, Y. W. Park, et al
2023
Cited alongside, same era.
2023
Later among the works it cites.
R. Duan, J. Tong, L. Lin, L. Levine, M. Sammel, J. Stoddard, T. Li, C. H. Schmid, H. Chu, and Y. Chen, “Palm: Patient-centered treatment ranking via large-scale multivariate network meta-analysis,” The Annals of Applied Statistics
2023
Later among the works it cites.
M. Niyazi, N. Andratschke, M. Bendszus, A. J. Chalmers, S. C. Erridge, N. Galldiks, F. J. Lagerwaard, P. Navarria, P. M. af Rosenschöld, U. Ricardi, et al
2023
Later among the works it cites.
S. Baig, I. Vidic, G. M. Mastorakos, R. X. Smith, N. White, S. Bash, A. M. Dale, C. R. McDonald, T. Beaumont, T. M. Seibert, J. Hattangadi-Gluth, S. Kesari, N. Farid, and J. D. Rudie, “Segmentation of Pre- and Post-Treatment Diffuse Glioma Tissue Subregions Including Resection Cavities,” In Revision at Neuro-Oncology Advances
2024
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B. K. Fields, E. Calabrese, J. Mongan, S. Cha, C. P. Hess, L. P. Sugrue, S. M. Chang, T. L. Luks, J. E. Villanueva-Meyer, A. M. Rauschecker, and J. D. Rudie, “The University of California, San Francisco Longitudinal Post-Treatment Diffuse Glioma (UCSF-ALPTDG) MRI Dataset.,” In Revision at Radiology: Artificial Intelligence
2024
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2024
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D. LaBella, O. Khanna, S. McBurney-Lin, R. Mclean, P. Nedelec, A. S. Rashid, N. h. Tahon, T. Altes, U. Baid, R. Bhalerao, et al
2024
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