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We describe the design and results from the BraTS 2023 Intracranial Meningioma Segmentation Challenge.
Fast robust automated brain extraction
Stephen M Smith · 2002
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User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
Paul A. Yushkevich, Joseph Piven, Heather Cody Hazlett, Rachel Gimpel Smith, Sean Ho, James C. Gee, and Guido Gerig · 2006
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A technique for the deidentification of structural brain mr images
Amanda Bischoff-Grethe, I Burak Ozyurt, Evelina Busa, Brian T Quinn, Christine Fennema-Notestine, Camellia P Clark, Shaunna Morris, Mark W Bondi, Terry L Jernigan, Anders M Dale, et al · 2007
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State of the art survey on mri brain tumor segmentation
Nelly Gordillo, Eduard Montseny, and Pilar Sobrevilla · 2013
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The multimodal brain tumor image segmentation benchmark (brats)
Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, et al · 2014
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Magnetic resonance imaging of meningiomas: a pictorial review
J Watts, G Box, A Galvin, P Brotchie, N Trost, and T Sutherland · 2014
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Review of mri-based brain tumor image segmentation using deep learning methods
Ali Işın, Cem Direkoğlu, and Melike Şah · 2016
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Brain tumor segmentation using convolutional neural networks in mri images
Sérgio Pereira, Adriano Pinto, Victor Alves, and Carlos A Silva · 2016
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Advancing the cancer genome atlas glioma mri collections with expert segmentation labels and radiomic features
Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Michel Bilello, Martin Rozycki, Justin S Kirby, John B Freymann, Keyvan Farahani, and Christos Davatzikos · 2017
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Brain tumor segmentation with deep neural networks
Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, and Hugo Larochelle · 2017
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Intermediate-risk meningioma: initial outcomes from nrg oncology rtog 0539
Leland Rogers, Peixin Zhang, Michael A Vogelbaum, Arie Perry, Lynn S Ashby, Jignesh M Modi, Anthony M Alleman, James Galvin, David Brachman, Joseph M Jenrette, et al · 2017
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3d mri brain tumor segmentation using autoencoder regularization
Andriy Myronenko · 2018
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Optuna: A next-generation hyperparameter optimization framework
Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, and Masanori Koyama · 2019
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Can ct and mri features differentiate benign from malignant meningiomas?
Florian Salah, A Tabbarah, K Asmar, H Tamim, M Makki, A Sibahi, R Hourani, et al · 2019
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Identification of anonymous mri research participants with face-recognition software
Christopher G Schwarz, Walter K Kremers, Terry M Therneau, Richard R Sharp, Jeffrey L Gunter, Prashanthi Vemuri, Arvin Arani, Anthony J Spychalla, Kejal Kantarci, David S Knopman, et al · 2019
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Skull-stripping of glioblastoma mri scans using 3d deep learning
Siddhesh P Thakur, Jimit Doshi, Sarthak Pati, Sung Min Ha, Chiharu Sako, Sanjay Talbar, Uday Kulkarni, Christos Davatzikos, Guray Erus, and Spyridon Bakas · 2019
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Project monai
The MONAI Consortium · 2020
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Identification from mri with face-recognition software
Krishna Juluru, Eliot Siegel, and Jan Mazura · 2020
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High-risk meningioma: initial outcomes from nrg oncology/rtog 0539
C Leland Rogers, Minhee Won, Michael A Vogelbaum, Arie Perry, Lynn S Ashby, Jignesh M Modi, Anthony M Alleman, James Galvin, Shannon E Fogh, Emad Youssef, et al · 2020
Cited alongside, same era.
Brain extraction on mri scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training
Siddhesh Thakur, Jimit Doshi, Sarthak Pati, Saima Rathore, Chiharu Sako, Michel Bilello, Sung Min Ha, Gaurav Shukla, Adam Flanders, Aikaterini Kotrotsou, et al · 2020
Cited alongside, same era.
Ujjwal Baid, Satyam Ghodasara, Suyash Mohan, Michel Bilello, Evan Calabrese, Errol Colak, Keyvan Farahani, Jayashree Kalpathy-Cramer, Felipe C Kitamura, Sarthak Pati, et al · 2021
Cited alongside, same era.
Diagnosis and management of glioblastoma: A comprehensive perspective
https://www.synapse.org/#!Synapse:syn51156910/wiki/ , 2023
Synapse: Brain tumor segmentation (brats) cluster of challenges · 2023
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2023 brats meningioma dataset
E. Calabrese and D. LaBella · 2023
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Brats challenge 2023: Model ensemble for brain tumor segmentation in mri
D. Capellan-Martin · 2023
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Advances in pet imaging for meningioma patients
Norbert Galldiks, Nathalie L Albert, Michael Wollring, Jan-Michael Werner, Philipp Lohmann, Javier E Villanueva-Meyer, Gereon R Fink, Karl-Josef Langen, and Joerg-Christian Tonn · 2023
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Federated benchmarking of medical artificial intelligence with medperf
Alexandros Karargyris, Renato Umeton, Micah J Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, et al · 2023
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The brain tumor segmentation (brats) challenge 2023: Focus on pediatrics (cbtn-connect-dipgr-asnr-miccai brats-peds)
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Vianney Gilard, Abdellah Tebani, Ivana Dabaj, Annie Laquerrière, Maxime Fontanilles, Stéphane Derrey, Stéphane Marret, and Soumeya Bekri · 2021
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nnu-net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F Jaeger, Simon AA Kohl, Jens Petersen, and Klaus H Maier-Hein · 2021
Cited alongside, same era.
The many faces of glioblastoma: Pictorial review of atypical imaging features
Kumail Khandwala, Fatima Mubarak, and Khurram Minhas · 2021
Cited alongside, same era.
Meningioma: a review of epidemiology, pathology, diagnosis, treatment, and future directions
Christian Ogasawara, Brandon D Philbrick, and D Cory Adamson · 2021
Cited alongside, same era.
Changing the face of neuroimaging research: comparing a new mri de-facing technique with popular alternatives
Christopher G Schwarz, Walter K Kremers, Heather J Wiste, Jeffrey L Gunter, Prashanthi Vemuri, Anthony J Spychalla, Kejal Kantarci, Aaron P Schultz, Reisa A Sperling, David S Knopman, et al · 2021
Cited alongside, same era.
Multisite comparison of mri defacing software across multiple cohorts
Athena E Theyers, Mojdeh Zamyadi, Mark O’Reilly, Robert Bartha, Sean Symons, Glenda M MacQueen, Stefanie Hassel, Jason P Lerch, Evdokia Anagnostou, Raymond W Lam, et al · 2021
Cited alongside, same era.
Preoperative brain tumor imaging: Models and software for segmentation and standardized reporting
David Bouget, André Pedersen, Asgeir S Jakola, Vasileios Kavouridis, Kyrre E Emblem, Roelant S Eijgelaar, Ivar Kommers, Hilko Ardon, Frederik Barkhof, Lorenzo Bello, et al · 2022
Cited alongside, same era.
Anocef consensus guideline on target volume delineation for meningiomas radiotherapy
N Martz, J Salleron, F Dhermain, G Vogin, JF Daisne, R Mouttet Audouard, R Tanguy, G Noel, M Peyre, I Lecouillard, et al · 2022
Cited alongside, same era.
Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, Debanjan Haldar, Zhifan Jiang, Syed Muhammed Anwar, Jake Albrecht, Maruf Adewole, Udunna Anazodo, Hannah Anderson, et al · 2023
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The asnr-miccai brain tumor segmentation (brats) challenge 2023: Intracranial meningioma
Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, Talissa Altes, Syed Muhammad Anwar, Ujjwal Baid, Timothy Bergquist, Radhika Bhalerao, Sully Chen, Verena Chung, et al · 2023
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The brain tumor segmentation (brats-mets) challenge 2023: Brain metastasis segmentation on pre-treatment mri
Ahmed W Moawad, Anastasia Janas, Ujjwal Baid, Divya Ramakrishnan, Leon Jekel, Kiril Krantchev, Harrison Moy, Rachit Saluja, Klara Osenberg, Klara Wilms, et al · 2023
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Auto3dseg for brain tumor segmentation from 3d mri in brats 2023 challenge
A. Myronenko, D. Yang, Y. He, and D. Xu · 2023
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Gandlf: the generally nuanced deep learning framework for scalable end-to-end clinical workflows
Sarthak Pati, Siddhesh P Thakur, İbrahim Ethem Hamamcı, Ujjwal Baid, Bhakti Baheti, Megh Bhalerao, Orhun Güley, Sofia Mouchtaris, David Lang, Spyridon Thermos, et al · 2023
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Brats 2023 segmentation metrics: Clinical relevance
J. Rudie · 2023
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Lesion-wise performance metrics for brats-2023 segmentation challenges
R. Saluja · 2023
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MeningiomaAnalysis
Dominic LaBella · 2024
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A multi-institutional meningioma mri dataset for automated multi-sequence image segmentation
Dominic LaBella, Omaditya Khanna, Shan McBurney-Lin, Ryan Mclean, Pierre Nedelec, Arif S. Rashid, Nourel hoda Tahon, Talissa Altes, Ujjwal Baid, Radhika Bhalerao, Yaseen Dhemesh, Scott Floyd, Devon Godfrey, Fathi Hilal, Anastasia Janas, Anahita Kazerooni, Collin Kent, John Kirkpatrick, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern Menze, Maxence Pajot, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav I. Warman, Nico Sollmann, David Diffley, Khanak K. Nandolia, Daniel I Warren, Ali Hussain, John Pascal Fehringer, Yulia Bronstein, Lisa Deptula, Evan G. Stein, Mahsa Taherzadeh, Eduardo Portela de Oliveira, Aoife Haughey, Marinos Kontzialis, Luca Saba, Benjamin Turner, Melanie M. T. Brüßeler, Shehbaz Ansari, Athanasios Gkampenis, David Maximilian Weiss, Aya Mansour, Islam H. Shawali, Nikolay Yordanov, Joel M. Stein, Roula Hourani, Mohammed Yahya Moshebah, Ahmed Magdy Abouelatta, Tanvir Rizvi, Klara Willms, Dann C. Martin, Abdullah Okar, Gennaro D’Anna, Ahmed Taha, Yasaman Sharifi, Shahriar Faghani, Dominic Kite, Marco Pinho, Muhammad Ammar Haider, Michelle Alonso-Basanta, Javier Villanueva-Meyer, Andreas M. Rauschecker, Ayman Nada, Mariam Aboian, Adam Flanders, Spyridon Bakas, and Evan Calabrese · 2024
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Mlcube: Standardizing ml deployment
MLCommons Association · 2024
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Localization of intracranial meningiomas, 2024
Michael Murek · 2024
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