3D-Morphomics, Morphological Features on CT Scans for Lung Nodule Malignancy Diagnosis

Autor: Elias Munoz, Pierre Baudot, Van-Khoa Le, Charles Voyton, Benjamin Renoust, Danny Francis, Vladimir Groza, Jean-Christophe Brisset, Ezequiel Geremia, Antoine Iannessi, Yan Liu, Benoit Huet

Publikováno v: Cancer Prevention Through Early Detection ISBN: 9783031179785

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b3aafdc197eba0607e3cbde5e8075576
https://doi.org/10.1007/978-3-031-17979-2_1

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Autor: Nicholas Ayache, Danial Lashkari, Yuliya Burren, Polina Golland, Duygu Sarikaya, Levente Lanczi, Florence Forbes, Binsheng Zhao, Michel Dojat, Brian B. Avants, Marcel Prastawa, Liang Zhao, Andac Hamamci, Jamie Shotton, Ben Glocker, Thomas J. Taylor, Joana Festa, Nicolas Cordier, Hervé Delingette, Johannes Slotboom, Doina Precup, Antonio Criminisi, Ezequiel Geremia, Lawrence H. Schwartz, Stephen J. Price, Gábor Székely, Carlos A. Silva, José Mariz, Owen M. Thomas, Tilak Das, Ender Konukoglu, Dong Hye Ye, Khan M. Iftekharuddin, Syed M. S. Reza, Xiaotao Guo, Koen Van Leemput, Raphael Meier, Senan Doyle, Christopher R. Durst, D. Louis Collins, Raj Jena, Tal Arbel, Elizabeth R. Gerstner, Darko Zikic, Çağatay Demiralp, Marc-André Weber, Keyvan Farahani, Nagesh K. Subbanna, Stefan Bauer, Nicholas J. Tustison, Sérgio Pereira, Bjoern H. Menze, Patricia Buendia, Jason J. Corso, Mauricio Reyes, Nuno Sousa, Max Wintermark, Jayashree Kalpathy-Cramer, Flor Vasseur, Justin Kirby, Gozde Unal, Andras Jakab, Roland Wiest, Tammy Riklin Raviv, Nigel M. John, N Porz, Michael Ryan, Hoo-Chang Shin

Publikováno v: IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging, 2014, 34 (10), pp.1993-2024. ⟨10.1109/TMI.2014.2377694⟩
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2014, 34 (10), pp.1993-2024. ⟨10.1109/TMI.2014.2377694⟩
Menze, B H, Jakab, A, Bauer, S, Kalpathy-Cramer, J, Farahani, K, Kirby, J, Burren, Y, Porz, N, Slotboom, J, Wiest, R & Van Leemput, K 2015, ' The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) ', I E E E Transactions on Medical Imaging, vol. 34, no. 10, pp. 1993-2024 . https://doi.org/10.1109/TMI.2014.2377694
PMC

In this paper we report the set-up and results of the Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and 2013 conferences. Twenty state-of-the-art tumor segmentation algorithms were applied t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a646ba3044e5d6b2f1fd5983116f97a
https://inria.hal.science/hal-00935640

Spatially Adaptive Random Forest

Autor: Nicholas Ayache, Ezequiel Geremia, Bjoern H. Menze

Publikováno v: 2013 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
2013 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013, San Francisco, CA, United States. pp.1332-35, ⟨10.1109/ISBI.2013.6556781⟩
ISBI

International audience; Medical imaging protocols produce large amounts of multi- modal volumetric images. The large size of the datasets contributes to the success of supervised discriminative methods for semantic image segmentation. Classifying rel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af5ef0af2a7a7e2b4821eac54596fcd5
https://hal.inria.fr/hal-00840035

Classification Forests for Semantic Segmentation of Brain Lesions in Multi-channel MRI

Autor: Darko Zikic, Bjoern H. Menze, Antonio Criminisi, Owen M. Thomas, Tilak Das, Nicholas Ayache, Ezequiel Geremia, Ender Konukoglu, Stephen J. Price, Olivier Clatz, Jamie Shotton, Ben Glocker, Raj Jena

Publikováno v: Decision Forests for Computer Vision and Medical Image Analysis
Criminisi, Antonio and Shotton, J. Decision Forests for Computer Vision and Medical Image Analysis, Springer London, pp.245-260, 2013, Advances in Computer Vision and Pattern Recognition, 978-1-4471-4928-6. ⟨10.1007/978-1-4471-4929-3_17⟩
Decision Forests for Computer Vision and Medical Image Analysis ISBN: 9781447149286

International audience; Classification forests, as discussed in Chapter 2, have a series of advantageous properties which make them a very good choice for applications in medical image analysis. Classification forests are inherent multi-label classif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::121c0834bc3ada6dbdb16b633baabd56
https://inria.hal.science/hal-00931809/file/bookDecisionForests_Chapter.pdf

Predicting the Location of Glioma Recurrence After a Resection Surgery

Autor: Bjoern H. Menze, Hervé Delingette, Ezequiel Geremia, Emmanuel Mandonnet, Erin Stretton, Nicholas Ayache

Publikováno v: Proceedings of 2nd International MICCAI Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data (STIA'12)
Proceedings of 2nd International MICCAI Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data (STIA'12), 2012, Nice, France. ⟨10.1007/978-3-642-33555-6_10⟩
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data ISBN: 9783642335549
STIA
Lecture Notes in Computer Science

International audience; We propose a method for estimating the location of glioma recurrence after surgical resection. This method consists of a pipeline including the registration of images at different time points, the estimation of the tumor infil

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2136d82b41235bfc7db2982f5e063cfe
https://inria.hal.science/hal-00813870/file/Miccai2012_Workshop_ErinStretton-Submit-1.pdf