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The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

B. Menze, A. Jakab, S. Bauer, J. Kalpathy-Cramer, K. Farahani, J. Kirby, Y. Burren, N. Porz, J. Slotboom, R. Wiest, L. Lanczi, E. Gerstner, M. Weber, T. Arbel, B. Avants, N. Ayache, P. Buendia, D. Collins, N. Cordier, J. Corso, A. Criminisi, T. Das, H. Delingette, Ç. Demiralp, C. Durst, M. Dojat, S. Doyle, J. Festa, F. Forbes, E. Geremia, B. Glocker, P. Golland, X. Guo, A. Hamamci, K. Iftekharuddin, R. Jena, N. John, E. Konukoglu, D. Lashkari, J. Mariz, R. Meier, S. Pereira, D. Precup, S. Price, T. Raviv, S. Reza, M. Ryan, D. Sarikaya, L. Schwartz, H. Shin, J. Shotton, C. Silva, N. Sousa, N. Subbanna, G. Székely, T. Taylor, O. Thomas, N. Tustison, G. Ünal, F. Vasseur, M. Wintermark, D. Ye, L. Zhao, B. Zhao, D. Zikic, M. Prastawa, M. Reyes, and K. Leemput. IEEE Trans. Med. Imaging, 34 (10): 1993-2024 (2015)

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Sérgio Campos

Sérgio Clementi

Sérgio Costa

Sérgio Mata

Sérgio Daher

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Adaptive Feature Recombination and Recalibration for Semantic Segmentation: Application to Brain Tumor Segmentation in MRI.S. Pereira, V. Alves, and C. Silva. MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 706-714. Springer, (2018)Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation.C. Silva, A. Pinto, S. Pereira, and A. Lopes. BrainLes@MICCAI (2), volume 12659 of Lecture Notes in Computer Science, page 179-188. Springer, (2020)Variability Matters: Evaluating Inter-Rater Variability in Histopathology for Robust Cell Detection.C. Kang, C. Lee, H. Song, M. Ma, and S. Pereira. ECCV Workshops (7), volume 13807 of Lecture Notes in Computer Science, page 552-565. Springer, (2022)OCELOT: Overlapped Cell on Tissue Dataset for Histopathology.J. Ryu, A. Puche, J. Shin, S. Park, B. Brattoli, J. Lee, W. Jung, S. Cho, K. Paeng, C. Ock and 2 other author(s). CVPR, page 23902-23912. IEEE, (2023)Interactive Multi-Class Tiny-Object Detection.C. Lee, S. Park, H. Song, J. Ryu, S. Kim, H. Kim, S. Pereira, and D. Yoo. CVPR, page 14116-14125. IEEE, (2022)Science Mapping on Tourism and Technology: A Bibliometric Approach.M. Ferreira, S. Pereira, S. Araújo, and S. Lopes. ARTIIS (2), volume 1676 of Communications in Computer and Information Science, page 256-268. Springer, (2022)Hierarchical brain tumour segmentation using extremely randomized trees.A. Pinto, S. Pereira, D. Rasteiro, and C. Silva. Pattern Recognit., (2018)Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment.S. Pereira, R. Meier, V. Alves, M. Reyes, and C. Silva. MLCN/DLF/iMIMIC@MICCAI, volume 11038 of Lecture Notes in Computer Science, page 106-114. Springer, (2018)A middleware for intelligent environments in ambient assisted living.R. Pereira, C. Barros, S. Pereira, P. Mendes, and C. Silva. EMBC, page 5924-5927. IEEE, (2014)Benchmarking Self-Supervised Learning on Diverse Pathology Datasets.M. Kang, H. Song, S. Park, D. Yoo, and S. Pereira. CVPR, page 3344-3354. IEEE, (2023)

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Disambiguation of "Pereira, Sérgio"

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The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

Please choose a person to relate this publication to

Sérgio Campos

Sérgio Clementi

Sérgio Costa

Sérgio Mata

Sérgio Daher

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pereira, Sérgio"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

Please choose a person to relate this publication to

Sérgio Campos

Sérgio Clementi

Sérgio Costa

Sérgio Mata

Sérgio Daher

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).