Silva, Carlos A.

The multimodal brain tumor image segmentation benchmark (BRATS)

Menze, B. H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., Burren, Y., Porz, N., Slotboom, J., Wiest, R., et al. (2015) · IEEE Transactions on Medical Imaging

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 6,781

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

Pereira, S., Pinto, A., Alves, V., & Silva, C. A. (2016) · IEEE Transactions on Medical Imaging

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 2,735

On the interpretability of artificial intelligence in radiology: challenges and opportunities

Reyes, M., Meier, R., Pereira, S., Silva, C. A., Dahlweid, F.-M., Tengg-Kobligk, H. V., Summers, R. M., & Wiest, R. (2020) · Radiology: Artificial Intelligence

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 484

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans

Mendrik, A. M., Vincken, K. L., Kuijf, H. J., Breeuwer, M., Bouvy, W. H., de Bresser, J., Alansary, A., de Bruijne, M., Carass, A., El-Baz, A., et al. (2015) · Computational Intelligence and Neuroscience

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 261

Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI

Pereira, S., Pinto, A., Alves, V., & Silva, C. A. (2016) · Lecture Notes in Computer Science

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 135

Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features

Pinto, A., Pereira, S., Correia, H., Oliveira, J., Rasteiro, D. M. L. D., & Silva, C. A. (2015) · 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 108