Carass, Aaron

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

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Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN: Effects of Gradient Consistency Loss and Training Data Size

Hiasa, Y., Otake, Y., Takao, M., Matsuoka, T., Takashima, K., Carass, A., Prince, J. L., Sugano, N., & Sato, Y. (2018) · Lecture Notes in Computer Science

Generative Adversarial Networks and Image SynthesisMedical Image Segmentation Techniques

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Random forest regression for magnetic resonance image synthesis

Jog, A., Carass, A., Roy, S., Pham, D. L., & Prince, J. L. (2017) · Medical Image Analysis

Advanced MRI Techniques and ApplicationsMedical Image Segmentation Techniques

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Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN

Yang, H., Sun, J., Carass, A., Zhao, C., Lee, J., Prince, J. L., & Xu, Z. (2020) · IEEE Transactions on Medical Imaging

Generative Adversarial Networks and Image SynthesisMedical Image Segmentation Techniques

Cited by 204

Structured layer surface segmentation for retina OCT using fully convolutional regression networks

He, Y., Carass, A., Liu, Y., Jedynak, B. M., Solomon, S. D., Saidha, S., Calabresi, P. A., & Prince, J. L. (2021) · Medical Image Analysis

Retinal Imaging and AnalysisMedical Image Segmentation Techniques

Cited by 104

Retinal layer parcellation of optical coherence tomography images: Data resource for multiple sclerosis and healthy controls

He, Y., Carass, A., Solomon, S. D., Saidha, S., Calabresi, P. A., & Prince, J. L. (2019) · Data in Brief

Retinal Imaging and AnalysisMedical Image Segmentation Techniques

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