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Disambiguation of "Ghafoorian, Mohsen"

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Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation.

, , , , , , , and . ISBI, page 1414-1417. IEEE, (2016)

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Mohsen Naghdinasab University of Stuttgart

 

Other publications of authors with the same name

EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection., , , , and . ECCV Workshops (1), volume 11129 of Lecture Notes in Computer Science, page 256-272. Springer, (2018)Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR., , , , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 105742U. SPIE, (2018)Automatic Abstraction in Reinforcement Learning Using Ant System Algorithm., , and . AAAI Spring Symposium: Lifelong Machine Learning, volume SS-13-05 of AAAI Technical Report, AAAI, (2013)3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations., , , , , , , and . CoRR, (2019)Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy., , , , , , , , , and 2 other author(s). IEEE Trans. Med. Imaging, 38 (4): 1026-1036 (2019)Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities., , , , , , , , , and . CoRR, (2016)Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation., , , , , , , and . ISBI, page 1414-1417. IEEE, (2016)Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin., , , , , , , , , and 1 other author(s). CoRR, (2016)Gambling Adversarial Nets for Hard Sample Mining and Structured Prediction: Application in Ultrasound Thyroid Nodule Segmentation., and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 513-522. Springer, (2020)Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge., , , , , , , , , and 34 other author(s). IEEE Trans. Med. Imaging, 38 (11): 2556-2568 (2019)