PatchFCN for Intracranial Hemorrhage Detection

Fully convolutional networks for semantic segmentation

Long, J., Shelhamer, E., Darrell, T.: · 2015

Earlier work this paper cites.

A multi-atlas approach to region of interest detection for medical image classification

Wang, H., Moradi, M., Gur, Y., Prasanna, P., Syeda-Mahmood, T.: · 2017

Earlier work this paper cites.

Dilated residual networks

Yu, F., Koltun, V., Funkhouser, T.: · 2017

Earlier work this paper cites.

Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration

Arbabshirani, M.R., Fornwalt, B.K., Mongelluzzo, G.J., Suever, J.D., Geise, B.D., Patel, A.A., Moore, G.J.: · 2018

Earlier work this paper cites.

Automated deep-neural-network surveillance of cranial images for acute neurologic events

Titano, J.J., Badgeley, M., Schefflein, J., Pain, M., Su, A., Cai, M., Swinburne, N., Zech, J., Kim, J., Bederson, J., et al.: · 2018

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Hybrid 3d/2d convolutional neural network for hemorrhage evaluation on head ct

Chang, P., Kuoy, E., Grinband, J., Weinberg, B., Thompson, M., Homo, R., Chen, J., Abcede, H., Shafie, M., Sugrue, L., et al.: · 2018

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Deep supervision with additional labels for retinal vessel segmentation task

Zhang, Y., Chung, A.C.: · 2018

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Autofocus layer for semantic segmentation

Qin, Y., Kamnitsas, K., Ancha, S., Nanavati, J., Cottrell, G., Criminisi, A., Nori, A.: · 2018

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Convolutional neural network based metal artifact reduction in x-ray computed tomography

Zhang, Y., Yu, H.: · 2018

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Harmonizing diffusion mri data across magnetic field strengths

Karayumak, S.C., Kubicki, M., Rathi, Y.: · 2018

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An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets

Lee, H., Yune, S., Mansouri, M., Kim, M., Tajmir, S.H., Guerrier, C.E., Ebert, S.A., Pomerantz, S.R., Romero, J.M., Kamalian, S., et al.: · 2019

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