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International Journal of Computer Assisted Radiology and Surgery|November 23, 2015
Improved segmentation of low-contrast lesions using sigmoid edge modelAmir Hossein Foruzan, Yen-Wei Chen
International Journal of Computer Assisted Radiology and Surgery|July 14, 2021
Reducing reconstruction error of classified textural patches by integration of random forests and coupled dictionary nonlinear regressors: with applications to super-resolution of abdominal CT imagesMahdieh Akbari, Amir Hossein Foruzan, Yen-Wei Chen, et al.
International Journal of Computer Assisted Radiology and Surgery|November 6, 2019
Incorporating prior shape knowledge via data-driven loss model to improve 3D liver segmentation in deep CNNsSaeed Mohagheghi, Amir Hossein Foruzan
Computers in Biology and Medicine|February 6, 2017
A generalized active shape model for segmentation of liver in low-contrast CT volumesMina Esfandiarkhani, Amir Hossein Foruzan
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 21, 2019
VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentationTitinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, et al.
International Journal of Computer Assisted Radiology and Surgery|January 6, 2015
Multimodality liver registration of Open-MR and CT scansAmir Hossein Foruzan, Hossein Rajabzadeh Motlagh
Computers in Biology and Medicine|January 6, 2018
Balancing the data term of graph-cuts algorithm to improve segmentation of hepatic vascular structuresNeda Sangsefidi, Amir Hossein Foruzan, Ardeshir Dolati
Computers in Biology and Medicine|November 10, 2015
Segmentation of liver and spleen based on computational anatomy modelsChunhua Dong, Yen-Wei Chen, Amir Hossein Foruzan, et al.
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