Amir Hossein Foruzan

According to our database, Amir Hossein Foruzan authored at least 36 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Impact of a generalised SVG-based large-scale super-resolution algorithm on the design of light-weight medical image segmentation DNNs.

Mina Esfandiarkhani, Amir Hossein Foruzan

Comput. methods Biomech. Biomed. Eng. Imaging Vis., January, 2024

2023

Characterisation of focal liver lesions in multi-phase CT images using textural and pathological descriptors.

Saeed Moslehi, Amir Hossein Foruzan, Yen-Wei Chen, Hongjie Hu

Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

2022

Integration of Dynamic Multi-Atlas and Deep Learning Techniques to Improve Segmentation of the Prostate in MR Images.

Hamid Moradi, Amir Hossein Foruzan

Int. J. Image Graph., 2022

Developing an explainable deep learning boundary correction method by incorporating cascaded x-Dim models to improve segmentation defects in liver CT images.

Saeed Mohagheghi, Amir Hossein Foruzan

Comput. Biol. Medicine, 2022

2021

Integration of CNN, CBMIR, and Visualization Techniques for Diagnosis and Quantification of Covid-19 Disease.

Saeed Mohagheghi, Mehdi Alizadeh, Seyed Mahdi Safavi, Amir Hossein Foruzan, Yen-Wei Chen

IEEE J. Biomed. Health Informatics, 2021

A low-complexity volumetric model with dynamic inter-connections to represent human liver in surgical simulators.

Sepide Farhang, Amir Hossein Foruzan

Int. J. Medical Eng. Informatics, 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 images.

Mahdieh Akbari, Amir Hossein Foruzan, Yen-Wei Chen, Hongjie Hu

Int. J. Comput. Assist. Radiol. Surg., 2021

2020

Incorporating prior shape knowledge via data-driven loss model to improve 3D liver segmentation in deep CNNs.

Saeed Mohagheghi, Amir Hossein Foruzan

Int. J. Comput. Assist. Radiol. Surg., 2020

Integration of a knowledge-based constraint into generative models with applications in semi-automatic segmentation of liver tumors.

Nasim Nasiri, Amir Hossein Foruzan, Yen-Wei Chen

Biomed. Signal Process. Control., 2020

2019

Improved PPG-based estimation of the blood pressure using latent space features.

Atefe Hassani, Amir Hossein Foruzan

Signal Image Video Process., 2019

Content-based medical image retrieval of CT images of liver lesions using manifold learning.

Mansoureh Sadat Mirasadi, Amir Hossein Foruzan

Int. J. Multim. Inf. Retr., 2019

VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.

Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Lanfen Lin, Amir Hossein Foruzan, Wei Xiong, Yen-Wei Chen

Comput. Medical Imaging Graph., 2019

Accurate point correspondences using a modified coherent point drift algorithm.

Mahdi Delavari, Amir Hossein Foruzan, Yen-Wei Chen

Biomed. Signal Process. Control., 2019

Predicting the principal strong ground motion parameters: A deep learning approach.

Ali Derakhshani, Amir Hossein Foruzan

Appl. Soft Comput., 2019

2018

Anatomical decomposition of human liver volume to build accurate statistical shape models.

Mahdi Delavari, Amir Hossein Foruzan

Signal Image Video Process., 2018

Balancing the data term of graph-cuts algorithm to improve segmentation of hepatic vascular structures.

Neda Sangsefidi, Amir Hossein Foruzan, Ardeshir Dolati

Comput. Biol. Medicine, 2018

2017

A generalized active shape model for segmentation of liver in low-contrast CT volumes.

Mina Esfandiarkhani, Amir Hossein Foruzan

Comput. Biol. Medicine, 2017

Robust hepatic vessel segmentation using multi deep convolution network.

Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Amir Hossein Foruzan, Lanfen Lin, Yen-Wei Chen

Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

Incorporating a locally estimated appearance model in the graphcuts algorithm to extract small hepatic vessels.

Neda Sangsefidi, Amir Hossein Foruzan, Ardeshir Dolati, Yen-Wei Chen

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Improved segmentation of low-contrast lesions using sigmoid edge model.

Amir Hossein Foruzan, Yen-Wei Chen

Int. J. Comput. Assist. Radiol. Surg., 2016

A framework for probabilistic atlas-based organ segmentation.

Chunhua Dong, Yen-Wei Chen, Amir Hossein Foruzan, Xian-Hua Han, Tomoko Tateyama, Xing Wu

Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015

Segmentation of liver and spleen based on computational anatomy models.

Chunhua Dong, Yen-Wei Chen, Amir Hossein Foruzan, Lanfen Lin, Xian-Hua Han, Tomoko Tateyama, Xing Wu, Gang Xu, Huiyan Jiang

Comput. Biol. Medicine, 2015

Multimodality liver registration of Open-MR and CT scans.

Amir Hossein Foruzan, Hossein Rajabzadeh Motlagh

Int. J. Comput. Assist. Radiol. Surg., 2015

2014

Capturing large shape variations of liver using population-based statistical shape models.

Amir Hossein Foruzan, Yen-Wei Chen, Masatoshi Hori, Yoshinobu Sato, Noriyuki Tomiyama

Int. J. Comput. Assist. Radiol. Surg., 2014

Automatic Segmentation of Liver From CT Images Using Probabilistic Atlas and Template Matching.

Yen-Wei Chen, Amir Hossein Foruzan, Chunhua Dong, Tomoko Tateyama, Xianhua Han

Proceedings of the Smart Digital Futures 2014, 2014

2013

Segmentation of Liver in Low-Contrast Images Using K-Means Clustering and Geodesic Active Contour Algorithms.

Amir Hossein Foruzan, Yen-Wei Chen, Reza Aghaeizadeh Zoroofi, Akira Furukawa, Yoshinobu Sato, Masatoshi Hori, Noriyuki Tomiyama

IEICE Trans. Inf. Syst., 2013

Segmentation of brain tissues using a 3-D multi-layer Hidden Markov Model.

Amir Hossein Foruzan, Iman Kalantari Khandani, Shahriar Baradaran Shokouhi

Comput. Biol. Medicine, 2013

Computer-aided liver surgical planning system using CT volumes.

Yen-Wei Chen, Masaki Kaibori, Tsukasa Shindo, Kousuke Miyawaki, Amir Hossein Foruzan, Tomoko Tateyama, Xian-Hua Han, Kosuke Matsui, Takumi Tsuda, A.-Hon Kwon

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

A Hessian-based filter for vascular segmentation of noisy hepatic CT scans.

Amir Hossein Foruzan, Reza Aghaeizadeh Zoroofi, Yoshinobu Sato, Masatoshi Hori

Int. J. Comput. Assist. Radiol. Surg., 2012

2011

Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis.

Shinya Kohara, Tomoko Tateyama, Amir Hossein Foruzan, Akira Furukawa, Shuzo Kanasaki, Makoto Wakamiya, Xiong Wei, Yen-Wei Chen

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

Liver Segmentation from Low Contrast Open MR Scans Using K-Means Clustering and Graph-Cuts.

Yen-Wei Chen, Katsumi Tsubokawa, Amir Hossein Foruzan

Proceedings of the Advances in Neural Networks, 2010

2009

A knowledge-based technique for liver segmentation in CT data.

Amir Hossein Foruzan, Reza Aghaeizadeh Zoroofi, Masatoshi Hori, Yoshinobu Sato

Comput. Medical Imaging Graph., 2009

Liver segmentation by intensity analysis and anatomical information in multi-slice CT images.

Amir Hossein Foruzan, Reza Aghaeizadeh Zoroofi, Masatoshi Hori, Yoshinobu Sato

Int. J. Comput. Assist. Radiol. Surg., 2009

2D-PCA Based Statistical Shape Model from few Medical Samples.

Tomoko Tateyama, Amir Hossein Foruzan, Yen-Wei Chen

Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009

Multi-mode Narrow-band Thresholding with Application in Liver Segmentation from Low-contrast CT Images.

Amir Hossein Foruzan, Yen-Wei Chen, Reza Aghaeizadeh Zoroofi, Akira Furukawa, Yoshinobu Sato, Masatoshi Hori

Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009

PCA Based Statical Shape Model of the Spleen.

Tomoko Tateyama, Amir Hossein Foruzan, Yen-Wei Chen

Proceedings of the Fifth International Conference on Natural Computation, 2009