Amir Hossein Foruzan

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 24

Top Topics

Liver Segmentation

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Comput. Biol. Medicine

Biomed. Signal Process. Control.

Comput. methods Biomech. Biomed. Eng. Imaging Vis.

Publications

Mina Esfandiarkhani, Amir Hossein Foruzan
Impact of a generalised SVG-based large-scale super-resolution algorithm on the design of light-weight medical image segmentation DNNs. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (7) (2024)
Mina Esfandiarkhani, Amir Hossein Foruzan, Yen-Wei Chen
A Study on the Validity and Scope of Self-Similarity Property in Super-Resolution of Medical Images. Circuits Syst. Signal Process. 43 (7) (2024)
Saeed Moslehi, Amir Hossein Foruzan, Yen-Wei Chen, Hongjie Hu
Characterisation of focal liver lesions in multi-phase CT images using textural and pathological descriptors. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (4) (2023)
Saeed Mohagheghi, Amir Hossein Foruzan
Developing an explainable deep learning boundary correction method by incorporating cascaded x-Dim models to improve segmentation defects in liver CT images. Comput. Biol. Medicine 140 (2022)
Hamid Moradi, Amir Hossein Foruzan
Integration of Dynamic Multi-Atlas and Deep Learning Techniques to Improve Segmentation of the Prostate in MR Images. Int. J. Image Graph. 22 (4) (2022)
Saeed Mohagheghi, Mehdi Alizadeh, Seyed Mahdi Safavi, Amir Hossein Foruzan, Yen-Wei Chen
Integration of CNN, CBMIR, and Visualization Techniques for Diagnosis and Quantification of Covid-19 Disease. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Sepide Farhang, Amir Hossein Foruzan
A low-complexity volumetric model with dynamic inter-connections to represent human liver in surgical simulators. Int. J. Medical Eng. Informatics 13 (2) (2021)
Mahdieh Akbari, Amir Hossein Foruzan, Yen-Wei Chen, Hongjie Hu
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. Int. J. Comput. Assist. Radiol. Surg. 16 (9) (2021)
Saeed Mohagheghi, Amir Hossein Foruzan
Incorporating prior shape knowledge via data-driven loss model to improve 3D liver segmentation in deep CNNs. Int. J. Comput. Assist. Radiol. Surg. 15 (2) (2020)
Nasim Nasiri, Amir Hossein Foruzan, Yen-Wei Chen
Integration of a knowledge-based constraint into generative models with applications in semi-automatic segmentation of liver tumors. Biomed. Signal Process. Control. 57 (2020)
Mahdi Delavari, Amir Hossein Foruzan, Yen-Wei Chen
Accurate point correspondences using a modified coherent point drift algorithm. Biomed. Signal Process. Control. 52 (2019)
Ali Derakhshani, Amir Hossein Foruzan
Predicting the principal strong ground motion parameters: A deep learning approach. Appl. Soft Comput. 80 (2019)
Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Lanfen Lin, Amir Hossein Foruzan, Wei Xiong, Yen-Wei Chen
VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation. Comput. Medical Imaging Graph. 75 (2019)
Atefe Hassani, Amir Hossein Foruzan
Improved PPG-based estimation of the blood pressure using latent space features. Signal Image Video Process. 13 (6) (2019)
Mansoureh Sadat Mirasadi, Amir Hossein Foruzan
Content-based medical image retrieval of CT images of liver lesions using manifold learning. Int. J. Multim. Inf. Retr. 8 (4) (2019)
Mahdi Delavari, Amir Hossein Foruzan
Anatomical decomposition of human liver volume to build accurate statistical shape models. Signal Image Video Process. 12 (2) (2018)
Neda Sangsefidi, Amir Hossein Foruzan, Ardeshir Dolati
Balancing the data term of graph-cuts algorithm to improve segmentation of hepatic vascular structures. Comput. Biol. Medicine 93 (2018)
Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Amir Hossein Foruzan, Lanfen Lin, Yen-Wei Chen
Robust hepatic vessel segmentation using multi deep convolution network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
Mina Esfandiarkhani, Amir Hossein Foruzan
A generalized active shape model for segmentation of liver in low-contrast CT volumes. Comput. Biol. Medicine 82 (2017)
Neda Sangsefidi, Amir Hossein Foruzan, Ardeshir Dolati, Yen-Wei Chen
Incorporating a locally estimated appearance model in the graphcuts algorithm to extract small hepatic vessels. ICIP (2017)
Amir Hossein Foruzan, Yen-Wei Chen
Improved segmentation of low-contrast lesions using sigmoid edge model. Int. J. Comput. Assist. Radiol. Surg. 11 (7) (2016)
Chunhua Dong, Yen-Wei Chen, Amir Hossein Foruzan, Xian-Hua Han, Tomoko Tateyama, Xing Wu
A framework for probabilistic atlas-based organ segmentation. Medical Imaging: Image Processing (2016)
Amir Hossein Foruzan, Hossein Rajabzadeh Motlagh
Multimodality liver registration of Open-MR and CT scans. Int. J. Comput. Assist. Radiol. Surg. 10 (8) (2015)
Chunhua Dong, Yen-Wei Chen, Amir Hossein Foruzan, Lanfen Lin, Xian-Hua Han, Tomoko Tateyama, Xing Wu, Gang Xu, Huiyan Jiang
Segmentation of liver and spleen based on computational anatomy models. Comput. Biol. Medicine 67 (2015)
Amir Hossein Foruzan, Yen-Wei Chen, Masatoshi Hori, Yoshinobu Sato, Noriyuki Tomiyama
Capturing large shape variations of liver using population-based statistical shape models. Int. J. Comput. Assist. Radiol. Surg. 9 (6) (2014)
Yen-Wei Chen, Amir Hossein Foruzan, Chunhua Dong, Tomoko Tateyama, Xianhua Han
Automatic Segmentation of Liver From CT Images Using Probabilistic Atlas and Template Matching. IDT/IIMSS/STET (2014)
Amir Hossein Foruzan, Yen-Wei Chen, Reza Aghaeizadeh Zoroofi, Akira Furukawa, Yoshinobu Sato, Masatoshi Hori, Noriyuki Tomiyama
Segmentation of Liver in Low-Contrast Images Using K-Means Clustering and Geodesic Active Contour Algorithms. IEICE Trans. Inf. Syst. (4) (2013)
Amir Hossein Foruzan, Iman Kalantari Khandani, Shahriar Baradaran Shokouhi
Segmentation of brain tissues using a 3-D multi-layer Hidden Markov Model. Comput. Biol. Medicine 43 (2) (2013)
Yen-Wei Chen, Masaki Kaibori, Tsukasa Shindo, Kousuke Miyawaki, Amir Hossein Foruzan, Tomoko Tateyama, Xian-Hua Han, Kosuke Matsui, Takumi Tsuda, A.-Hon Kwon
Computer-aided liver surgical planning system using CT volumes. EMBC (2013)
Amir Hossein Foruzan, Reza Aghaeizadeh Zoroofi, Yoshinobu Sato, Masatoshi Hori
A Hessian-based filter for vascular segmentation of noisy hepatic CT scans. Int. J. Comput. Assist. Radiol. Surg. 7 (2) (2012)
Shinya Kohara, Tomoko Tateyama, Amir Hossein Foruzan, Akira Furukawa, Shuzo Kanasaki, Makoto Wakamiya, Xiong Wei, Yen-Wei Chen
Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis. ICIP (2011)
Yen-Wei Chen, Katsumi Tsubokawa, Amir Hossein Foruzan
Liver Segmentation from Low Contrast Open MR Scans Using K-Means Clustering and Graph-Cuts. ISNN (2) (2010)
Amir Hossein Foruzan, Reza Aghaeizadeh Zoroofi, Masatoshi Hori, Yoshinobu Sato
Liver segmentation by intensity analysis and anatomical information in multi-slice CT images. Int. J. Comput. Assist. Radiol. Surg. 4 (3) (2009)
Amir Hossein Foruzan, Reza Aghaeizadeh Zoroofi, Masatoshi Hori, Yoshinobu Sato
A knowledge-based technique for liver segmentation in CT data. Comput. Medical Imaging Graph. 33 (8) (2009)
Tomoko Tateyama, Amir Hossein Foruzan, Yen-Wei Chen
2D-PCA Based Statistical Shape Model from few Medical Samples. IIH-MSP (2009)
Amir Hossein Foruzan, Yen-Wei Chen, Reza Aghaeizadeh Zoroofi, Akira Furukawa, Yoshinobu Sato, Masatoshi Hori
Multi-mode Narrow-band Thresholding with Application in Liver Segmentation from Low-contrast CT Images. IIH-MSP (2009)
Tomoko Tateyama, Amir Hossein Foruzan, Yen-Wei Chen
PCA Based Statical Shape Model of the Spleen. ICNC (6) (2009)