Amir Hossein Foruzan

38 papers B 3Journal 27Unranked 8

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