PCA Based Statical Shape Model of the Spleen. - Tomoko Tateyama; Amir Hossein Foruzan; Yen-Wei Chen 001 (ICNC (6), 2009)

Multi-mode Narrow-band Thresholding with Application in Liver Segmentation from Low-contrast CT Images. - Amir Hossein Foruzan; Yen-Wei Chen 001; Reza Aghaeizadeh Zoroofi; Akira Furukawa; Yoshinobu Sato; Masatoshi Hori (IIH-MSP, 2009)

2D-PCA Based Statistical Shape Model from few Medical Samples. - Tomoko Tateyama; Amir Hossein Foruzan; Yen-Wei Chen 001 (IIH-MSP, 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)

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 from Low Contrast Open MR Scans Using K-Means Clustering and Graph-Cuts. - Yen-Wei Chen 001; Katsumi Tsubokawa; Amir Hossein Foruzan (ISNN (2), 2010)

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 001; Yen-Wei Chen 001 (ICIP, 2011)

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)

Computer-aided liver surgical planning system using CT volumes. - Yen-Wei Chen 001; Masaki Kaibori; Tsukasa Shindo; Kousuke Miyawaki; Amir Hossein Foruzan; Tomoko Tateyama; Xian-Hua Han; Kosuke Matsui; Takumi Tsuda; A.-Hon Kwon (EMBC, 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)

Segmentation of Liver in Low-Contrast Images Using K-Means Clustering and Geodesic Active Contour Algorithms. - Amir Hossein Foruzan; Yen-Wei Chen 001; Reza Aghaeizadeh Zoroofi; Akira Furukawa; Yoshinobu Sato; Masatoshi Hori; Noriyuki Tomiyama (IEICE Trans. Inf. Syst., 2013)

Automatic Segmentation of Liver From CT Images Using Probabilistic Atlas and Template Matching. - Yen-Wei Chen 001; Amir Hossein Foruzan; Chunhua Dong; Tomoko Tateyama; Xianhua Han (IDT/IIMSS/STET, 2014)

Capturing large shape variations of liver using population-based statistical shape models. - Amir Hossein Foruzan; Yen-Wei Chen 001; Masatoshi Hori; Yoshinobu Sato; Noriyuki Tomiyama (Int. J. Comput. Assist. Radiol. Surg., 2014)

Multimodality liver registration of Open-MR and CT scans. - Amir Hossein Foruzan; Hossein Rajabzadeh Motlagh (Int. J. Comput. Assist. Radiol. Surg., 2015)

Segmentation of liver and spleen based on computational anatomy models. - Chunhua Dong; Yen-Wei Chen 001; Amir Hossein Foruzan; Lanfen Lin; Xian-Hua Han; Tomoko Tateyama; Xing Wu 001; Gang Xu; Huiyan Jiang (Comput. Biol. Medicine, 2015)

A framework for probabilistic atlas-based organ segmentation. - Chunhua Dong; Yen-Wei Chen 001; Amir Hossein Foruzan; Xian-Hua Han; Tomoko Tateyama; Xing Wu 001 (Image Processing, 2016)

Improved segmentation of low-contrast lesions using sigmoid edge model. - Amir Hossein Foruzan; Yen-Wei Chen 001 (Int. J. Comput. Assist. Radiol. Surg., 2016)

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 001 (ICIP, 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 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

A generalized active shape model for segmentation of liver in low-contrast CT volumes. - Mina Esfandiarkhani; Amir Hossein Foruzan (Comput. Biol. Medicine, 2017)

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)

Anatomical decomposition of human liver volume to build accurate statistical shape models. - Mahdi Delavari; Amir Hossein Foruzan (Signal Image Video Process., 2018)

Predicting the principal strong ground motion parameters: A deep learning approach. - Ali Derakhshani; Amir Hossein Foruzan (Appl. Soft Comput., 2019)

Accurate point correspondences using a modified coherent point drift algorithm. - Mahdi Delavari; Amir Hossein Foruzan; Yen-Wei Chen 001 (Biomed. Signal Process. Control., 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 001; Yen-Wei Chen 001 (Comput. Medical Imaging Graph., 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)

Improved PPG-based estimation of the blood pressure using latent space features. - Atefe Hassani; Amir Hossein Foruzan (Signal Image Video Process., 2019)

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 001 (Biomed. Signal Process. Control., 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)

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 001; Hongjie Hu (Int. J. Comput. Assist. Radiol. Surg., 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)

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 001 (IEEE J. Biomed. Health Informatics, 2021)

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)

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)

Characterisation of focal liver lesions in multi-phase CT images using textural and pathological descriptors. - Saeed Moslehi; Amir Hossein Foruzan; Yen-Wei Chen 001; Hongjie Hu (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Accurate Delineation of Multiple CT Liver Lesions by Deep Processing of Image Patches. - Alireza Javadi; Amir Hossein Foruzan; Yen-Wei Chen 001 (MLMI, 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., 2024)

A Study on the Validity and Scope of Self-Similarity Property in Super-Resolution of Medical Images. - Mina Esfandiarkhani; Amir Hossein Foruzan; Yen-Wei Chen 001 (Circuits Syst. Signal Process., 2024)