Amir Hossein Foruzan

发表

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

Yen-Wei Chen, Neda Sangsefidi, Amir Hossein Foruzan, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

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

Neda Sangsefidi, Amir Hossein Foruzan, Ardeshir Dolati, 2018, Comput. Biol. Medicine.

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

Wei Xiong, Yen-Wei Chen, Yutaro Iwamoto, 2019, Comput. Medical Imaging Graph..

A knowledge-based technique for liver segmentation in CT data

Yoshinobu Sato, Amir Hossein Foruzan, Masatoshi Hori, 2009, Comput. Medical Imaging Graph..

Computer-aided liver surgical planning system using CT volumes

Yen-Wei Chen, Xian-Hua Han, Tomoko Tateyama, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Amir Hossein Foruzan, Mansoureh Sadat Mirasadi, A. H. Foruzan, 2019, International Journal of Multimedia Information Retrieval.

Improving Retrieval of Pathological Liver Images in Multi-phase CT Data Using a Correlation Graph Distance

Yen-Wei Chen, Amir Hossein Foruzan, Mansoureh Sadat Mirasadi, 2019, 2019 4th International Conference on Pattern Recognition and Image Analysis (IPRIA).

A statistical shape model using 2D-principal component analysis from few medical samples and its evaluation

Yen-Wei Chen, Tomoko Tateyama, Amir Hossein Foruzan, 2010, The 2nd International Conference on Software Engineering and Data Mining.

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

Yen-Wei Chen, Tomoko Tateyama, Amir Hossein Foruzan, 2014, IDT/IIMSS/STET.

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

Yen-Wei Chen, Yoshinobu Sato, Amir Hossein Foruzan, 2013, IEICE Trans. Inf. Syst..

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

Amir Hossein Foruzan, Saeed Mohagheghi, A. H. Foruzan, 2020, Int. J. Comput. Assist. Radiol. Surg..

Automatic Segmentation of Spleen based on Anatomical Model and Template Matching

Tomoko Tateyama, Yen-Wei Chen, Amir Hossein Foruzan, 2015 .

A framework for probabilistic atlas-based organ segmentation

Yen-Wei Chen, Xian-Hua Han, Tomoko Tateyama, 2016, SPIE Medical Imaging.

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

Amir Hossein Foruzan, Shahriar B. Shokouhi, Iman Kalantari Khandani, 2013, Comput. Biol. Medicine.

PCA Based Statical Shape Model of the Spleen

Yen-Wei Chen, Tomoko Tateyama, Amir Hossein Foruzan, 2009, 2009 Fifth International Conference on Natural Computation.

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

Yen-Wei Chen, Yoshinobu Sato, Amir Hossein Foruzan, 2014, International Journal of Computer Assisted Radiology and Surgery.

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

Yen-Wei Chen, Amir Hossein Foruzan, Katsumi Tsubokawa, 2010, ISNN.

Segmentation of liver and spleen based on computational anatomy models

Yen-Wei Chen, Gang Xu, Xian-Hua Han, 2015, Comput. Biol. Medicine.

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

Amir Hossein Foruzan, Atefe Hassani, A. H. Foruzan, 2019, Signal Image Video Process..

A real-time stable volumetric Mass-Spring Model based on a multi-scale mesh representation

Yen-Wei Chen, Amir Hossein Foruzan, Sepide Farhang, 2016, 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering (ICBME).

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

Yoshinobu Sato, Amir Hossein Foruzan, Masatoshi Hori, 2012, International Journal of Computer Assisted Radiology and Surgery.

Improving active shape models performance in low-contrast images using a KNN-based search algorithm - with applications in liver segmentation

Yen-Wei Chen, Amir Hossein Foruzan, Mina Esfandiarkhani, 2015, 2015 22nd Iranian Conference on Biomedical Engineering (ICBME).

A Multi-Cluster Random Forests-Based Approach to Super-Resolution of Abdominal CT Images Using Deep Neural Networks

Yen-Wei Chen, Amir Hossein Foruzan, Mahdieh Akbari, 2020, 2020 28th Iranian Conference on Electrical Engineering (ICEE).

Data Augmentation of CT Images of Liver Tumors to Reconstruct Super-Resolution Slices based on a Multi-Frame Approach

Amir Hossein Foruzan, Moslem Farhadi, 2019, 2019 27th Iranian Conference on Electrical Engineering (ICEE).

Segmentation of large renal tumors in CT images by the integration of deep neural networks and thresholding

Amir Hossein Foruzan, Saeed Mohagheghi, Nasim Nasiri, 2019 .

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

Amir Hossein Foruzan, Mina Esfandiarkhani, A. H. Foruzan, 2017, Comput. Biol. Medicine.

Automatic segmentation of prostate in MR images using deep learning and multi-atlas techniques

Yen-Wei Chen, Amir Hossein Foruzan, Hamid Moradi, 2018, 2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME).

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

Amir Hossein Foruzan, Mahdi Delavari, A. H. Foruzan, 2018, Signal Image Video Process..

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

Yoshinobu Sato, Amir Hossein Foruzan, Masatoshi Hori, 2009, International Journal of Computer Assisted Radiology and Surgery.

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

Yen-Wei Chen, Tomoko Tateyama, Xiong Wei, 2011, 2011 18th IEEE International Conference on Image Processing.

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

Yen-Wei Chen, Yoshinobu Sato, Amir Hossein Foruzan, 2009, 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

Improved segmentation of low-contrast lesions using sigmoid edge model

Yen-Wei Chen, Amir Hossein Foruzan, A. H. Foruzan, 2016, International Journal of Computer Assisted Radiology and Surgery.

Accurate point correspondences using a modified coherent point drift algorithm

Yen-Wei Chen, Amir Hossein Foruzan, Mahdi Delavari, 2019, Biomed. Signal Process. Control..

Automated Determination of the Liver Boundary in CT Data Based on Anatomical Knowledge and Level Set Method

Yoshinobu Sato, Hironobu Nakamura, Takamichi Murakami, 2007 .

A Controlled Generative Model for Segmentation of Liver Tumors

Yen-Wei Chen, Amir Hossein Foruzan, Nasim Nasiri, 2019, 2019 27th Iranian Conference on Electrical Engineering (ICEE).

Improving the Performance of Deep CNNs in Medical Image Segmentation with Limited Resources

Yen-Wei Chen, Amir Hossein Foruzan, Saeed Mohagheghi, 2020 .

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

Yen-Wei Chen, Tomoko Tateyama, Amir Hossein Foruzan, 2009, 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

統計的形状モデルを用いた肝硬変データの分類精度に関する定量評価 (コンピュータビジョンとイメージメディア(CVIM) Vol.2011-CVIM-175)

Amir Hossein Foruzan, 小原伸哉, 健山智子, 2011 .

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

Yen-Wei Chen, Amir Hossein Foruzan, Nasim Nasiri, 2020, Biomed. Signal Process. Control..

Organ Bounding Box Annotation based on Adaptive Selection of Bone References

Xian-Hua Han, Tomoko Tateyama, Yen-Wei Chen, 2014 .

Application of statistical shape model to diagnosis of liver disease

Yen-Wei Chen, Tomoko Tateyama, Amir Hossein Foruzan, 2010, The 2nd International Conference on Software Engineering and Data Mining.

Multimodality liver registration of Open-MR and CT scans

Amir Hossein Foruzan, Hossein Rajabzadeh Motlagh, 2014, International Journal of Computer Assisted Radiology and Surgery.

A rule based technique for liver segmentation in CT data (医用画像)

Yoshinobu Sato, Amir Hossein Foruzan, Masatoshi Hori, 2008 .

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

Amir Hossein Foruzan, Ali Derakhshani, A. H. Foruzan, 2019, Appl. Soft Comput..

Segmentation of liver in low-contrast images using K-means clustering and a priori knowledge (パターン認識・メディア理解)

Yoshinobu Sato, Yen-Wei Chen, Amir Hossein Foruzan, 2009 .

Robust hepatic vessel segmentation using multi deep convolution network

Yen-Wei Chen, Xian-Hua Han, Yutaro Iwamoto, 2017, Medical Imaging.

Automatic liver tumor detection using EM/MPM algorithm and shape information

Tomoko Tateyama, Amir Hossein Foruzan, Yu Masuda, 2010, The 2nd International Conference on Software Engineering and Data Mining.

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

Yen-Wei Chen, Amir Hossein Foruzan, A. H. Foruzan, 2021, International Journal of Computer Assisted Radiology and Surgery.

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

Amir Hossein Foruzan, Hamid Moradi, 2021, International Journal of Image and Graphics.

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

Amir Hossein Foruzan, Saeed Mohagheghi, A. H. Foruzan, 2021, Comput. Biol. Medicine.

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

Amir Hossein Foruzan, Sepide Farhang, 2021, Int. J. Medical Eng. Informatics.

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

Amir Hossein Foruzan, Sepide Farhang, 2021 .

Content-Based Retrieval of Focal Liver Lesions Using Geometrical and Textural Features of Multi-Phase CT-Scan Images

Yen-Wei Chen, Amir Hossein Foruzan, Hongjie Hu, 2021 .

Improvement of Statistical Shape Models for Soft Tissues Using Modified-Coherent Point Drift

Yen-Wei Chen, Amir Hossein Foruzan, Mahdi Delavari, 2015 .

Analysis of CT Images of Liver for Surgical Planning

Amir Hossein Foruzan, Reza Aghaeizadeh Zoroofi, Masaki Kaibori, 2012 .