A. H. Foruzan

发表

Image segmentation and registration techniques for MR-Guided Liver Cancer Surgery

Yen-Wei Chen, Y. Kurumi, K. Tsubokawa, 2012, Proceedings of 2012 IEEE/ASME 8th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications.

3D visualization of liver and its vascular structures and surgical planning system — Surgical simulation

Yen-Wei Chen, T. Tsuda, A. H. Foruzan, 2011, 2011 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT).

IMPROVEMENT OF STATISTICAL SHAPE MODELS FOR NON-RIGID TISSUES USING COHERENT POINT DRIFT ALGORITHM

A. H. Foruzan, Yen-Wei Chen, M. Delavari, 2014 .

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.

A novel method for the estimation of the acoustic bubble radius distribution

A. H. Foruzan, A. Hajnorouzi, 2020 .

Synthesis of MnO2 Nanoparticles in the Presence and Absence of Ultrasonic Irradiation

A. H. Foruzan, M. S. Rahmanifar, A. Hajnorouzi, 2019, Iranian Journal of Science and Technology, Transactions A: Science.

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

Sato Yoshinobu, Hori Masatoshi, A. H. Foruzan, 2008 .

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

A. H. Foruzan, M. Delavari, 2017, Signal, Image and Video Processing.

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).

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.

Segmentation of liver and spleen based on computational anatomy models

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

Synthesis of MnO2 Nanoparticles in the Presence and Absence of Ultrasonic Irradiation

A. H. Foruzan, M. S. Rahmanifar, A. Hajnorouzi, 2019, Iranian Journal of Science and Technology, Transactions A: Science.

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.

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..

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

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

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..

A knowledge-based technique for liver segmentation in CT data

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

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.

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.

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.

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.

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..

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.

Analysis of CT Images of Liver for Surgical Planning

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

Interactive visualization of hepatic parenchyma with applications to surgery simulators

Masaki Kaibori, A. H. Foruzan, Reza A. Zoroofi, 2010, 2010 17th Iranian Conference of Biomedical Engineering (ICBME).

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.

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..

Robust hepatic vessel segmentation using multi deep convolution network

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

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

A. H. Foruzan, M. Alizadeh, S. Mohagheghi, 2021, IEEE Journal of Biomedical and Health Informatics.

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).

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.