Amir Hossein Foruzan
Orcid: 0000-0003-0177-3227
According to our database1,
Amir Hossein Foruzan
authored at least 37 papers
between 2009 and 2024.
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Bibliography
2024
A Study on the Validity and Scope of Self-Similarity Property in Super-Resolution of Medical Images.
Circuits Syst. Signal Process., July, 2024
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., January, 2024
2023
Characterisation of focal liver lesions in multi-phase CT images using textural and pathological descriptors.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
2022
Integration of Dynamic Multi-Atlas and Deep Learning Techniques to Improve Segmentation of the Prostate in MR Images.
Int. J. Image Graph., 2022
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, 2022
2021
Integration of CNN, CBMIR, and Visualization Techniques for Diagnosis and Quantification of Covid-19 Disease.
IEEE J. Biomed. Health Informatics, 2021
A low-complexity volumetric model with dynamic inter-connections to represent human liver in surgical simulators.
Int. J. Medical Eng. Informatics, 2021
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., 2021
2020
Incorporating prior shape knowledge via data-driven loss model to improve 3D liver segmentation in deep CNNs.
Int. J. Comput. Assist. Radiol. Surg., 2020
Integration of a knowledge-based constraint into generative models with applications in semi-automatic segmentation of liver tumors.
Biomed. Signal Process. Control., 2020
2019
Signal Image Video Process., 2019
Content-based medical image retrieval of CT images of liver lesions using manifold learning.
Int. J. Multim. Inf. Retr., 2019
VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.
Comput. Medical Imaging Graph., 2019
Biomed. Signal Process. Control., 2019
Appl. Soft Comput., 2019
2018
Anatomical decomposition of human liver volume to build accurate statistical shape models.
Signal Image Video Process., 2018
Balancing the data term of graph-cuts algorithm to improve segmentation of hepatic vascular structures.
Comput. Biol. Medicine, 2018
2017
A generalized active shape model for segmentation of liver in low-contrast CT volumes.
Comput. Biol. Medicine, 2017
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
Incorporating a locally estimated appearance model in the graphcuts algorithm to extract small hepatic vessels.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
Int. J. Comput. Assist. Radiol. Surg., 2016
Proceedings of the Medical Imaging 2016: Image Processing, 2016
2015
Comput. Biol. Medicine, 2015
Int. J. Comput. Assist. Radiol. Surg., 2015
2014
Capturing large shape variations of liver using population-based statistical shape models.
Int. J. Comput. Assist. Radiol. Surg., 2014
Automatic Segmentation of Liver From CT Images Using Probabilistic Atlas and Template Matching.
Proceedings of the Smart Digital Futures 2014, 2014
2013
Segmentation of Liver in Low-Contrast Images Using K-Means Clustering and Geodesic Active Contour Algorithms.
IEICE Trans. Inf. Syst., 2013
Comput. Biol. Medicine, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Int. J. Comput. Assist. Radiol. Surg., 2012
2011
Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
2010
Liver Segmentation from Low Contrast Open MR Scans Using K-Means Clustering and Graph-Cuts.
Proceedings of the Advances in Neural Networks, 2010
2009
Comput. Medical Imaging Graph., 2009
Liver segmentation by intensity analysis and anatomical information in multi-slice CT images.
Int. J. Comput. Assist. Radiol. Surg., 2009
Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009
Multi-mode Narrow-band Thresholding with Application in Liver Segmentation from Low-contrast CT Images.
Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009
Proceedings of the Fifth International Conference on Natural Computation, 2009