| Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study RD Rudyanto, S Kerkstra, EM Van Rikxoort, C Fetita, PY Brillet, C Lefevre, ... Medical image analysis 18 (7), 1217-1232, 2014 | 171 | 2014 |
| VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation T Kitrungrotsakul, XH Han, Y Iwamoto, L Lin, AH Foruzan, W Xiong, ... Computerized Medical Imaging and Graphics 75, 74-83, 2019 | 89 | 2019 |
| Liver segmentation by intensity analysis and anatomical information in multi-slice CT images AH Foruzan, R Aghaeizadeh Zoroofi, M Hori, Y Sato International journal of computer assisted radiology and surgery 4, 287-297, 2009 | 80 | 2009 |
| Segmentation of liver in low-contrast images using K-means clustering and geodesic active contour algorithms AH Foruzan, YW Chen, RA Zoroofi, A Furukawa, Y Sato, M Hori, ... IEICE TRANSACTIONS on Information and Systems 96 (4), 798-807, 2013 | 76 | 2013 |
| Improved segmentation of low-contrast lesions using sigmoid edge model AH Foruzan, YW Chen International journal of computer assisted radiology and surgery 11, 1267-1283, 2016 | 72 | 2016 |
| A knowledge-based technique for liver segmentation in CT data AH Foruzan, RA Zoroofi, M Hori, Y Sato Computerized Medical Imaging and Graphics 33 (8), 567-587, 2009 | 71 | 2009 |
| Predicting the principal strong ground motion parameters: A deep learning approach A Derakhshani, AH Foruzan Applied Soft Computing 80, 192-201, 2019 | 68 | 2019 |
| Segmentation of liver and spleen based on computational anatomy models C Dong, Y Chen, AH Foruzan, L Lin, X Han, T Tateyama, X Wu, G Xu, ... Computers in biology and medicine 67, 146-160, 2015 | 56 | 2015 |
| A Hessian-based filter for vascular segmentation of noisy hepatic CT scans AH Foruzan, RA Zoroofi, Y Sato, M Hori International journal of computer assisted radiology and surgery 7, 199-205, 2012 | 47 | 2012 |
| Robust hepatic vessel segmentation using multi deep convolution network T Kitrungrotsakul, XH Han, Y Iwamoto, AH Foruzan, L Lin, YW Chen Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and …, 2017 | 35 | 2017 |
| A generalized active shape model for segmentation of liver in low-contrast CT volumes M Esfandiarkhani, AH Foruzan Computers in Biology and Medicine 82, 59-70, 2017 | 32 | 2017 |
| Automatic liver tumor detection using EM/MPM algorithm and shape information Y Masuda, AH Foruzan, T Tateyama, YW Chen The 2nd International Conference on Software Engineering and Data Mining …, 2010 | 30 | 2010 |
| Liver segmentation from low contrast open MR scans using K-means clustering and graph-cuts YW Chen, K Tsubokawa, AH Foruzan Advances in Neural Networks-ISNN 2010: 7th International Symposium on Neural …, 2010 | 29 | 2010 |
| Improved PPG-based estimation of the blood pressure using latent space features A Hassani, AH Foruzan Signal, Image and Video Processing 13, 1141-1147, 2019 | 22 | 2019 |
| Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis S Kohara, T Tateyama, AH Foruzan, A Furukawa, S Kanasaki, ... 2011 18th IEEE International Conference on Image Processing, 2921-2924, 2011 | 21 | 2011 |
| Multimodality liver registration of Open-MR and CT scans AH Foruzan, HR Motlagh International journal of computer assisted radiology and surgery 10, 1253-1267, 2015 | 20 | 2015 |
| Integration of a knowledge-based constraint into generative models with applications in semi-automatic segmentation of liver tumors N Nasiri, AH Foruzan, YW Chen Biomedical Signal Processing and Control 57, 101725, 2020 | 17 | 2020 |
| Balancing the data term of graph-cuts algorithm to improve segmentation of hepatic vascular structures N Sangsefidi, AH Foruzan, A Dolati Computers in biology and medicine 93, 117-126, 2018 | 16 | 2018 |
| Automated segmentation of liver from 3d ct images A Foruzan International Journal of Computer Assisted Radiology and Surgery 1 (7), 71-73, 2006 | 16 | 2006 |
| Integration of CNN, CBMIR, and visualization techniques for diagnosis and quantification of covid-19 disease S Mohagheghi, M Alizadeh, SM Safavi, AH Foruzan, YW Chen IEEE Journal of Biomedical and Health Informatics 25 (6), 1873-1880, 2021 | 13 | 2021 |
