| Computer-aided diagnosis: The emerging of three CAD systems induced by Japanese health care needs H Fujita, Y Uchiyama, T Nakagawa, D Fukuoka, Y Hatanaka, T Hara, ... Computer methods and programs in biomedicine 92 (3), 238-248, 2008 | 168 | 2008 |
| Spatial shape constrained fuzzy c-means (FCM) clustering for nucleus segmentation in pap smear images R Saha, M Bajger, G Lee 2016 international conference on digital image computing: techniques and …, 2016 | 46 | 2016 |
| Circular shape constrained fuzzy clustering (CiscFC) for nucleus segmentation in Pap smear images R Saha, M Bajger, G Lee Computers in Biology and Medicine 85, 13-23, 2017 | 27 | 2017 |
| K-means clustering for classifying unlabelled MRI data GN Lee, H Fujita 9th Biennial Conference of the Australian Pattern Recognition Society on …, 2007 | 27 | 2007 |
| Segmentation of breast masses in local dense background using adaptive clip limit-CLAHE S Sajeev, M Bajger, G Lee 2015 International Conference on Digital Image Computing: Techniques and …, 2015 | 20 | 2015 |
| Automated analysis of breast parenchymal patterns in whole breast ultrasound images: preliminary experience Y Ikedo, T Morita, D Fukuoka, T Hara, G Lee, H Fujita, E Takada, T Endo International journal of computer assisted radiology and surgery 4, 299-306, 2009 | 19 | 2009 |
| Automated segmentation of mammary gland regions in non-contrast X-ray CT images X Zhou, M Han, T Hara, H Fujita, K Sugisaki, H Chen, G Lee, R Yokoyama, ... Computerized Medical Imaging and Graphics 32 (8), 699-709, 2008 | 19 | 2008 |
| Segmentation of liver region with tumorous tissues X Zhang, G Lee, T Tajima, T Kitagawa, M Kanematsu, X Zhou, T Hara, ... Medical Imaging 2007: Image Processing 6512, 1070-1078, 2007 | 17 | 2007 |
| State-of-the-art of computer-aided detection/diagnosis (CAD) H Fujita, J You, Q Li, H Arimura, R Tanaka, S Sanada, N Niki, G Lee, ... Medical Biometrics: Second International Conference, ICMB 2010, Hong Kong …, 2010 | 16 | 2010 |
| 3D segmentation for multi-organs in CT images M Bajger, G Lee, M Caon ELCVIA: electronic letters on computer vision and image analysis 12 (2), 13-27, 2013 | 15 | 2013 |
| Automatic image feature extraction for diagnosis and prognosis of breast cancer MJ Bottema, GN Lee, S Lu Artificial Intelligence Techniques In Breast Cancer Diagnosis And Prognosis …, 2000 | 15 | 2000 |
| Computer-assisted segmentation of CT images by statistical region merging for the production of voxel models of anatomy for CT dosimetry M Caon, J Sedlář, M Bajger, G Lee Australasian Physical & Engineering Sciences in Medicine 37, 393-403, 2014 | 12 | 2014 |
| Multi-organ segmentation of CT images using statistical region merging G Lee, M Bajger, M Caon Biomedical Engineering (BioMed 2012): Proc. of the IASTED International …, 2012 | 12 | 2012 |
| SRM superpixel merging framework for precise segmentation of cervical nucleus R Saha, M Bajger, G Lee 2019 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2019 | 11 | 2019 |
| Segmentation of cervical nuclei using SLIC and pairwise regional contrast R Saha, M Bajger, G Lee 2018 40th Annual international conference of the IEEE Engineering in …, 2018 | 11 | 2018 |
| Imaging evaluation of a proposed 3D generative model for MRI to CT translation in the lumbar spine M Roberts, G Hinton, AJ Wells, J Van Der Veken, M Bajger, G Lee, Y Liu, ... The Spine Journal 23 (11), 1602-1612, 2023 | 10 | 2023 |
| Classification of benign and malignant masses in ultrasound breast image based on geometric and echo features GN Lee, D Fukuoka, Y Ikedo, T Hara, H Fujita, E Takada, T Endo, T Morita Digital Mammography: 9th International Workshop, IWDM 2008 Tucson, AZ, USA …, 2008 | 10 | 2008 |
| Classifying masses as benign or malignant based on co-occurrence matrix textures: a comparison study of different gray level quantizations GN Lee, T Hara, H Fujita International Workshop on Digital Mammography, 332-339, 2006 | 9 | 2006 |
| Prior guided segmentation and nuclei feature based abnormality detection in cervical cells R Saha, M Bajger, G Lee 2019 IEEE 19th international conference on bioinformatics and bioengineering …, 2019 | 8 | 2019 |
| Deep learning and color variability in breast cancer histopathological images: a preliminary study G Lee, M Bajger, K Clark 14th International Workshop on Breast Imaging (IWBI 2018) 10718, 370-375, 2018 | 8 | 2018 |
