Classifying Masses as Benign or Malignant Based on Co-occurrence Matrix Textures: A Comparison Study of Different Gray Level Quantizations. - Gobert N. Lee; Takeshi Hara; Hiroshi Fujita 001 (Digital Mammography / IWDM, 2006)

Effect of quantization on co-occurrence matrix based texture features: An example study in mammography. - Gobert N. Lee; Murk J. Bottema; Takeshi Hara; Hiroshi Fujita 001 (Image Processing, 2006)

Significance of classification scores subsequent to feature selection. - Gobert N. Lee; Murk J. Bottema (Pattern Recognit. Lett., 2006)

K-means Clustering for Classifying Unlabelled MRI Data. - Gobert N. Lee; Hiroshi Fujita 001 (DICTA, 2007)

Classification of cirrhotic liver in Gadolinium-enhanced MR images. - Gobert N. Lee; Yoshikazu Uchiyama; Xuejun Zhang 001; Masayuki Kanematsu; Xiangrong Zhou; Takeshi Hara; Hiroki Kato; Hiroshi Kondo; Hiroshi Fujita 001; Hiroaki Hoshi (Computer-Aided Diagnosis, 2007)

Segmentation of liver region with tumorous tissues. - Xuejun Zhang 001; Gobert N. Lee; Tetsuji Tajima; Teruhiko Kitagawa; Masayuki Kanematsu; Xiangrong Zhou; Takeshi Hara; Hiroshi Fujita 001; Ryujiro Yokoyama; Hiroshi Kondo; Hiroaki Hoshi; Shigeru Nawano; et al. (Image Processing, 2007)

Automated segmentation of mammary gland regions in non-contrast torso CT images based on probabilistic atlas. - Xiangrong Zhou; M. Kan; Takeshi Hara; Hiroshi Fujita 001; Keiko Sugisaki; Ryujiro Yokoyama; Gobert N. Lee; Hiroaki Hoshi (Image Processing, 2007)

CAD on Brain, Fundus, and Breast Images. - Hiroshi Fujita 001; Yoshikazu Uchiyama; Toshiaki Nakagawa; Daisuke Fukuoka; Yuji Hatanaka; Takeshi Hara; Yoshinori Hayashi; Yuji Ikedo; Gobert N. Lee; Xin Gao 003; Xiangrong Zhou (MIMI, 2007)

Classification of Benign and Malignant Masses in Ultrasound Breast Image Based on Geometric and Echo Features. - Gobert N. Lee; Daisuke Fukuoka; Yuji Ikedo; Takeshi Hara; Hiroshi Fujita 001; Etsuo Takada; Tokiko Endo; Takako Morita (Digital Mammography / IWDM, 2008)

Unsupervised classification of cirrhotic livers using MRI data. - Gobert N. Lee; Masayuki Kanematsu; Hiroki Kato; Hiroshi Kondo; Xiangrong Zhou; Takeshi Hara; Hiroshi Fujita 001; Hiroaki Hoshi (Computer-Aided Diagnosis, 2008)

Automated segmentation of mammary gland regions in non-contrast X-ray CT images. - Xiangrong Zhou; Mingxu Han; Takeshi Hara; Hiroshi Fujita 001; Keiko Sugisaki; Huayue Chen; Gobert N. Lee; Ryujiro Yokoyama; Masayuki Kanematsu; Hiroaki Hoshi (Comput. Medical Imaging Graph., 2008)

Computer-aided diagnosis: The emerging of three CAD systems induced by Japanese health care needs. - Hiroshi Fujita 001; Yoshikazu Uchiyama; Toshiaki Nakagawa; Daisuke Fukuoka; Yuji Hatanaka; Takeshi Hara; Gobert N. Lee; Yoshinori Hayashi; Yuji Ikedo; Xin Gao 003; Xiangrong Zhou (Comput. Methods Programs Biomed., 2008)

Automated analysis of breast parenchymal patterns in whole breast ultrasound images: preliminary experience. - Yuji Ikedo; Takako Morita; Daisuke Fukuoka; Takeshi Hara; Gobert N. Lee; Hiroshi Fujita 001; Etsuo Takada; Tokiko Endo (Int. J. Comput. Assist. Radiol. Surg., 2009)

Classifying Breast Masses in Volumetric Whole Breast Ultrasound Data: A 2.5-Dimensional Approach. - Gobert N. Lee; Toshiaki Okada; Daisuke Fukuoka; Chisako Muramatsu; Takeshi Hara; Takako Morita; Etsuo Takada; Tokiko Endo; Hiroshi Fujita 001 (Digital Mammography / IWDM, 2010)

State-of-the-Art of Computer-Aided Detection/Diagnosis (CAD). - Hiroshi Fujita 001; Jane You; Qin Li 001; Hidetaka Arimura; Rie Tanaka; Shigeru Sanada; Noboru Niki; Gobert N. Lee; Takeshi Hara; Daisuke Fukuoka; Chisako Muramatsu; Tetsuro Katafuchi; et al. (ICMB, 2010)

Computer-aided mammography classification of malignant mass regions and normal regions based on novel texton features. - Xi-Zhao Li; Simon Williams; Gobert N. Lee; Min Deng (ICARCV, 2012)

Statistical Temporal Changes for Breast Cancer Detection: A Preliminary Study. - Gobert N. Lee; Mariusz Bajger (Digital Mammography / IWDM, 2014)

Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (DICTA, 2015)

Spatial Shape Constrained Fuzzy C-Means (FCM) Clustering for Nucleus Segmentation in Pap Smear Images. - Ratna Saha; Mariusz Bajger; Gobert N. Lee (DICTA, 2016)

Model-Guided Segmentation of Liver in CT and PET-CT Images of Child Patients Based on Statistical Region Merging. - Jirí Sedlár; Mariusz Bajger; Martin Caon; Gobert N. Lee (DICTA, 2016)

Improving Breast Mass Segmentation in Local Dense Background: An Entropy Based Optimization of Statistical Region Merging Method. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (Digital Mammography / IWDM, 2016)

Structured Micro-Pattern Based LBP Features for Classification of Masses in Dense Breasts. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (DICTA, 2017)

On the Feasibility of a Smartphone-based Solution to Rapid Qantitative Urinalysis using Nanomaterial Bioprobes. - Shaymaa Akraa; Feng Guo; Haifeng Shen; Youhong Tang; Jimmy Li; Gobert N. Lee; Ben Zhong Tang (MobiQuitous, 2017)

Circular shape constrained fuzzy clustering (CiscFC) for nucleus segmentation in Pap smear images. - Ratna Saha; Mariusz Bajger; Gobert N. Lee (Comput. Biol. Medicine, 2017)

Circular Shape Prior in Efficient Graph Based Image Segmentation to Segment Nucleus. - Ratna Saha; Mariusz Bajger; Gobert N. Lee (DICTA, 2018)

Segmentation of cervical nuclei using SLIC and pairwise regional contrast. - Ratna Saha; Mariusz Bajger; Gobert N. Lee (EMBC, 2018)

Deep learning and color variability in breast cancer histopathological images: a preliminary study. - Gobert N. Lee; Mariusz Bajger; Kevin Clark (IWBI, 2018)

Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (IWBI, 2018)

Paediatric Liver Segmentation for Low-Contrast CT Images. - Mariusz Bajger; Gobert N. Lee; Martin Caon (DATRA/PIPPI@MICCAI, 2018)

Superpixel texture analysis for classification of breast masses in dense background. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (IET Comput. Vis., 2018)

Organs-at-Risk Contouring on Head CT for RT Planning Using 3D Slicer- A Preliminary Study. - Nolwenn Jegou; Franck Desaize; Gobert N. Lee; Mariusz Bajger; Oscar Acosta; Julie Leseur; Renaud de Crevoisier; Martin Caon (BIBE, 2019)

Prior Guided Segmentation and Nuclei Feature Based Abnormality Detection in Cervical Cells. - Ratna Saha; Mariusz Bajger; Gobert N. Lee (BIBE, 2019)

SRM Superpixel Merging Framework for Precise Segmentation of Cervical Nucleus. - Ratna Saha; Mariusz Bajger; Gobert N. Lee (DICTA, 2019)

Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (GLMI@MICCAI, 2019)

Lumbar Spine CT synthesis from MR images using CycleGAN - a preliminary study. - Mariusz Bajger; Minh-Son To; Gobert N. Lee; Adam Wells; Chee Chong; Marc Agzarian; Santosh Poonnoose (DICTA, 2021)

Texture enhanced Statistical Region Merging with application to automatic knee bones segmentation from CT. - Michael Howes; Mariusz Bajger; Gobert N. Lee; Francesca Bucci; Saulo Martelli (DICTA, 2021)