Gobert N. Lee

36 papers B 3C 4Misc 9Journal 6Unranked 14
YearRankTypeTitle / Venue / Authors
2021 Misc conf
Lumbar Spine CT synthesis from MR images using CycleGAN - a preliminary study.
DICTA
Mariusz Bajger, Minh-Son To, Gobert N. Lee, Adam Wells, Chee Chong, Marc Agzarian, Santosh Poonnoose
2021 Misc conf
Texture enhanced Statistical Region Merging with application to automatic knee bones segmentation from CT.
DICTA
Michael Howes, Mariusz Bajger, Gobert N. Lee, Francesca Bucci, Saulo Martelli
2019 — conf
Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram.
GLMI@MICCAI
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
2019 C conf
Organs-at-Risk Contouring on Head CT for RT Planning Using 3D Slicer- A Preliminary Study.
BIBE
Nolwenn Jegou, Franck Desaize, Gobert N. Lee, Mariusz Bajger, Oscar Acosta, Julie Leseur, Renaud de Crevoisier, Martin Caon
2019 C conf
Prior Guided Segmentation and Nuclei Feature Based Abnormality Detection in Cervical Cells.
BIBE
Ratna Saha, Mariusz Bajger, Gobert N. Lee
2019 Misc conf
SRM Superpixel Merging Framework for Precise Segmentation of Cervical Nucleus.
DICTA
Ratna Saha, Mariusz Bajger, Gobert N. Lee
2018 Misc conf
Circular Shape Prior in Efficient Graph Based Image Segmentation to Segment Nucleus.
DICTA
Ratna Saha, Mariusz Bajger, Gobert N. Lee
2018 — conf
Deep learning and color variability in breast cancer histopathological images: a preliminary study.
IWBI
Gobert N. Lee, Mariusz Bajger, Kevin Clark
2018 — conf
Paediatric Liver Segmentation for Low-Contrast CT Images.
DATRA/PIPPI@MICCAI
Mariusz Bajger, Gobert N. Lee, Martin Caon
2018 — conf
Segmentation of cervical nuclei using SLIC and pairwise regional contrast.
EMBC
Ratna Saha, Mariusz Bajger, Gobert N. Lee
2018 — conf
Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study.
IWBI
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
2018 J jnl
Superpixel texture analysis for classification of breast masses in dense background.
IET Comput. Vis.
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
2017 J jnl
Circular shape constrained fuzzy clustering (CiscFC) for nucleus segmentation in Pap smear images.
Comput. Biol. Medicine
Ratna Saha, Mariusz Bajger, Gobert N. Lee
2017 C conf
On the Feasibility of a Smartphone-based Solution to Rapid Qantitative Urinalysis using Nanomaterial Bioprobes.
MobiQuitous
Shaymaa Akraa, Feng Guo, Haifeng Shen, Youhong Tang, Jimmy Li, Gobert N. Lee, Ben Zhong Tang
2017 Misc conf
Structured Micro-Pattern Based LBP Features for Classification of Masses in Dense Breasts.
DICTA
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
2016 — conf
Improving Breast Mass Segmentation in Local Dense Background: An Entropy Based Optimization of Statistical Region Merging Method.
Digital Mammography / IWDM
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
2016 Misc conf
Model-Guided Segmentation of Liver in CT and PET-CT Images of Child Patients Based on Statistical Region Merging.
DICTA
Jirí Sedlár, Mariusz Bajger, Martin Caon, Gobert N. Lee
2016 Misc conf
Spatial Shape Constrained Fuzzy C-Means (FCM) Clustering for Nucleus Segmentation in Pap Smear Images.
DICTA
Ratna Saha, Mariusz Bajger, Gobert N. Lee
2015 Misc conf
Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE.
DICTA
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
2014 — conf
Statistical Temporal Changes for Breast Cancer Detection: A Preliminary Study.
Digital Mammography / IWDM
Gobert N. Lee, Mariusz Bajger
2012 C conf
Computer-aided mammography classification of malignant mass regions and normal regions based on novel texton features.
ICARCV
Xi-Zhao Li, Simon Williams, Gobert N. Lee, Min Deng
2010 — conf
Classifying Breast Masses in Volumetric Whole Breast Ultrasound Data: A 2.5-Dimensional Approach.
Digital Mammography / IWDM
Gobert N. Lee, Toshiaki Okada, Daisuke Fukuoka, Chisako Muramatsu, Takeshi Hara, Takako Morita, Etsuo Takada, Tokiko Endo, Hiroshi Fujita
2010 — conf
State-of-the-Art of Computer-Aided Detection/Diagnosis (CAD).
ICMB
Hiroshi Fujita, Jane You, Qin Li, Hidetaka Arimura, Rie Tanaka, Shigeru Sanada, Noboru Niki, Gobert N. Lee, Takeshi Hara, Daisuke Fukuoka, Chisako Muramatsu, Tetsuro Katafuchi, Gen Iinuma, Mototaka Miyake, Yasuaki Arai, Noriyuki Moriyama
2009 J jnl
Automated analysis of breast parenchymal patterns in whole breast ultrasound images: preliminary experience.
Int. J. Comput. Assist. Radiol. Surg.
Yuji Ikedo, Takako Morita, Daisuke Fukuoka, Takeshi Hara, Gobert N. Lee, Hiroshi Fujita, Etsuo Takada, Tokiko Endo
2008 J jnl
Automated segmentation of mammary gland regions in non-contrast X-ray CT images.
Comput. Medical Imaging Graph.
Xiangrong Zhou, Mingxu Han, Takeshi Hara, Hiroshi Fujita, Keiko Sugisaki, Huayue Chen, Gobert N. Lee, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi
2008 — conf
Classification of Benign and Malignant Masses in Ultrasound Breast Image Based on Geometric and Echo Features.
Digital Mammography / IWDM
Gobert N. Lee, Daisuke Fukuoka, Yuji Ikedo, Takeshi Hara, Hiroshi Fujita, Etsuo Takada, Tokiko Endo, Takako Morita
2008 J jnl
Computer-aided diagnosis: The emerging of three CAD systems induced by Japanese health care needs.
Comput. Methods Programs Biomed.
Hiroshi Fujita, Yoshikazu Uchiyama, Toshiaki Nakagawa, Daisuke Fukuoka, Yuji Hatanaka, Takeshi Hara, Gobert N. Lee, Yoshinori Hayashi, Yuji Ikedo, Xin Gao, Xiangrong Zhou
2008 — conf
Unsupervised classification of cirrhotic livers using MRI data.
Computer-Aided Diagnosis
Gobert N. Lee, Masayuki Kanematsu, Hiroki Kato, Hiroshi Kondo, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Hiroaki Hoshi
2007 B conf
Automated segmentation of mammary gland regions in non-contrast torso CT images based on probabilistic atlas.
Image Processing
Xiangrong Zhou, M. Kan, Takeshi Hara, Hiroshi Fujita, Keiko Sugisaki, Ryujiro Yokoyama, Gobert N. Lee, Hiroaki Hoshi
2007 — conf
CAD on Brain, Fundus, and Breast Images.
MIMI
Hiroshi Fujita, Yoshikazu Uchiyama, Toshiaki Nakagawa, Daisuke Fukuoka, Yuji Hatanaka, Takeshi Hara, Yoshinori Hayashi, Yuji Ikedo, Gobert N. Lee, Xin Gao, Xiangrong Zhou
2007 — conf
Classification of cirrhotic liver in Gadolinium-enhanced MR images.
Computer-Aided Diagnosis
Gobert N. Lee, Yoshikazu Uchiyama, Xuejun Zhang, Masayuki Kanematsu, Xiangrong Zhou, Takeshi Hara, Hiroki Kato, Hiroshi Kondo, Hiroshi Fujita, Hiroaki Hoshi
2007 Misc conf
K-means Clustering for Classifying Unlabelled MRI Data.
DICTA
Gobert N. Lee, Hiroshi Fujita
2007 B conf
Segmentation of liver region with tumorous tissues.
Image Processing
Xuejun Zhang, Gobert N. Lee, Tetsuji Tajima, Teruhiko Kitagawa, Masayuki Kanematsu, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Hiroshi Kondo, Hiroaki Hoshi, Shigeru Nawano, Kenji Shinozaki
2006 — conf
Classifying Masses as Benign or Malignant Based on Co-occurrence Matrix Textures: A Comparison Study of Different Gray Level Quantizations.
Digital Mammography / IWDM
Gobert N. Lee, Takeshi Hara, Hiroshi Fujita
2006 B conf
Effect of quantization on co-occurrence matrix based texture features: An example study in mammography.
Image Processing
Gobert N. Lee, Murk J. Bottema, Takeshi Hara, Hiroshi Fujita
2006 J jnl
Significance of classification scores subsequent to feature selection.
Pattern Recognit. Lett.
Gobert N. Lee, Murk J. Bottema