Bibo Shi

Publication Activity (10 Years)

Years Active: 2011-2020
Publications (10 Years): 18

Top Topics

Metric Learning

Prostate Cancer

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Xin Yu, Bin Lou, Bibo Shi, David J. Winkel, Nacim Arrahmane, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Robert Grimm, Berthold Kiefer, Dorin Comaniciu, Ali Kamen, Henkjan J. Huisman, Andrew Rosenkrantz, Tobias Penzkofer, Ivan Shabunin, Moon Hyung Choi, Qingsong Yang, Dieter Szolar
False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans. ISBI (2020)
Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen
Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations. CoRR (2019)
Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen
Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations. IPMI (2019)
Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu
Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups. CoRR (2018)
Bibo Shi, Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Yinhao Ren, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning. Medical Imaging: Computer-Aided Diagnosis (2018)
Qi Wei, Yinhao Ren, Rui Hou, Bibo Shi, Joseph Y. Lo, Lawrence Carin
Anomaly detection for medical images based on a one-class classification. Medical Imaging: Computer-Aided Diagnosis (2018)
Bibo Shi, Jundong Liu
NN and SVMs through geometric transformations. Neurocomputing 318 (2018)
Rui Hou, Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features. Medical Imaging: Computer-Aided Diagnosis (2018)
Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu
Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups. ICPR (2018)
Bibo Shi, Yani Chen, Pin Zhang, Charles D. Smith, Jundong Liu
Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis. Pattern Recognit. 63 (2017)
Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features. Medical Imaging: Computer-Aided Diagnosis (2017)
Bibo Shi, Yani Chen, Pin Zhang, Charles D. Smith, Jundong Liu
Erratum to "Nonlinear feature transformation and deep fusion for Alzheimer's disease staging analysis" [Pattern Recognition 63 (2017) 487-498]. Pattern Recognit. 66 (2017)
Yani Chen, Bibo Shi, Zhewei Wang, Pin Zhang, Charles D. Smith, Jundong Liu
Hippocampus segmentation through multi-view ensemble ConvNets. ISBI (2017)
Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu
Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion. MICCAI (3) (2017)
Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features? Medical Imaging: Computer-Aided Diagnosis (2017)
Yani Chen, Bibo Shi, Zhewei Wang, Tao Sun, Charles D. Smith, Jundong Liu
Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble. MLMI@MICCAI (2017)
Kevin Hobbs, Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu
Quad-mesh based radial distance biomarkers for Alzheimer's disease. ISBI (2016)
Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu
Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting. ICMLA (2016)
Bibo Shi, Jundong Liu
Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations. CoRR (2015)
Bibo Shi, Yani Chen, Kevin Hobbs, Charles D. Smith, Jundong Liu
Nonlinear Metric Learning for Alzheimer's Disease Diagnosis with Integration of Longitudinal Neuroimaging Features. BMVC (2015)
Yani Chen, Bibo Shi, Charles D. Smith, Jundong Liu
Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis. MLMI (2015)
Bibo Shi, Zhewei Wang, Jundong Liu
Distance-informed metric learning for Alzheimer's disease staging. EMBC (2014)
Alexander Zamyatin, Gene Katsevich, Roman Krylov, Bibo Shi, Zhi Yang
Adaptive multi-scale total variation minimization filter for low dose CT imaging. Medical Imaging: Image Processing (2014)
Bibo Shi, Shuisheng Xie, Darlene E. Berryman, Edward O. List, Jundong Liu
Robust separation of visceral and subcutaneous adipose tissues in micro-CT of mice. EMBC (2013)
Bibo Shi, Jundong Liu
Regularity-guaranteed transformation estimation in medical image registration. Medical Imaging: Image Processing (2012)
Bibo Shi, Jundong Liu
Non-Twist Regularization for Deformation Estimation. MIUA (2011)