Bibo Shi

According to our database, Bibo Shi authored at least 24 papers between 2011 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans.

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations.

Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Nonlinear metric learning for <i>k</i>NN and SVMs through geometric transformations.

Bibo Shi, Jundong Liu

Neurocomputing, 2018

Anomaly detection for medical images based on a one-class classification.

Qi Wei, Yinhao Ren, Rui Hou, Bibo Shi, Joseph Y. Lo, Lawrence Carin

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning.

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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features.

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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups.

Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Erratum to "Nonlinear feature transformation and deep fusion for Alzheimer's disease staging analysis" [Pattern Recognition 63 (2017) 487-498].

Bibo Shi, Yani Chen, Pin Zhang, Charles D. Smith, Jundong Liu

Pattern Recognit., 2017

Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis.

Bibo Shi, Yani Chen, Pin Zhang, Charles D. Smith, Jundong Liu

Pattern Recognit., 2017

Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion.

Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble.

Yani Chen, Bibo Shi, Zhewei Wang, Tao Sun, Charles D. Smith, Jundong Liu

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?

Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features.

Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Hippocampus segmentation through multi-view ensemble ConvNets.

Yani Chen, Bibo Shi, Zhewei Wang, Pin Zhang, Charles D. Smith, Jundong Liu

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Quad-mesh based radial distance biomarkers for Alzheimer's disease.

Kevin Hobbs, Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting.

Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations.

Bibo Shi, Jundong Liu

CoRR, 2015

Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis.

Yani Chen, Bibo Shi, Charles D. Smith, Jundong Liu

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Nonlinear Metric Learning for Alzheimer's Disease Diagnosis with Integration of Longitudinal Neuroimaging Features.

Bibo Shi, Yani Chen, Kevin Hobbs, Charles D. Smith, Jundong Liu

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Adaptive multi-scale total variation minimization filter for low dose CT imaging.

Alexander Zamyatin, Gene Katsevich, Roman Krylov, Bibo Shi, Zhi Yang

Proceedings of the Medical Imaging 2014: Image Processing, 2014

Distance-informed metric learning for Alzheimer's disease staging.

Bibo Shi, Zhewei Wang, Jundong Liu

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Robust separation of visceral and subcutaneous adipose tissues in micro-CT of mice.

Bibo Shi, Shuisheng Xie, Darlene E. Berryman, Edward O. List, Jundong Liu

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Regularity-guaranteed transformation estimation in medical image registration.

Bibo Shi, Jundong Liu

Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011

Non-Twist Regularization for Deformation Estimation.

Bibo Shi, Jundong Liu

Proceedings of the Medical Image Understanding and Analysis, 2011