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Bibo Shi
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2020 – today
- 2020
- [c20]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: 1355-1359
2010 – 2019
- 2019
- [c19]Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen:
Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations. IPMI 2019: 249-261 - [i3]Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen:
Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations. CoRR abs/1903.09331 (2019) - 2018
- [j3]Bibo Shi, Jundong Liu:
Nonlinear metric learning for kNN and SVMs through geometric transformations. Neurocomputing 318: 18-29 (2018) - [c18]Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups. ICPR 2018: 898-903 - [c17]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: 105750R - [c16]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: 105751M - [c15]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: 105752R - [i2]Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups. CoRR abs/1805.04784 (2018) - 2017
- [j2]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: 487-498 (2017) - [j1]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: 447 (2017) - [c14]Yani Chen, Bibo Shi, Zhewei Wang, Pin Zhang, Charles D. Smith, Jundong Liu:
Hippocampus segmentation through multi-view ensemble ConvNets. ISBI 2017: 192-196 - [c13]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: 101341I - [c12]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: 101342X - [c11]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: 12-20 - [c10]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: 88-96 - 2016
- [c9]Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting. ICMLA 2016: 314-319 - [c8]Kevin Hobbs, Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu:
Quad-mesh based radial distance biomarkers for Alzheimer's disease. ISBI 2016: 19-23 - 2015
- [c7]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: 138.1-138.13 - [c6]Yani Chen, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis. MLMI 2015: 304-312 - [i1]Bibo Shi, Jundong Liu:
Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations. CoRR abs/1508.01534 (2015) - 2014
- [c5]Bibo Shi, Zhewei Wang, Jundong Liu:
Distance-informed metric learning for Alzheimer's disease staging. EMBC 2014: 934-937 - [c4]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: 903426 - 2013
- [c3]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: 2312-2315 - 2012
- [c2]Bibo Shi, Jundong Liu:
Regularity-guaranteed transformation estimation in medical image registration. Medical Imaging: Image Processing 2012: 83141W - 2011
- [c1]Bibo Shi, Jundong Liu:
Non-Twist Regularization for Deformation Estimation. MIUA 2011: 147-152
Coauthor Index
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