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Bibo Shi
Bibo Shi
Hologic
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Titel
Zitiert von
Zitiert von
Jahr
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
JAMA network open 3 (3), e200265-e200265, 2020
3132020
Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations
C Qin, B Shi, R Liao, T Mansi, D Rueckert, A Kamen
International Conference on Information Processing in Medical Imaging, 249-261, 2019
1362019
Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis
B Shi, Y Chen, P Zhang, CD Smith, J Liu, ...
Pattern recognition 63, 487-498, 2017
1042017
Anomaly detection for medical images based on a one-class classification
Q Wei, Y Ren, R Hou, B Shi, JY Lo, L Carin
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105751M, 2018
942018
Prediction of occult invasive disease in ductal carcinoma in situ using deep learning features
B Shi, LJ Grimm, MA Mazurowski, JA Baker, JR Marks, LM King, ...
Journal of the American College of Radiology 15 (3), 527-534, 2018
732018
Hippocampus segmentation through multi-view ensemble ConvNets
Y Chen, B Shi, Z Wang, P Zhang, CD Smith, J Liu
Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on …, 2017
622017
Autonomous Detection and Classification of PI-RADS Lesions in an MRI Screening Population Incorporating Multicenter-labeled Deep Learning and Biparametric Imaging: Proof of Concept
DJ Winkel, C Wetterauer, MO Matthias, B Lou, B Shi, A Kamen, ...
Diagnostics 10 (11), 951, 2020
402020
False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans
X Yu, B Lou, B Shi, D Winkel, N Arrahmane, M Diallo, T Meng, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1355-1359, 2020
372020
Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble
Y Chen, B Shi, Z Wang, T Sun, CD Smith, J Liu
International Workshop on Machine Learning in Medical Imaging, 88-96, 2017
292017
Nonlinear metric learning for kNN and SVMs through geometric transformations
B Shi, J Liu
Neurocomputing 318, 18-29, 2018
212018
Can Occult Invasive Disease in Ductal Carcinoma In Situ Be Predicted Using Computer-extracted Mammographic Features?
B Shi, LJ Grimm, MA Mazurowski, JA Baker, JR Marks, LM King, ...
Academic radiology 24 (9), 1139-1147, 2017
212017
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms. JAMA Netw Open. 2020; 3 (3): 200265
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
202020
Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning …
DJ Winkel, HC Breit, B Shi, DT Boll, HH Seifert, C Wetterauer
Quantitative Imaging in Medicine and Surgery 10 (4), 808, 2020
192020
Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning
B Shi, R Hou, MA Mazurowski, LJ Grimm, Y Ren, JR Marks, LM King, ...
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105752R, 2018
172018
LOCALIZATION AND CLASSIFICATION OF ABNORMALITIES IN MEDICAL IMAGES
A Kamen, A Tuysuzoglu, B Lou, B Shi, N Von Roden, K Abdelrahman, ...
US Patent App. 15/733,778, 2021
132021
Distance-informed metric learning for Alzheimer's disease staging
B Shi, Z Wang, J Liu
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
122014
Quad-mesh based radial distance biomarkers for alzheimer's disease
KH Hobbs, P Zhang, B Shi, CD Smith, J Liu
Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, 19-23, 2016
112016
Nonlinear Metric Learning for Alzheimer's Disease Diagnosis with Integration of Longitudinal Neuroimaging Features.
B Shi, Y Chen, K Hobbs, CD Smith, J Liu
BMVC, 138.1-138.13, 2015
92015
A combined local and global motion estimation and compensation method for cardiac CT
Q Tang, B Chiang, A Akinyemi, A Zamyatin, B Shi, S Nakanishi
Medical Imaging 2014: Physics of Medical Imaging 9033, 903304, 2014
92014
Unsupervised deformable registration for multi-modal images
B Shi, C Qin, R Liao, T Mansi, A Kamen
US Patent 11,158,069, 2021
82021
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