Abstract is missing.
- A Learning Based Hierarchical Framework for Automatic Prostate Localization in CT ImagesShu Liao, Dinggang Shen. 1-9 [doi]
- Fast Automatic Multi-atlas Segmentation of the Prostate from 3D MR ImagesJason Dowling, Jurgen Fripp, Shekhar Chandra, Josien P. W. Pluim, Jonathan Lambert, Joel Parker, James Denham, Peter B. Greer, Olivier Salvado. 10-21 [doi]
- A Morphological Atlas of Prostate's Zonal Anatomy for Construction of Realistic Digital and Physical PhantomsNasr Makni, A. Iancu, Philippe A. Puech, Serge Mordon, Nacim Betrouni. 22-34 [doi]
- Multiple Mean Models of Statistical Shape and Probability Priors for Automatic Prostate SegmentationSoumya Ghose, Arnau Oliver, Robert Marti, Xavier Lladó, Jordi Freixenet, Jhimli Mitra, Joan Carles Vilanova, Josep Comet, Fabrice Meriaudeau. 35-46 [doi]
- Facilitating 3D Spectroscopic Imaging through Automatic Prostate Localization in MR Images Using Random Walker Segmentation Initialized via Boosted ClassifiersParmeshwar Khurd, Leo Grady, Kalpitkumar Gajera, Mamadou Diallo, Peter Gall, Martin Requardt, Berthold Kiefer, Clifford Weiss, Ali Kamen. 47-56 [doi]
- Intrafraction Prostate Motion Correction Using a Non-rectilinear Image FrameRupert Brooks. 57-59 [doi]
- Spatial Characterization and Classification of Rectal Bleeding in Prostate Cancer Radiotherapy with a Voxel-Based Principal Components Analysis Model for 3D Dose DistributionBaiyang Chen, Oscar Acosta, Amar Kachenoura, Juan David Ospina, Gaël Dréan, Antoine Simon, Jean-Jacques Bellanger, Pascal Haigron, Renaud de Crevoisier. 60-69 [doi]
- Dose Monitoring in Prostate Cancer Radiotherapy Using CBCT to CT Constrained Elastic Image RegistrationGuillaume Cazoulat, Antoine Simon, Oscar Acosta, Juan David Ospina, Khemara Gnep, Romain Viard, Renaud de Crevoisier, Pascal Haigron. 70-79 [doi]
- Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the ProstatePallavi Tiwari, Satish Viswanath, John Kurhanewicz, Anant Madabhushi. 80-91 [doi]
- Required Accuracy of MR-US Registration for Prostate BiopsiesWendy J. M. van de Ven, Geert J. S. Litjens, Jelle O. Barentsz, Thomas Hambrock, Henkjan J. Huisman. 92-99 [doi]
- A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate CancerBaowei Fei, Viraj Master, Peter Nieh, Hamed Akbari, Xiaofeng Yang, Aaron Fenster, David Schuster. 100-108 [doi]
- Improving Prostate Biopsy Protocol with a Computer Aided Detection Tool Based on Semi-supervised LearningFrancesca Galluzzo, Nicola Testoni, Luca De Marchi, Nicolo Speciale, Guido Masetti. 109-120 [doi]
- Fusion of MRI to 3D TRUS for Mechanically-Assisted Targeted Prostate Biopsy: System Design and Initial Clinical ExperienceDerek Cool, Jeff Bax, Cesare Romagnoli, Aaron D. Ward, Lori Gardi, Vaishali V. Karnik, Jonathan Izawa, Joseph L. Chin, Aaron Fenster. 121-133 [doi]
- Validation of Direct Registration of Whole-Mount Prostate Digital Histopathology to ex vivo MR ImagesEli Gibson, Cathie Crukley, Jose A. Gomez, Madeleine Moussa, Joseph L. Chin, Glenn Bauman, Aaron Fenster, Aaron D. Ward. 134-145 [doi]
- Variable Ranking with PCA: Finding Multiparametric MR Imaging Markers for Prostate Cancer Diagnosis and GradingShoshana Ginsburg, Pallavi Tiwari, John Kurhanewicz, Anant Madabhushi. 146-157 [doi]