13. MICCAI 2010:
Beijing,
China - Prostate Cancer Imaging
Anant Madabhushi, Jason Dowling, Pingkun Yan, Aaron Fenster, Purang Abolmaesumi, Nobuhiko Hata (Eds.):
Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention - International Workshop, Held in Conjunction with MICCAI 2010, Beijing, China, September 24, 2010. Proceedings.
Lecture Notes in Computer Science 6367 Springer 2010, ISBN 978-3-642-15988-6 
- Jurgen J. Fütterer:
Prostate Cancer MR Imaging.
1-3
- Henkjan J. Huisman, Pieter C. Vos, Geert J. S. Litjens, Thomas Hambrock, Jelle O. Barentsz:
Computer Aided Detection of Prostate Cancer Using T2, DWI and DCE MRI: Methods and Clinical Applications.
4-14
- Yusuf Artan, Masoom A. Haider, Imam Samil Yetik:
Prostate Cancer Segmentation Using Multispectral Random Walks.
15-24
- Jason Dowling, Jonathan Lambert, Joel Parker, Peter B. Greer, Jurgen Fripp, James Denham, Sébastien Ourselin, Olivier Salvado:
Automatic MRI Atlas-Based External Beam Radiation Therapy Treatment Planning for Prostate Cancer.
25-33
- Xiao Han, Lyndon S. Hibbard, Virgil Willcut:
An Efficient Inverse-Consistent Diffeomorphic Image Registration Method for Prostate Adaptive Radiotherapy.
34-41
- Oscar Acosta, Jason Dowling, Guillaume Cazoulat, Antoine Simon, Olivier Salvado, Renaud de Crevoisier, Pascal Haigron:
Atlas Based Segmentation and Mapping of Organs at Risk from Planning CT for the Development of Voxel-Wise Predictive Models of Toxicity in Prostate Radiotherapy.
42-51
- Samuel Kadoury, Pingkun Yan, Sheng Xu, Neil D. Glossop, Peter L. Choyke, Baris Turkbey, Peter Pinto, Bradford J. Wood, Jochen Kruecker:
Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates.
52-62
- John E. Tomaszeweski:
HistoCAD: Machine Facilitated Quantitative Histoimaging with Computer Assisted Diagnosis.
63-65
- Aaron D. Ward, Cathie Crukley, C. McKenzie, Jacques Montreuil, Eli Gibson, Jose A. Gomez, Madeleine Moussa, Glenn Bauman, Aaron Fenster:
Registration of In Vivo Prostate Magnetic Resonance Images to Digital Histopathology Images.
66-76
- Jun Xu, Rachel Sparks, Andrew Janowczyk, John E. Tomaszeweski, Michael D. Feldman, Anant Madabhushi:
High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies.
77-88
- Bikash Sabata, Boris Babenko, Robert Monroe, Chukka Srinivas:
Automated Analysis of PIN-4 Stained Prostate Needle Biopsies.
89-100
- Daniel Cohen, Erik Mayer, Dongbin Chen, Ann Anstee, Justin Vale, Guang-Zhong Yang, Ara Darzi, Philip J. Edwards:
Augmented Reality Image Guidance in Minimally Invasive Prostatectomy.
101-110
- Soumya Ghose, Arnau Oliver, Robert Marti, Xavier Lladó, Jordi Freixenet, Joan Carles Vilanova, Fabrice Meriaudeau:
Texture Guided Active Appearance Model Propagation for Prostate Segmentation.
111-120
- Ahmad Firjani, Ahmed Elnakib, Ayman El-Baz, Georgy L. Gimel'farb, Mohamed Abou El-Ghar, Adel Elmaghraby:
Novel Stochastic Framework for Accurate Segmentation of Prostate in Dynamic Contrast Enhanced MRI.
121-130
- Yan Zhang, Bogdan J. Matuszewski, Aymeric Histace, Frédéric Precioso, Judith Kilgallon, Christopher J. Moore:
Boundary Delineation in Prostate Imaging Using Active Contour Segmentation Method with Interactively Defined Object Regions.
131-142
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