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MICCAI
2009
Springer
16 years 5 months ago
Constructing a Dictionary of Human Brain Folding Patterns
Abstract. Brain imaging provides a wealth of information that computers can explore at a massive scale. Categorizing the patterns of the human cortex has been a challenging issue f...
Zhong Yi Sun, Matthieu Perrot, Alan Tucholka, Deni...
MICCAI
2007
Springer
16 years 5 months ago
Towards Subject-Specific Models of the Dynamic Heart for Image-Guided Mitral Valve Surgery
Abstract. Surgeons need a robust interventional system capable of providing reliable, real-time information regarding the position and orientation of the surgical targets and tools...
Cristian A. Linte, Marcin Wierzbicki, John Moore, ...
CBMS
2006
IEEE
15 years 10 months ago
Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia
The growing availability of high throughput measurement devices in the operating room makes possible the collection of a huge amount of data about the state of the patient and the...
Olivier Caelen, Gianluca Bontempi, Eddy Coussaert,...
IPMI
2009
Springer
15 years 11 months ago
Smooth 3-D Reconstruction for 2-D Histological Images
We present an image driven approach to the reconstruction of 3-D volumes from stacks of 2-D post-mortem sections (histology, cryoimaging, autoradiography or immunohistochemistry) i...
Amalia Cifor, Tony P. Pridmore, Alain Pitiot
CORR
2011
Springer
150views Education» more  CORR 2011»
14 years 11 months ago
Total variation regularization for fMRI-based prediction of behaviour
—While medical imaging typically provides massive amounts of data, the extraction of relevant information for predictive diagnosis remains a difficult challenge. Functional MRI ...
Vincent Michel, Alexandre Gramfort, Gaël Varo...