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pro vyhledávání: '"Golby A"'
Autor:
Fehrentz, Maximilian, Azampour, Mohammad Farid, Dorent, Reuben, Rasheed, Hassan, Galvin, Colin, Golby, Alexandra, Wells, William M., Frisken, Sarah, Navab, Nassir, Haouchine, Nazim
We present in this paper a novel approach for 3D/2D intraoperative registration during neurosurgery via cross-modal inverse neural rendering. Our approach separates implicit neural representation into two components, handling anatomical structure pre
Externí odkaz:
http://arxiv.org/abs/2409.11983
Autor:
Rasheed, Hassan, Dorent, Reuben, Fehrentz, Maximilian, Kapur, Tina, Wells III, William M., Golby, Alexandra, Frisken, Sarah, Schnabel, Julia A., Haouchine, Nazim
We propose in this paper a texture-invariant 2D keypoints descriptor specifically designed for matching preoperative Magnetic Resonance (MR) images with intraoperative Ultrasound (US) images. We introduce a matching-by-synthesis strategy, where intra
Externí odkaz:
http://arxiv.org/abs/2409.08169
Autor:
Dorent, Reuben, Torio, Erickson, Haouchine, Nazim, Galvin, Colin, Frisken, Sarah, Golby, Alexandra, Kapur, Tina, Wells, William
Intraoperative ultrasound (iUS) imaging has the potential to improve surgical outcomes in brain surgery. However, its interpretation is challenging, even for expert neurosurgeons. In this work, we designed the first patient-specific framework that pe
Externí odkaz:
http://arxiv.org/abs/2405.09959
Autor:
Lo, Yui, Chen, Yuqian, Liu, Dongnan, Liu, Wan, Zekelman, Leo, Zhang, Fan, Rathi, Yogesh, Makris, Nikos, Golby, Alexandra J., Cai, Weidong, O'Donnell, Lauren J.
Shape plays an important role in computer graphics, offering informative features to convey an object's morphology and functionality. Shape analysis in brain imaging can help interpret structural and functionality correlations of the human brain. In
Externí odkaz:
http://arxiv.org/abs/2403.19001
Autor:
Baur, Kathleen, Xiong, Xin, Torio, Erickson, Du, Rose, Juvekar, Parikshit, Dorent, Reuben, Golby, Alexandra, Frisken, Sarah, Haouchine, Nazim
Although Digital Subtraction Angiography (DSA) is the most important imaging for visualizing cerebrovascular anatomy, its interpretation by clinicians remains difficult. This is particularly true when treating arteriovenous malformations (AVMs), wher
Externí odkaz:
http://arxiv.org/abs/2402.09636
Autor:
Haouchine, Nazim, Dorent, Reuben, Juvekar, Parikshit, Torio, Erickson, Wells III, William M., Kapur, Tina, Golby, Alexandra J., Frisken, Sarah
We present a novel method for intraoperative patient-to-image registration by learning Expected Appearances. Our method uses preoperative imaging to synthesize patient-specific expected views through a surgical microscope for a predicted range of tra
Externí odkaz:
http://arxiv.org/abs/2310.01735
Autor:
Dorent, Reuben, Haouchine, Nazim, Kögl, Fryderyk, Joutard, Samuel, Juvekar, Parikshit, Torio, Erickson, Golby, Alexandra, Ourselin, Sebastien, Frisken, Sarah, Vercauteren, Tom, Kapur, Tina, Wells, William M.
We introduce MHVAE, a deep hierarchical variational auto-encoder (VAE) that synthesizes missing images from various modalities. Extending multi-modal VAEs with a hierarchical latent structure, we introduce a probabilistic formulation for fusing multi
Externí odkaz:
http://arxiv.org/abs/2309.08747
Autor:
Chrisochoides, Nikos, Fedorov, Andrey, Liu, Yixun, Kot, Andriy, Foteinos, Panos, Drakopoulos, Fotis, Tsolakis, Christos, Billias, Emmanuel, Clatz, Olivier, Ayache, Nicholas, Golby, Alex, Black, Peter, Kikinis, Ron
Current neurosurgical procedures utilize medical images of various modalities to enable the precise location of tumors and critical brain structures to plan accurate brain tumor resection. The difficulty of using preoperative images during the surger
Externí odkaz:
http://arxiv.org/abs/2309.03336
Autor:
Chrisochoides, Nikos, Fedorov, Andriy, Drakopoulos, Fotis, Kot, Andriy, Liu, Yixun, Foteinos, Panos, Angelopoulos, Angelos, Clatz, Olivier, Ayache, Nicholas, Black, Peter M., Golby, Alex J., Kikinis, Ron
During neurosurgery, medical images of the brain are used to locate tumors and critical structures, but brain tissue shifts make pre-operative images unreliable for accurate removal of tumors. Intra-operative imaging can track these deformations but
Externí odkaz:
http://arxiv.org/abs/2308.10868
Autor:
Xue, Tengfei, Chen, Yuqian, Zhang, Chaoyi, Golby, Alexandra J., Makris, Nikos, Rathi, Yogesh, Cai, Weidong, Zhang, Fan, O'Donnell, Lauren J.
Diffusion MRI tractography parcellation classifies streamlines into anatomical fiber tracts to enable quantification and visualization for clinical and scientific applications. Current tractography parcellation methods rely heavily on registration, b
Externí odkaz:
http://arxiv.org/abs/2307.09000