Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Wells III, William"'
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:
Sanhinova, Malika, Haouchine, Nazim, Pieper, Steve D., Wells III, William M., Balboni, Tracy A., Spektor, Alexander, Huynh, Mai Anh, Guenette, Jeffrey P., Czajkowski, Bryan, Caplan, Sarah, Doyle, Patrick, Kang, Heejoo, Hackney, David B., Alkalay, Ron N.
Accurate and reliable registration of longitudinal spine images is essential for assessment of disease progression and surgical outcome. Implementing a fully automatic and robust registration is crucial for clinical use, however, it is challenging du
Externí odkaz:
http://arxiv.org/abs/2402.09341
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
This paper presents a novel predictive model, MetaMorph, for metamorphic registration of images with appearance changes (i.e., caused by brain tumors). In contrast to previous learning-based registration methods that have little or no control over ap
Externí odkaz:
http://arxiv.org/abs/2303.04849
This paper proposes to extend local image features in 3D to include invariance to discrete symmetry including inversion of spatial axes and image contrast. A binary feature sign $s \in \{-1,+1\}$ is defined as the sign of the Laplacian operator $\nab
Externí odkaz:
http://arxiv.org/abs/2205.15456
Autor:
He, Hao, Zhang, Fan, Pieper, Steve, Makris, Nikos, Rathi, Yogesh, Wells III, William, O'Donnell, Lauren J.
The human brain's white matter (WM) structure is of immense interest to the scientific community. Diffusion MRI gives a powerful tool to describe the brain WM structure noninvasively. To potentially enable monitoring of age-related changes and invest
Externí odkaz:
http://arxiv.org/abs/2202.03595
Autor:
Carluer, Jean-Baptiste, Chauvin, Laurent, Luo, Jie, Wells III, William M., Machado, Ines, Harmouche, Rola, Toews, Matthew
This work details a highly efficient implementation of the 3D scale-invariant feature transform (SIFT) algorithm, for the purpose of machine learning from large sets of volumetric medical image data. The primary operations of the 3D SIFT code are imp
Externí odkaz:
http://arxiv.org/abs/2112.10258
Autor:
Xu, Zhe, Luo, Jie, Lu, Donghuan, Yan, Jiangpeng, Frisken, Sarah, Jagadeesan, Jayender, Wells III, William, Li, Xiu, Zheng, Yefeng, Tong, Raymond
In order to tackle the difficulty associated with the ill-posed nature of the image registration problem, regularization is often used to constrain the solution space. For most learning-based registration approaches, the regularization usually has a
Externí odkaz:
http://arxiv.org/abs/2107.02433
We propose a novel pairwise distance measure between image keypoint sets, for the purpose of large-scale medical image indexing. Our measure generalizes the Jaccard index to account for soft set equivalence (SSE) between keypoint elements, via an ada
Externí odkaz:
http://arxiv.org/abs/2103.06966
Autor:
Mehrtash, Alireza, Abolmaesumi, Purang, Golland, Polina, Kapur, Tina, Wassermann, Demian, Wells III, William M.
Ensembling is now recognized as an effective approach for increasing the predictive performance and calibration of deep networks. We introduce a new approach, Parameter Ensembling by Perturbation (PEP), that constructs an ensemble of parameter values
Externí odkaz:
http://arxiv.org/abs/2010.12721