Zobrazeno 1 - 10
of 4 713
pro vyhledávání: '"Greenspan, P."'
This work introduces a new framework, ProtoSAM, for one-shot medical image segmentation. It combines the use of prototypical networks, known for few-shot segmentation, with SAM - a natural image foundation model. The method proposed creates an initia
Externí odkaz:
http://arxiv.org/abs/2407.07042
Autor:
Cahan, Noa, Klang, Eyal, Aviram, Galit, Barash, Yiftach, Konen, Eli, Giryes, Raja, Greenspan, Hayit
Chest X-rays or chest radiography (CXR), commonly used for medical diagnostics, typically enables limited imaging compared to computed tomography (CT) scans, which offer more detailed and accurate three-dimensional data, particularly contrast-enhance
Externí odkaz:
http://arxiv.org/abs/2406.16109
We address the problem of federated domain generalization in an unsupervised setting for the first time. We first theoretically establish a connection between domain shift and alignment of gradients in unsupervised federated learning and show that al
Externí odkaz:
http://arxiv.org/abs/2405.16304
Deep learning models have emerged as the cornerstone of medical image segmentation, but their efficacy hinges on the availability of extensive manually labeled datasets and their adaptability to unforeseen categories remains a challenge. Few-shot seg
Externí odkaz:
http://arxiv.org/abs/2403.03273
Publikováno v:
IEEE Transactions on Medical Imaging, 41(12), Dec. 2022
The recent success of learning-based algorithms can be greatly attributed to the immense amount of annotated data used for training. Yet, many datasets lack annotations due to the high costs associated with labeling, resulting in degraded performance
Externí odkaz:
http://arxiv.org/abs/2312.15972
Autor:
Wu, Yangzheng, Greenspan, Michael
We address the simulation-to-real domain gap in six degree-of-freedom pose estimation (6DoF PE), and propose a novel self-supervised keypoint voting-based 6DoF PE framework, effectively narrowing this gap using a learnable kernel in RKHS. We formulat
Externí odkaz:
http://arxiv.org/abs/2311.09500
Catheter based radiofrequency ablation for pulmonary vein isolation has become the first line of treatment for atrial fibrillation in recent years. This requires a rather accurate map of the left atrial sub-endocardial surface including the ostia of
Externí odkaz:
http://arxiv.org/abs/2311.02488
For faster sampling and higher sample quality, we propose DiNof ($\textbf{Di}$ffusion with $\textbf{No}$rmalizing $\textbf{f}$low priors), a technique that makes use of normalizing flows and diffusion models. We use normalizing flows to parameterize
Externí odkaz:
http://arxiv.org/abs/2309.01274
A new method is proposed for human motion prediction by learning temporal and spatial dependencies. Recently, multiscale graphs have been developed to model the human body at higher abstraction levels, resulting in more stable motion prediction. Curr
Externí odkaz:
http://arxiv.org/abs/2308.16801
Autor:
Wu, Yangzheng, Greenspan, Michael
We address the problem of keypoint selection, and find that the performance of 6DoF pose estimation methods can be improved when pre-defined keypoint locations are learned, rather than being heuristically selected as has been the standard approach. W
Externí odkaz:
http://arxiv.org/abs/2308.07827