Zobrazeno 1 - 10
of 25 167
pro vyhledávání: '"Noble, P."'
Autor:
Zhang, Yike, Noble, Jack
Cochlear Implant (CI) procedures involve performing an invasive mastoidectomy to insert an electrode array into the cochlea. In this paper, we introduce a novel pipeline that is capable of generating synthetic multi-view videos from a single CI micro
Externí odkaz:
http://arxiv.org/abs/2409.03190
Machine learning (ML) models are powerful tools for detecting complex patterns within data, yet their "black box" nature limits their interpretability, hindering their use in critical domains like healthcare and finance. To address this challenge, in
Externí odkaz:
http://arxiv.org/abs/2408.17016
3D pose estimation from a 2D cross-sectional view enables healthcare professionals to navigate through the 3D space, and such techniques initiate automatic guidance in many image-guided radiology applications. In this work, we investigate how estimat
Externí odkaz:
http://arxiv.org/abs/2408.09931
Concept-based interpretability methods are a popular form of explanation for deep learning models which provide explanations in the form of high-level human interpretable concepts. These methods typically find concept activation vectors (CAVs) using
Externí odkaz:
http://arxiv.org/abs/2408.08652
The weighted transition polynomial of a multimatroid is a generalization of the Tutte polynomial. By defining the activity of a skew class with respect to a basis in a multimatroid, we obtain an activities expansion for the weighted transition polyno
Externí odkaz:
http://arxiv.org/abs/2408.05046
We present the first automated multimodal summary generation system, MMSummary, for medical imaging video, particularly with a focus on fetal ultrasound analysis. Imitating the examination process performed by a human sonographer, MMSummary is design
Externí odkaz:
http://arxiv.org/abs/2408.03761
Alterations in Heart Rate (HR) and Heart Rate Variability (HRV) can reflect autonomic dysfunction associated with neurodegeneration. We investigate the influence of Mild Cognitive Impairment (MCI) on HR and its variability measures in the Indian popu
Externí odkaz:
http://arxiv.org/abs/2408.02296
The Segment Anything Model 2 (SAM 2) is the latest generation foundation model for image and video segmentation. Trained on the expansive Segment Anything Video (SA-V) dataset, which comprises 35.5 million masks across 50.9K videos, SAM 2 advances it
Externí odkaz:
http://arxiv.org/abs/2408.01648
Autor:
Coerver, A., Zebrowski, J. A., Takakura, S., Holzapfel, W. L., Ade, P. A. R., Anderson, A. J., Ahmed, Z., Ansarinejad, B., Archipley, M., Balkenhol, L., Barron, D., Benabed, K., Bender, A. N., Benson, B. A., Bianchini, F., Bleem, L. E., Bouchet, F. R., Bryant, L., Camphuis, E., Carlstrom, J. E., Cecil, T. W., Chang, C. L., Chaubal, P., Chichura, P. M., Chokshi, A., Chou, T. -L., Crawford, T. M., Cukierman, A., Daley, C., de Haan, T., Dibert, K. R., Dobbs, M. A., Doussot, A., Dutcher, D., Everett, W., Feng, C., Ferguson, K. R., Fichman, K., Foster, A., Galli, S., Gambrel, A. E., Gardner, R. W., Ge, F., Goeckner-Wald, N., Gualtieri, R., Guidi, F., Guns, S., Halverson, N. W., Hivon, E., Holder, G. P., Hood, J. C., Hryciuk, A., Huang, N., Keruzore, F., Khalife, A. R., Knox, L., Korman, M., Kornoelje, K., Kuo, C. -L., Lee, A. T., Levy, K., Lowitz, A. E., Lu, C., Maniyar, A., Martsen, E. S., Menanteau, F., Millea, M., Montgomery, J., Nakato, Y., Natoli, T., Noble, G. I., Novosad, V., Omori, Y., Padin, S., Pan, Z., Paschos, P., Phadke, K. A., Pollak, A. W., Prabhu, K., Quan, W., Rahimi, M., Rahlin, A., Reichardt, C. L., Rouble, M., Ruhl, J. E., Schiappucci, E., Smecher, G., Sobrin, J. A., Stark, A. A., Stephen, J., Suzuki, A., Tandoi, C., Thompson, K. L., Thorne, B., Trendafilova, C., Tucker, C., Umilta, C., Vieira, J. D., Vitrier, A., Wan, Y., Wang, G., Whitehorn, N., Wu, W. L. K., Yefremenko, V., Young, M. R.
We present the detection and characterization of fluctuations in linearly polarized emission from the atmosphere above the South Pole. These measurements make use of Austral winter survey data from the SPT-3G receiver on the South Pole Telescope in t
Externí odkaz:
http://arxiv.org/abs/2407.20579
Time series from different regions of interest (ROI) of default mode network (DMN) from Functional Magnetic Resonance Imaging (fMRI) can reveal significant differences between healthy and unhealthy people. Here, we propose the utility of an existing
Externí odkaz:
http://arxiv.org/abs/2407.19990