Zobrazeno 1 - 10
of 4 968
pro vyhledávání: '"Pernkopf"'
Autor:
Krebs C; Department of Cellular and Physiological Sciences, HIVE, Faculty of Medicine, Faculty of Arts, The University of British Columbia, Vancouver, BC, Canada., Schwab K; Medical Undergraduate Program, The University of British Columbia, Vancouver, BC, Canada., Kahlon M; Medical Undergraduate Program, The University of British Columbia, Vancouver, BC, Canada., Bratanovic I; Medical Undergraduate Program, The University of British Columbia, Vancouver, BC, Canada., Greenwood A; Walter C. Koerner Library, University of British Columbia Library, Vancouver, BC, Canada., Rosenblum S; Morris and Helen Belkin Art Gallery, The University of British Columbia, Vancouver, BC, Canada., Hildebrandt S; Division of General Pediatrics, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA. Electronic address: sabine.hildebrandt@childrens.harvard.edu.
Publikováno v:
Lancet (London, England) [Lancet] 2024 Nov 16; Vol. 404 (10466), pp. 1921-1922. Date of Electronic Publication: 2024 Oct 30.
Autor:
Scheinfeld, Laurel1 laurel.scheinfeld@stonybrook.edu, Saragossi, Jamie2 jamie.saragossi@stonybrook.edu, Kasten-Mutkus, Kathleen3 kathleen.kasten@stonybrook.edu
Publikováno v:
Library Resources & Technical Services. Oct2020, Vol. 64 Issue 4, p165-176. 12p.
Autor:
Kantz, Benedikt, Staudinger, Clemens, Feilmayr, Christoph, Wachlmayr, Johannes, Haberl, Alexander, Schuster, Stefan, Pernkopf, Franz
eXplainable Artificial Intelligence (XAI) aims at providing understandable explanations of black box models. In this paper, we evaluate current XAI methods by scoring them based on ground truth simulations and sensitivity analysis. To this end, we us
Externí odkaz:
http://arxiv.org/abs/2407.09127
The Bethe free energy approximation provides an effective way for relaxing NP-hard problems of probabilistic inference. However, its accuracy depends on the model parameters and particularly degrades if a phase transition in the model occurs. In this
Externí odkaz:
http://arxiv.org/abs/2405.15514
Bayesian causal inference (BCI) naturally incorporates epistemic uncertainty about the true causal model into down-stream causal reasoning tasks by posterior averaging over causal models. However, this poses a tremendously hard computational problem
Externí odkaz:
http://arxiv.org/abs/2402.14781
Autor:
Sabine Hildebrandt, Demetrius M. Coombs, J. Henk Coert, Andrew Yee, William E. Seidelman, Susan E. Mackinnon
Publikováno v:
Neurosurgery, 84(2), 491. Lippincott Williams and Wilkins
J Biocommun
J Biocommun
Background Pernkopf's atlas of Anatomy contains anatomical plates with detailed images of the peripheral nerves. Its use is controversial due to the author's association with the "Third Reich" and the potential depiction of victims of the Holocaust.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0999a6dffa69a8bd50c10ac3933642c
https://doi.org/10.5210/jbc.v45i1.10823
https://doi.org/10.5210/jbc.v45i1.10823
Nazi Rejimi dönemi anatomistlerinden Eduard Pernkopf’un Atlası, ilk baskısını 1937 yılında yapmıştır. Zamanla farklı dillere çevrilen ve üst üste baskılar yapan Atlas, uzun yıllar tüm dünyada anatomi eğitiminde kullanılan öneml
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10184::af732d7958b9d1fd0c65d53006178aed
https://hdl.handle.net/20.500.12933/1304
https://hdl.handle.net/20.500.12933/1304
Publikováno v:
2023 20th European Radar Conference (EuRAD) (pp. 135-138). IEEE
In automotive applications, frequency modulated continuous wave (FMCW) radar is an established technology to determine the distance, velocity and angle of objects in the vicinity of the vehicle. The quality of predictions might be seriously impaired
Externí odkaz:
http://arxiv.org/abs/2401.05385
In this paper we propose a new method for training neural networks (NNs) for frequency modulated continuous wave (FMCW) radar mutual interference mitigation. Instead of training NNs to regress from interfered to clean radar signals as in previous wor
Externí odkaz:
http://arxiv.org/abs/2312.09790
We present a data-driven car occupancy detection algorithm using ultra-wideband radar based on the ResNet architecture. The algorithm is trained on a dataset of channel impulse responses obtained from measurements at three different activity levels o
Externí odkaz:
http://arxiv.org/abs/2311.10478