Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Eric L, Rosen"'
Publikováno v:
STAR Protocols, Vol 2, Iss 1, Pp 100240- (2021)
Summary: We describe a behavioral training protocol using visual perceptual learning (VPL) to improve visual detection skills in non-experts for subtle mammographic lesions indicative of breast cancer. This protocol can be adapted for the professiona
Externí odkaz:
https://doaj.org/article/57844387c27d4d60973b9d274c29e2ae
Autor:
Catherine J. Moran, Matthew J. Middione, Valentina Mazzoli, Jessica A. McKay‐Nault, Arnaud Guidon, Uzma Waheed, Eric L. Rosen, Steven P. Poplack, Jarrett Rosenberg, Daniel B. Ennis, Brian A. Hargreaves, Bruce L. Daniel
Publikováno v:
Journal of magnetic resonance imaging : JMRIReferences.
Diffusion-weighted imaging (DWI) may allow for breast cancer screening MRI without a contrast injection. Multishot methods improve prone DWI of the breasts but face different challenges in the supine position.To establish a multishot DWI (msDWI) prot
Autor:
Joseph Y. Cheng, Michael Carl, Marcus T. Alley, Brian A. Hargreaves, Catherine J. Moran, Bruce L. Daniel, Christopher M. Sandino, Jarrett Rosenberg, Eric L. Rosen, Sarah M. Pittman
Publikováno v:
J Magn Reson Imaging
The image quality limitations of echo-planar diffusion-weighted imaging (DWI) are an obstacle to its widespread adoption in the breast. Steady-state DWI is an alternative DWI method with more robust image quality but its contrast for imaging breast c
Autor:
Elizabeth Phillips, Gary Chien, David Whitney, James Tompkin, Stefanie Tellex, Eric L. Rosen, George Konidaris
Publikováno v:
The International Journal of Robotics Research. 38:1513-1526
Efficient motion intent communication is necessary for safe and collaborative work environments with co-located humans and robots. Humans efficiently communicate their motion intent to other humans through gestures, gaze, and other non-verbal cues, a
Autor:
Alice Chong, Ethan O. Cohen, Jessica W.T. Leung, Stephen A. Feig, Bonnie N. Joe, Sarah M. Pittman, Debra M. Ikeda, Eric L. Rosen, Shadi Aminololama-Shakeri, Anne C. Hoyt, Haydee Ojeda-Fournier, Lars J. Grimm, Pranay D. Kothari, Long Trinh, James S. Chalfant, John R. Downey, Rita E. Sohlich
Publikováno v:
Journal of breast imaging, vol 3, iss 3
Journal of Breast Imaging
Journal of Breast Imaging
Objective To determine the impact of the COVID-19 pandemic on breast imaging education. Methods A 22-item survey addressing four themes during the early pandemic (time on service, structured education, clinical training, future plans) was emailed to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13fa92d9bf03510bf44d09179729a0b8
https://escholarship.org/uc/item/3qx1q63s
https://escholarship.org/uc/item/3qx1q63s
Autor:
Addyson Smith, Elizabeth Phillips, Christian Barentine, Ryan Pfaffenbichler, Andrew McNay, Eric L. Rosen
Publikováno v:
HRI (Companion)
Advances in the capabilities of technologies like virtual reality (VR) and their rapid proliferation at consumer price points, have made it much easier to integrate them into existing robotic frameworks. VR interfaces are promising for robotics for s
Autor:
Jessica W.T. Leung, Pranay D. Kothari, Shadi Aminololama-Shakeri, Haydee Ojeda-Fournier, Lars J. Grimm, Stephen A. Feig, Sarah M. Pittman, Ethan O. Cohen, Long Trinh, Eric L. Rosen, Alice Chong, Debra M. Ikeda, Anne C. Hoyt, Bonnie N. Joe, John R. Downey, Rita E. Sohlich, James S. Chalfant
Publikováno v:
Journal of Breast Imaging
Objective To determine the early impact of the COVID-19 pandemic on breast imaging centers in California and Texas and compare regional differences. Methods An 11-item survey was emailed to American College of Radiology accredited breast imaging faci
Publikováno v:
IROS
We present a decision-theoretic model and robot system that interprets multimodal human communication to disambiguate item references by asking questions via a mixed reality (MR) interface. Existing approaches have either chosen to use physical behav
Autor:
Nishanth Kumar, Stefanie Tellex, George Konidaris, Eric L. Rosen, Nakul Gopalan, Daniel Ullman
Publikováno v:
IROS
We propose Action-Oriented Semantic Maps (AOSMs), a representation that enables a robot to acquire object manipulation behaviors and semantic information about the environment from a human teacher with a Mixed Reality Head-Mounted Display (MR-HMD). A
Publikováno v:
RO-MAN
Human behavior is powerfully guided by social and moral norms. Robots that enter human societies must therefore behave in norm-conforming ways as well. However, there is currently no cognitive, let alone computational model available of how humans re