Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Kidzinski, Lukasz"'
Autor:
Thomas, Kevin A., Krzemiński, Dominik, Kidziński, Łukasz, Paul, Rohan, Rubin, Elka B., Halilaj, Eni, Black, Marianne S., Chaudhari, Akshay, Gold, Garry E., Delp, Scott L.
Objective: We evaluate a fully-automated femoral cartilage segmentation model for measuring T2 relaxation values and longitudinal changes using multi-echo spin echo (MESE) MRI. We have open sourced this model and corresponding segmentations. Methods:
Externí odkaz:
http://arxiv.org/abs/2012.12406
Unmeasured or latent variables are often the cause of correlations between multivariate measurements, which are studied in a variety of fields such as psychology, ecology, and medicine. For Gaussian measurements, there are classical tools such as fac
Externí odkaz:
http://arxiv.org/abs/2010.02469
In this work, we build upon existing methods for occlusion-aware 3D pose detection in videos. We implement a two stage architecture that consists of the stacked hourglass network to produce 2D pose predictions, which are then inputted into a temporal
Externí odkaz:
http://arxiv.org/abs/2006.13517
Ability to quantify and predict progression of a disease is fundamental for selecting an appropriate treatment. Many clinical metrics cannot be acquired frequently either because of their cost (e.g. MRI, gait analysis) or because they are inconvenien
Externí odkaz:
http://arxiv.org/abs/1905.10705
Autor:
Kita, Kinga, Kidziński, Łukasz
Road traffic injuries are a leading cause of death worldwide. Proper estimation of car accident risk is critical for appropriate allocation of resources in healthcare, insurance, civil engineering, and other industries. We show how images of houses a
Externí odkaz:
http://arxiv.org/abs/1904.05270
Autor:
Kidziński, Łukasz, Ong, Carmichael, Mohanty, Sharada Prasanna, Hicks, Jennifer, Carroll, Sean F., Zhou, Bo, Zeng, Hongsheng, Wang, Fan, Lian, Rongzhong, Tian, Hao, Jaśkowski, Wojciech, Andersen, Garrett, Lykkebø, Odd Rune, Toklu, Nihat Engin, Shyam, Pranav, Srivastava, Rupesh Kumar, Kolesnikov, Sergey, Hrinchuk, Oleksii, Pechenko, Anton, Ljungström, Mattias, Wang, Zhen, Hu, Xu, Hu, Zehong, Qiu, Minghui, Huang, Jun, Shpilman, Aleksei, Sosin, Ivan, Svidchenko, Oleg, Malysheva, Aleksandra, Kudenko, Daniel, Rane, Lance, Bhatt, Aditya, Wang, Zhengfei, Qi, Penghui, Yu, Zeyang, Peng, Peng, Yuan, Quan, Li, Wenxin, Tian, Yunsheng, Yang, Ruihan, Ma, Pingchuan, Khadka, Shauharda, Majumdar, Somdeb, Dwiel, Zach, Liu, Yinyin, Tumer, Evren, Watson, Jeremy, Salathé, Marcel, Levine, Sergey, Delp, Scott
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a given time-varying velocity vector. Top participants were invited to desc
Externí odkaz:
http://arxiv.org/abs/1902.02441
Akademický článek
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Autor:
Kidziński, Łukasz, Hastie, Trevor
In clinical practice and biomedical research, measurements are often collected sparsely and irregularly in time while the data acquisition is expensive and inconvenient. Examples include measurements of spine bone mineral density, cancer growth throu
Externí odkaz:
http://arxiv.org/abs/1809.08771
Autor:
Kidziński, Łukasz, Mohanty, Sharada Prasanna, Ong, Carmichael, Huang, Zhewei, Zhou, Shuchang, Pechenko, Anton, Stelmaszczyk, Adam, Jarosik, Piotr, Pavlov, Mikhail, Kolesnikov, Sergey, Plis, Sergey, Chen, Zhibo, Zhang, Zhizheng, Chen, Jiale, Shi, Jun, Zheng, Zhuobin, Yuan, Chun, Lin, Zhihui, Michalewski, Henryk, Miłoś, Piotr, Osiński, Błażej, Melnik, Andrew, Schilling, Malte, Ritter, Helge, Carroll, Sean, Hicks, Jennifer, Levine, Sergey, Salathé, Marcel, Delp, Scott
In the NIPS 2017 Learning to Run challenge, participants were tasked with building a controller for a musculoskeletal model to make it run as fast as possible through an obstacle course. Top participants were invited to describe their algorithms. In
Externí odkaz:
http://arxiv.org/abs/1804.00361
Autor:
Kidziński, Łukasz, Mohanty, Sharada P., Ong, Carmichael, Hicks, Jennifer L., Carroll, Sean F., Levine, Sergey, Salathé, Marcel, Delp, Scott L.
Synthesizing physiologically-accurate human movement in a variety of conditions can help practitioners plan surgeries, design experiments, or prototype assistive devices in simulated environments, reducing time and costs and improving treatment outco
Externí odkaz:
http://arxiv.org/abs/1804.00198