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pro vyhledávání: '"Whitaker, Ross T"'
Autor:
Li, Xiwen, Mohammed, Rehman, Mangin, Tristalee, Saha, Surojit, Whitaker, Ross T, Kelly, Kerry E., Tasdizen, Tolga
Idling vehicle detection (IVD) can be helpful in monitoring and reducing unnecessary idling and can be integrated into real-time systems to address the resulting pollution and harmful products. The previous approach [13], a non-end-to-end model, requ
Externí odkaz:
http://arxiv.org/abs/2410.21170
Autor:
Ferrero, Alessandro, Ghelichkhan, Elham, Manoochehri, Hamid, Ho, Man Minh, Albertson, Daniel J., Brintz, Benjamin J., Tasdizen, Tolga, Whitaker, Ross T., Knudsen, Beatrice S.
Publikováno v:
In Modern Pathology April 2024 37(4)
Correspondence-based shape models are key to various medical imaging applications that rely on a statistical analysis of anatomies. Such shape models are expected to represent consistent anatomical features across the population for population-specif
Externí odkaz:
http://arxiv.org/abs/2102.10493
Autor:
Perry, Daniel J, Keshavarzzadeh, Vahid, Elhabian, Shireen Y, Kirby, Robert M, Gleicher, Michael, Whitaker, Ross T
An important new trend in additive manufacturing is the use of optimization to automatically design industrial objects, such as beams, rudders or wings. Topology optimization, as it is often called, computes the best configuration of material over a
Externí odkaz:
http://arxiv.org/abs/2012.14901
Mapping data from and/or onto a known family of distributions has become an important topic in machine learning and data analysis. Deep generative models (e.g., generative adversarial networks ) have been used effectively to match known and unknown d
Externí odkaz:
http://arxiv.org/abs/2010.15283
Autor:
Tao, Wenzheng, Bhalodia, Riddhish, Anstadt, Erin, Kavan, Ladislav, Whitaker, Ross T., Goldstein, Jesse A.
This work describes an unsupervised method to objectively quantify the abnormality of general anatomical shapes. The severity of an anatomical deformity often serves as a determinant in the clinical management of patients. However, experiential bias
Externí odkaz:
http://arxiv.org/abs/2007.09307
Spatial transformations are enablers in a variety of medical image analysis applications that entail aligning images to a common coordinate systems. Population analysis of such transformations is expected to capture the underlying image and shape var
Externí odkaz:
http://arxiv.org/abs/1908.05825
We propose a novel approach to allocating resources for expensive simulations of high fidelity models when used in a multifidelity framework. Allocation decisions that distribute computational resources across several simulation models become extreme
Externí odkaz:
http://arxiv.org/abs/1812.11601
Statistical shape modeling is an important tool to characterize variation in anatomical morphology. Typical shapes of interest are measured using 3D imaging and a subsequent pipeline of registration, segmentation, and some extraction of shape feature
Externí odkaz:
http://arxiv.org/abs/1810.00111
Semi-supervised learning (SSL) has become important in current data analysis applications, where the amount of unlabeled data is growing exponentially and user input remains limited by logistics and expense. Constrained clustering, as a subclass of S
Externí odkaz:
http://arxiv.org/abs/1805.02285