Zobrazeno 1 - 10
of 227
pro vyhledávání: '"Ross T. Whitaker"'
Publikováno v:
IEEE Trans Med Imaging
Many biological tissues contain an underlying fibrous microstructure that is optimized to suit a physiological function. The fiber architecture dictates physical characteristics such as stiffness, diffusivity, and electrical conduction. Abnormal devi
Autor:
Wenzheng Tao, Jacob Dinis, Kitae E Park, Cameron Christensen, Michael Alperovich, Madeleine K. Bruce, Jesse A. Goldstein, Ross T. Whitaker, Sacha C. Hauc, Alexandra Junn
Publikováno v:
Cleft Palate Craniofac J
Objective Several severity metrics have been developed for metopic craniosynostosis, including a recent machine learning-derived algorithm. This study assessed the diagnostic concordance between machine learning and previously published severity indi
Autor:
Xiaohe Yue, Anne Antonietti, Mitra Alirezaei, Tolga Tasdizen, Dapeng Li, Leah Nguyen, Heran Mane, Abby Sun, Ming Hu, Ross T. Whitaker, Quynh C. Nguyen
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 19; Pages: 12095
Built environment neighborhood characteristics are difficult to measure and assess on a large scale. Consequently, there is a lack of sufficient data that can help us investigate neighborhood characteristics as structural determinants of health on a
Publikováno v:
AAAI
Learning compact representations for shapes (binary images) is important for many applications. Although neural network models are very powerful, they usually involve many parameters, require substantial tuning efforts and easily overfit small datase
Autor:
Mehran Javanmardi, Pallavi Dwivedi, Kim Brunisholz, Sahil Khanna, Tolga Tasdizen, Quynh C. Nguyen, Ross T. Whitaker, Dina Huang
Publikováno v:
IEEE Access, Vol 8, Pp 6407-6416 (2020)
IEEE Access
IEEE Access
Deep learning and, specifically, convoltional neural networks (CNN) represent a class of powerful models that facilitate the understanding of many problems in computer vision. When combined with a reasonable amount of data, CNNs can outperform tradit
Autor:
Penny R. Atkins, Christopher L. Peters, Shireen Y. Elhabian, Andrew E. Anderson, Kunihiko Tokunaga, Praful Agrawal, Keisuke Uemura, Ross T. Whitaker, Joseph D Mozingo
Publikováno v:
Journal of orthopaedic research : official publication of the Orthopaedic Research Society. 40(9)
Developmental dysplasia of the hip (DDH) is commonly described as reduced femoral head coverage due to anterolateral acetabular deficiency. Although reduced coverage is the defining trait of DDH, more subtle and localized anatomic features of the joi
Autor:
Heran Mane, Kim Brunisholz, Amir Hossein Nazem Deligani, Thu T. Nguyen, Mindy C. DeRouen, Courtney R. Lyles, Pallavi Dwivedi, Kirsten Bibbins-Domingo, Jessica Fields, Quynh C. Nguyen, Tolga Tasdizen, Ross T. Whitaker, Anna D. Rubinsky
Publikováno v:
International Journal of Environmental Research and Public Health
Volume 18
Issue 19
International Journal of Environmental Research and Public Health, Vol 18, Iss 10428, p 10428 (2021)
International journal of environmental research and public health, vol 18, iss 19
Volume 18
Issue 19
International Journal of Environmental Research and Public Health, Vol 18, Iss 10428, p 10428 (2021)
International journal of environmental research and public health, vol 18, iss 19
Characteristics of the neighborhood built environment influence health and health behavior. Google Street View (GSV) images may facilitate measures of the neighborhood environment that are meaningful, practical, and adaptable to any geographic bounda
Autor:
Sharmin Sultana, Praful Agrawal, Justin S. Cetas, Benjamin Gilles, Jason E. Blatt, Tanweer Rashid, Michel A. Audette, Ross T. Whitaker, Shireen Y. Elhabian
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 14:1955-1967
We propose a segmentation methodology for brainstem cranial nerves using statistical shape model (SSM)-based deformable 3D contours from T2 MR images. We create shape models for ten pairs of cranial nerves. High-resolution T2 MR images are segmented
Publikováno v:
Shape Med Imaging (2020)
Shape in Medical Imaging ISBN: 9783030610555
ShapeMI@MICCAI
Shape in Medical Imaging ISBN: 9783030610555
ShapeMI@MICCAI
Quantifying shape variations in articulated joints is of utmost interest to understand the underlying joint biomechanics and associated clinical symptoms. For joint comparisons and analysis, the relative positions of the bones can confound subsequent
Publikováno v:
Med Image Anal
In current biological and medical research, statistical shape modeling (SSM) provides an essential framework for the characterization of anatomy/morphology. Such analysis is often driven by the identification of a relatively small number of geometric