Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Saeed Boorboor"'
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 29:3182-3194
The growing complexity of spatial and structural information in 3D data makes data inspection and visualization a challenging task. We describe a method to create a planar embedding of 3D treelike structures using their skeleton representations. Our
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 29:1625-1637
Recent advances in high-resolution microscopy have allowed scientists to better understand the underlying brain connectivity. However, due to the limitation that biological specimens can only be imaged at a single timepoint, studying changes to neura
Autor:
Lorna W. Role, Parmida Ghahremani, David A. Talmage, Chetan Gudisagar, Saeed Boorboor, Arie E. Kaufman, Mala Ananth, Pooya Mirhosseini
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 28:4951-4965
We introduce NeuroConstruct, a novel end-to-end application for the segmentation, registration, and visualization of brain volumes imaged using wide-field microscopy. NeuroConstruct offers a Segmentation Toolbox with various annotation helper functio
Autor:
Johanna Beyer, Jakob Troidl, Saeed Boorboor, Markus Hadwiger, Arie Kaufman, Hanspeter Pfister
Publikováno v:
Computer Graphics Forum. 41:573-607
Autor:
Ping Hu, Saeed Boorboor, Shreeraj Jadhav, Joseph Marino, Seyedkoosha Mirhosseini, Arie E. Kaufman
Publikováno v:
2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct).
Autor:
Arie E. Kaufman, David A. Talmage, Mala Ananth, Shreeraj Jadhav, Lorna W. Role, Saeed Boorboor
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 25:1018-1028
Wide-field microscopes are commonly used in neurobiology for experimental studies of brain samples. Available visualization tools are limited to electron, two-photon, and confocal microscopy datasets, and current volume rendering techniques do not yi
We present crowdsourcing as an additional modality to aid radiologists in the diagnosis of lung cancer from clinical chest computed tomography (CT) scans. More specifically, a complete workflow is introduced which can help maximize the sensitivity of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a8691558fb7f159ef581994bf031a64