Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Abulnaga A"'
Autor:
Abulnaga, Alex, Karg, Sean, Mukherjee, Sounak, Gupta, Adbhut, Baldwin, Kirk W., Pfeiffer, Loren N., de Leon, Nathalie P.
Heterogeneously integrated hybrid photonic crystal cavities enable strong light-matter interactions with solid-state, optically addressable quantum memories. A key challenge to realizing high quality factor (Q) hybrid photonic crystals is the reduced
Externí odkaz:
http://arxiv.org/abs/2409.16883
Autor:
Abulnaga, S. Mazdak, Dey, Neel, Young, Sean I., Pan, Eileen, Hobgood, Katherine I., Wang, Clinton J., Grant, P. Ellen, Turk, Esra Abaci, Golland, Polina
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2023)
Blood oxygen level dependent (BOLD) MRI time series with maternal hyperoxia can assess placental oxygenation and function. Measuring precise BOLD changes in the placenta requires accurate temporal placental segmentation and is confounded by fetal and
Externí odkaz:
http://arxiv.org/abs/2312.05148
Autor:
Chi, Zeen, Cong, Zhongxiao, Wang, Clinton J., Liu, Yingcheng, Turk, Esra Abaci, Grant, P. Ellen, Abulnaga, S. Mazdak, Golland, Polina, Dey, Neel
We present a method for fast biomedical image atlas construction using neural fields. Atlases are key to biomedical image analysis tasks, yet conventional and deep network estimation methods remain time-intensive. In this preliminary work, we frame s
Externí odkaz:
http://arxiv.org/abs/2311.02874
Autor:
Liu, Yingcheng, Karani, Neerav, Dey, Neel, Abulnaga, S. Mazdak, Xu, Junshen, Grant, P. Ellen, Turk, Esra Abaci, Golland, Polina
The placenta plays a crucial role in fetal development. Automated 3D placenta segmentation from fetal EPI MRI holds promise for advancing prenatal care. This paper proposes an effective semi-supervised learning method for improving placenta segmentat
Externí odkaz:
http://arxiv.org/abs/2310.03870
Autor:
Dey, Neel, Abulnaga, S. Mazdak, Billot, Benjamin, Turk, Esra Abaci, Grant, P. Ellen, Dalca, Adrian V., Golland, Polina
Star-convex shapes arise across bio-microscopy and radiology in the form of nuclei, nodules, metastases, and other units. Existing instance segmentation networks for such structures train on densely labeled instances for each dataset, which requires
Externí odkaz:
http://arxiv.org/abs/2307.07044
Autor:
Chakravarthi, Srivatsa, Yama, Nicholas S., Abulnaga, Alex, Huang, Ding, Pederson, Christian, Hestroffer, Karine, Hatami, Fariba, de Leon, Nathalie P., Fu, Kai-Mei C.
Optically addressable solid-state defects are emerging as one of the most promising qubit platforms for quantum networks. Maximizing photon-defect interaction by nanophotonic cavity coupling is key to network efficiency. We demonstrate fabrication of
Externí odkaz:
http://arxiv.org/abs/2212.04670
Autor:
Abulnaga, S. Mazdak, Young, Sean I., Hobgood, Katherine, Pan, Eileen, Wang, Clinton J., Grant, P. Ellen, Turk, Esra Abaci, Golland, Polina
Blood oxygen level dependent (BOLD) MRI with maternal hyperoxia can assess oxygen transport within the placenta and has emerged as a promising tool to study placental function. Measuring signal changes over time requires segmenting the placenta in ea
Externí odkaz:
http://arxiv.org/abs/2208.02895
Although shape correspondence is a central problem in geometry processing, most methods for this task apply only to two-dimensional surfaces. The neglected task of volumetric correspondence--a natural extension relevant to shapes extracted from simul
Externí odkaz:
http://arxiv.org/abs/2202.02568
Autor:
Abulnaga, S. Mazdak, Turk, Esra Abaci, Bessmeltsev, Mikhail, Grant, P. Ellen, Solomon, Justin, Golland, Polina
We present a volumetric mesh-based algorithm for parameterizing the placenta to a flattened template to enable effective visualization of local anatomy and function. MRI shows potential as a research tool as it provides signals directly related to pl
Externí odkaz:
http://arxiv.org/abs/2111.07900
Standard PolyCube-based hexahedral (hex) meshing methods aim to deform the input domain into an axis-aligned PolyCube volume with integer corners; if this deformation is bijective, then applying the inverse map to the voxelized PolyCube yields a vali
Externí odkaz:
http://arxiv.org/abs/2109.06279