Zobrazeno 21 - 30
of 21 579
pro vyhledávání: '"Landman, A."'
Autor:
Xu, Hanliang, Newlin, Nancy R., Kim, Michael E., Gao, Chenyu, Kanakaraj, Praitayini, Krishnan, Aravind R., Remedios, Lucas W., Khairi, Nazirah Mohd, Pechman, Kimberly, Archer, Derek, Hohman, Timothy J., Jefferson, Angela L., Team, The BIOCARD Study, Isgum, Ivana, Huo, Yuankai, Moyer, Daniel, Schilling, Kurt G., Landman, Bennett A.
Connectivity matrices derived from diffusion MRI (dMRI) provide an interpretable and generalizable way of understanding the human brain connectome. However, dMRI suffers from inter-site and between-scanner variation, which impedes analysis across dat
Externí odkaz:
http://arxiv.org/abs/2401.06798
Autor:
Lee, Ho Hin, Saunders, Adam M., Kim, Michael E., Remedios, Samuel W., Remedios, Lucas W., Tang, Yucheng, Yang, Qi, Yu, Xin, Bao, Shunxing, Cho, Chloe, Mawn, Louise A., Rex, Tonia S., Schey, Kevin L., Dewey, Blake E., Spraggins, Jeffrey M., Prince, Jerry L., Huo, Yuankai, Landman, Bennett A.
Purpose: Eye morphology varies significantly across the population, especially for the orbit and optic nerve. These variations limit the feasibility and robustness of generalizing population-wise features of eye organs to an unbiased spatial referenc
Externí odkaz:
http://arxiv.org/abs/2401.03060
Autor:
Komarova, Tatiana, Zinn, Thomas, Narayanan, Theyencheri, Petukhov, Andrei V., Landman, Jasper
Concentric microtubes of $\beta$-cyclodextrin and SDS grow from the outside in and melt from the inside out, we observe using in situ small angle X-ray scattering. We find that the conformation of the crystalline bilayer affects the saturation concen
Externí odkaz:
http://arxiv.org/abs/2312.05637
Autor:
Cardoso, M. Jorge, Moosbauer, Julia, Cook, Tessa S., Erdal, B. Selnur, Genereaux, Brad, Gupta, Vikash, Landman, Bennett A., Lee, Tiarna, Nachev, Parashkev, Somasundaram, Elanchezhian, Summers, Ronald M., Younis, Khaled, Ourselin, Sebastien, Pfister, Franz MJ
The integration of AI into radiology introduces opportunities for improved clinical care provision and efficiency but it demands a meticulous approach to mitigate potential risks as with any other new technology. Beginning with rigorous pre-deploymen
Externí odkaz:
http://arxiv.org/abs/2311.14570
Autor:
Landman, Rico, Stolker, Tomas, Snellen, Ignas, Costes, Jean, de Regt, Sam, Zhang, Yapeng, Gandhi, Siddharth, Mollière, Paul, Kesseli, Aurora, Vigan, Arthur, Sánchez-López, Alejandro
Context: High-resolution spectrographs fed by adaptive optics (AO) provide a unique opportunity to characterize directly imaged exoplanets. Observations with such instruments allow us to probe the atmospheric composition, spin rotation, and radial ve
Externí odkaz:
http://arxiv.org/abs/2311.13527
Autor:
Gao, Chenyu, Kim, Michael E., Lee, Ho Hin, Yang, Qi, Khairi, Nazirah Mohd, Kanakaraj, Praitayini, Newlin, Nancy R., Archer, Derek B., Jefferson, Angela L., Taylor, Warren D., Boyd, Brian D., Beason-Held, Lori L., Resnick, Susan M., Team, The BIOCARD Study, Huo, Yuankai, Van Schaik, Katherine D., Schilling, Kurt G., Moyer, Daniel, Išgum, Ivana, Landman, Bennett A.
Imaging findings inconsistent with those expected at specific chronological age ranges may serve as early indicators of neurological disorders and increased mortality risk. Estimation of chronological age, and deviations from expected results, from s
Externí odkaz:
http://arxiv.org/abs/2311.03500
This paper presents two new augmented flexible (AF)-Krylov subspace methods, AF-GMRES and AF-LSQR, to compute solutions of large-scale linear discrete ill-posed problems that can be modeled as the sum of two independent random variables, exhibiting s
Externí odkaz:
http://arxiv.org/abs/2310.05285
The application of 3D ViTs to medical image segmentation has seen remarkable strides, somewhat overshadowing the budding advancements in Convolutional Neural Network (CNN)-based models. Large kernel depthwise convolution has emerged as a promising te
Externí odkaz:
http://arxiv.org/abs/2310.00199
Quantum machine learning has become a promising area for real world applications of quantum computers, but near-term methods and their scalability are still important research topics. In this context, we analyze the trainability and controllability o
Externí odkaz:
http://arxiv.org/abs/2309.15547
Autor:
Krishnan, Aravind R., Xu, Kaiwen, Li, Thomas, Gao, Chenyu, Remedios, Lucas W., Kanakaraj, Praitayini, Lee, Ho Hin, Bao, Shunxing, Sandler, Kim L., Maldonado, Fabien, Isgum, Ivana, Landman, Bennett A.
The reconstruction kernel in computed tomography (CT) generation determines the texture of the image. Consistency in reconstruction kernels is important as the underlying CT texture can impact measurements during quantitative image analysis. Harmoniz
Externí odkaz:
http://arxiv.org/abs/2309.12953