Zobrazeno 1 - 10
of 20 121
pro vyhledávání: '"Schilling P"'
Autor:
Magnaterra, M., Sandberg, A., Schilling, H., Warzanowski, P., Pätzold, L., Bergamasco, E., Sahle, Ch. J., Detlefs, B., Ruotsalainen, K., Sala, M. Moretti, Monaco, G., Becker, P., Faure, Q., Thakur, G. S., Songvilay, M., Felser, C., van Loosdrecht, P. H. M., Brink, J. van den, Hermanns, M., Grüninger, M.
The insulating mixed-valent Ir$^{+3.66}$ compound Ba$_4$NbIr$_3$O$_{12}$ hosts two holes per Ir$_3$O$_{12}$ trimer unit. We address the electronic structure via resonant inelastic x-ray scattering (RIXS) at the Ir $L_3$ edge and exact diagonalization
Externí odkaz:
http://arxiv.org/abs/2411.00125
Autor:
Gao, Chenyu, Kim, Michael E., Ramadass, Karthik, Kanakaraj, Praitayini, Krishnan, Aravind R., Saunders, Adam M., Newlin, Nancy R., Lee, Ho Hin, Yang, Qi, Taylor, Warren D., Boyd, Brian D., Beason-Held, Lori L., Resnick, Susan M., Barnes, Lisa L., Bennett, David A., Van Schaik, Katherine D., Archer, Derek B., Hohman, Timothy J., Jefferson, Angela L., Išgum, Ivana, Moyer, Daniel, Huo, Yuankai, Schilling, Kurt G., Zuo, Lianrui, Bao, Shunxing, Khairi, Nazirah Mohd, Li, Zhiyuan, Davatzikos, Christos, Landman, Bennett A.
Estimated brain age from magnetic resonance image (MRI) and its deviation from chronological age can provide early insights into potential neurodegenerative diseases, supporting early detection and implementation of prevention strategies. Diffusion M
Externí odkaz:
http://arxiv.org/abs/2410.22454
Autor:
Schilling, Kurt G, Howard, Amy FD, Grussu, Francesco, Ianus, Andrada, Hansen, Brian, Barrett, Rachel L C, Aggarwal, Manisha, Michielse, Stijn, Nasrallah, Fatima, Syeda, Warda, Wang, Nian, Veraart, Jelle, Roebroeck, Alard, Bagdasarian, Andrew F, Eichner, Cornelius, Sepehrband, Farshid, Zimmermann, Jan, Soustelle, Lucas, Bowman, Christien, Tendler, Benjamin C, Hertanu, Andreea, Jeurissen, Ben, Verhoye, Marleen, Frydman, Lucio, van de Looij, Yohan, Hike, David, Dunn, Jeff F, Miller, Karla, Landman, Bennett A, Shemesh, Noam, Anderson, Adam, McKinnon, Emilie, Farquharson, Shawna, Acqua, Flavio Dell', Pierpaoli, Carlo, Drobnjak, Ivana, Leemans, Alexander, Harkins, Kevin D, Descoteaux, Maxime, Xu, Duan, Huang, Hao, Santin, Mathieu D, Grant, Samuel C., Obenaus, Andre, Kim, Gene S, Wu, Dan, Bihan, Denis Le, Blackband, Stephen J, Ciobanu, Luisa, Fieremans, Els, Bai, Ruiliang, Leergaard, Trygve B, Zhang, Jiangyang, Dyrby, Tim B, Johnson, G Allan, Cohen-Adad, Julien, Budde, Matthew D, Jelescu, Ileana O
Preclinical diffusion MRI (dMRI) has proven value in methods development and validation, characterizing the biological basis of diffusion phenomena, and comparative anatomy. While dMRI enables in vivo non-invasive characterization of tissue, ex vivo
Externí odkaz:
http://arxiv.org/abs/2411.05021
Refined canonical stable Grothendieck polynomials were introduced by Hwang, Jang, Kim, Song, and Song. There exist two combinatorial models for these polynomials: one using hook-valued tableaux and the other using pairs of a semistandard Young tablea
Externí odkaz:
http://arxiv.org/abs/2410.18343
Deep reinforcement learning has emerged as a powerful tool for obtaining high-performance policies. However, the safety of these policies has been a long-standing issue. One promising paradigm to guarantee safety is a shield, which shields a policy f
Externí odkaz:
http://arxiv.org/abs/2410.10460
Autor:
Sidorova, M., Semenov, A. D., Zaccone, A., Charaev, I., Gonzalez, M., Schilling, A., Gyger, S., Steinhauer, S.
Publikováno v:
Phys. Rev. B 110, 134513, 2024
Heat transport in bulk materials is well described using the Debye theory of 3D vibrational modes (phonons) and the acoustic match model. However, in cryogenic nanodevices, phonon wavelengths exceed device dimensions, leading to confinement effects t
Externí odkaz:
http://arxiv.org/abs/2410.08878
Autor:
McMaster, Elyssa M., Newlin, Nancy R., Cho, Chloe, Rudravaram, Gaurav, Saunders, Adam M., Krishnan, Aravind R., Remedios, Lucas W., Kim, Michael E., Xu, Hanliang, Schilling, Kurt G., Rheault, François, Cutting, Laurie E., Landman, Bennett A.
Purpose: Diffusion weighted MRI (dMRI) and its models of neural structure provide insight into human brain organization and variations in white matter. A recent study by McMaster, et al. showed that complex graph measures of the connectome, the graph
Externí odkaz:
http://arxiv.org/abs/2409.18255
Autor:
Kim, Michael E., Gao, Chenyu, Ramadass, Karthik, Kanakaraj, Praitayini, Newlin, Nancy R., Rudravaram, Gaurav, Schilling, Kurt G., Dewey, Blake E., Bennett, David A., OBryant, Sid, Barber, Robert C., Archer, Derek, Hohman, Timothy J., Bao, Shunxing, Li, Zhiyuan, Landman, Bennett A., Khairi, Nazirah Mohd, Initiative, The Alzheimers Disease Neuroimaging, Team, The HABSHD Study
Proper quality control (QC) is time consuming when working with large-scale medical imaging datasets, yet necessary, as poor-quality data can lead to erroneous conclusions or poorly trained machine learning models. Most efforts to reduce data QC time
Externí odkaz:
http://arxiv.org/abs/2409.17286
Autor:
Li, Zhiyuan, Yao, Tianyuan, Kanakaraj, Praitayini, Gao, Chenyu, Bao, Shunxing, Zuo, Lianrui, Kim, Michael E., Newlin, Nancy R., Rudravaram, Gaurav, Khairi, Nazirah M., Huo, Yuankai, Schilling, Kurt G., Kukull, Walter A., Toga, Arthur W., Archer, Derek B., Hohman, Timothy J., Landman, Bennett A.
An incomplete field-of-view (FOV) in diffusion magnetic resonance imaging (dMRI) can severely hinder the volumetric and bundle analyses of whole-brain white matter connectivity. Although existing works have investigated imputing the missing regions u
Externí odkaz:
http://arxiv.org/abs/2409.13846
Autor:
Chanda, Tirtha, Haggenmueller, Sarah, Bucher, Tabea-Clara, Holland-Letz, Tim, Kittler, Harald, Tschandl, Philipp, Heppt, Markus V., Berking, Carola, Utikal, Jochen S., Schilling, Bastian, Buerger, Claudia, Navarrete-Dechent, Cristian, Goebeler, Matthias, Kather, Jakob Nikolas, Schneider, Carolin V., Durani, Benjamin, Durani, Hendrike, Jansen, Martin, Wacker, Juliane, Wacker, Joerg, Consortium, Reader Study, Brinker, Titus J.
Artificial intelligence (AI) systems have substantially improved dermatologists' diagnostic accuracy for melanoma, with explainable AI (XAI) systems further enhancing clinicians' confidence and trust in AI-driven decisions. Despite these advancements
Externí odkaz:
http://arxiv.org/abs/2409.13476