Zobrazeno 1 - 10
of 2 213
pro vyhledávání: '"Landman, Bennett A."'
Autor:
Yu, Xin, Yang, Qi, Liu, Han, Lee, Ho Hin, Tang, Yucheng, Remedios, Lucas W., Kim, Michael E., Zhang, Rendong, Bao, Shunxing, Huo, Yuankai, Moore, Ann Zenobia, Ferrucci, Luigi, Landman, Bennett A.
2D single-slice abdominal computed tomography (CT) enables the assessment of body habitus and organ health with low radiation exposure. However, single-slice data necessitates the use of 2D networks for segmentation, but these networks often struggle
Externí odkaz:
http://arxiv.org/abs/2406.12254
Autor:
Li, Thomas Z., Xu, Kaiwen, Krishnan, Aravind, Gao, Riqiang, Kammer, Michael N., Antic, Sanja, Xiao, David, Knight, Michael, Martinez, Yency, Paez, Rafael, Lentz, Robert J., Deppen, Stephen, Grogan, Eric L., Lasko, Thomas A., Sandler, Kim L., Maldonado, Fabien, Landman, Bennett A.
Statistical models for predicting lung cancer have the potential to facilitate earlier diagnosis of malignancy and avoid invasive workup of benign disease. Many models have been published, but comparative studies of their utility in different clinica
Externí odkaz:
http://arxiv.org/abs/2405.10993
Autor:
Remedios, Lucas W., Bao, Shunxing, Remedios, Samuel W., Lee, Ho Hin, Cai, Leon Y., Li, Thomas, Deng, Ruining, Newlin, Nancy R., Saunders, Adam M., Cui, Can, Li, Jia, Liu, Qi, Lau, Ken S., Roland, Joseph T., Washington, Mary K, Coburn, Lori A., Wilson, Keith T., Huo, Yuankai, Landman, Bennett A.
Understanding the way cells communicate, co-locate, and interrelate is essential to furthering our understanding of how the body functions. H&E is widely available, however, cell subtyping often requires expert knowledge and the use of specialized st
Externí odkaz:
http://arxiv.org/abs/2407.06116
Autor:
Gao, Chenyu, Bao, Shunxing, Kim, Michael, Newlin, Nancy, Kanakaraj, Praitayini, Yao, Tianyuan, Rudravaram, Gaurav, Huo, Yuankai, Moyer, Daniel, Schilling, Kurt, Kukull, Walter, Toga, Arthur, Archer, Derek, Hohman, Timothy, Landman, Bennett, Li, Zhiyuan
Purpose: In diffusion MRI (dMRI), the volumetric and bundle analyses of whole-brain tissue microstructure and connectivity can be severely impeded by an incomplete field-of-view (FOV). This work aims to develop a method for imputing the missing slice
Externí odkaz:
http://arxiv.org/abs/2405.03652
Autor:
Yu, Tian, Li, Yunhe, Kim, Michael E., Gao, Chenyu, Yang, Qi, Cai, Leon Y., Resnick, Susane M., Beason-Held, Lori L., Moyer, Daniel C., Schilling, Kurt G., Landman, Bennett A.
Diffusion MRI (dMRI) streamline tractography, the gold standard for in vivo estimation of brain white matter (WM) pathways, has long been considered indicative of macroscopic relationships with WM microstructure. However, recent advances in tractogra
Externí odkaz:
http://arxiv.org/abs/2403.18992
Autor:
Lasko, Thomas A., Still, John M., Li, Thomas Z., Mota, Marco Barbero, Stead, William W., Strobl, Eric V., Landman, Bennett A., Maldonado, Fabien
Insufficiently precise diagnosis of clinical disease is likely responsible for many treatment failures, even for common conditions and treatments. With a large enough dataset, it may be possible to use unsupervised machine learning to define clinical
Externí odkaz:
http://arxiv.org/abs/2402.05802
Autor:
Remedios, Lucas W., Bao, Shunxing, Remedios, Samuel W., Lee, Ho Hin, Cai, Leon Y., Li, Thomas, Deng, Ruining, Cui, Can, Li, Jia, Liu, Qi, Lau, Ken S., Roland, Joseph T., Washington, Mary K., Coburn, Lori A., Wilson, Keith T., Huo, Yuankai, Landman, Bennett A.
Understanding the way cells communicate, co-locate, and interrelate is essential to understanding human physiology. Hematoxylin and eosin (H&E) staining is ubiquitously available both for clinical studies and research. The Colon Nucleus Identificatio
Externí odkaz:
http://arxiv.org/abs/2401.05602
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:
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