日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

OMG! A proteomic determinant of neurodegenerative resiliency

我的天!神经退行性疾病恢复力的蛋白质组学决定因素

Duggan, Michael R; Oh, Hamilton Se-Hwee; Frank, Philipp; Gomez, Gabriela T; Zweibaum, David; Cui, Yuhan; Chen, Jingsha; Surapaneni, Aditya; Blew, Cassandra O; Dark, Heather E; Joynes, Cassandra M; Kandala, Sridhar; Bilgel, Murat; Farinas, Amelia; Erus, Guray; Tian, Qu; Candia, Julián; Pucha, Krishna A; Landman, Bennett A; Dumitrescu, Logan; Hohman, Timothy J; Lewis, Alexandria; Moghekar, Abhay; Siavoshi, Fatemeh; Ali, Muhammad; Liu, Menghan; Xu, Ying; Western, Daniel; Kaneko, Naoto; Kato, Shintaro; Furuichi, Makio; Shibayama, Masaki; Katsuno, Masahisa; Nishita, Yukiko; Otsuka, Rei; Gottesman, Rebecca F; Dammer, Eric B; Seyfried, Nicholas T; Levey, Allan I; B Johnson, Erik C; Mormino, Elizabeth; Wagner, Anthony D; Poston, Kathleen L; Kapogiannis, Dimitrios; Grams, Morgan E; Bhargava, Pavan; Waga, Iwao; Davatzikos, Christos; Resnick, Susan M; Ferrucci, Luigi; Bennett, David A; Cruchaga, Carlos; Wyss-Coray, Tony; Kivimäki, Mika; Coresh, Josef; Walker, Keenan A

An MRI-based macro- and microstructural neuroimaging-wide association study of subsequent cognitive impairment

一项基于磁共振成像的宏观和微观结构神经影像学全关联研究,探讨了后续认知障碍的发生发展。

Duran, Tugce; Bilgel, Murat; An, Yang; Kandala, Sridhar; Davatzikos, Christos; Landman, Bennett A; Erus, Guray; Moghekar, Abhay; Ferrucci, Luigi; Walker, Keenan A; Resnick, Susan M

Did you know? State-of-the-art preprocessing diffusion MRI data can improve tractography

您知道吗?最先进的扩散磁共振成像数据预处理可以改善纤维束追踪。

Schilling, Kurt G; Cieslak, Matthew; Descoteaux, Maxime; Landman, Bennett A; Pestilli, Franco; Rokem, Ariel; Sotiropoulos, Stamatios N; Tournier, Jacques-Donald; Veraart, Jelle

Improving Clarity and Impact in JMI

提高JMI的清晰度和影响力

Landman, Bennett A

How much of a face is a face: exploring reidentification potential with generative AI

人脸究竟包含多少元素:利用生成式人工智能探索人脸重识别的潜力

Cho, Chloe; Liu, Yihao; Jiang, Bohan; McNeil, Andrew J; Dawant, Benoit M; Landman, Bennett A; Tkaczyk, Eric R

MedPTQ: a practical pipeline for real post-training quantization in 3D medical image segmentation

MedPTQ:用于三维医学图像分割中实际训练后量化的实用流程

Qu, Chongyu; Zhao, Ritchie; Yu, Ye; Liu, Bin; Yao, Tianyuan; Zhu, Junchao; Landman, Bennett A; Tang, Yucheng; Huo, Yuankai

Integrating 2D Dermatological Photography with 3D Anatomical Surfaces

将二维皮肤摄影与三维解剖表面相结合

Jiang, Bohan; Liu, Yihao; McNeil, Andrew J; Cho, Chloe; Saknite, Inga; Pavletic, Steven Z; Cowen, Edward W; Weiss, Rachel; Landman, Bennett A; Dawant, Benoit M; Tkaczyk, Eric R

Assessing Open-world Foundation Models for Zero-shot Skin Segmentation in Clinical Dermatological Photographs

评估用于临床皮肤照片零样本皮肤分割的开放世界基础模型

Liu, Yihao; McNeil, Andrew J; Jiang, Bohan; Kim, Michael E; Saknite, Inga; Zhao, Aaron T; Mbala-Kingebeni, Placide; Mbaya, Olivier Tshiani; Silaphet, Tyra; Weiss, Rachel; Dodd, Lori E; Cowen, Edward W; Pavletic, Steven Z; Nussenblatt, Veronique; Dawant, Benoit M; Landman, Bennett A; Tkaczyk, Eric R

DermIDS: Dermatology imaging data structure for scalable and interoperable AI systems

DermIDS:用于可扩展和可互操作人工智能系统的皮肤病影像数据结构

Cho, Chloe; McNeil, Andrew J; Jiang, Bohan; Saunders, Adam M; Rudravaram, Gaurav; Liu, Yihao; Moyer, Daniel; Dawant, Benoit M; Landman, Bennett A; Tkaczyk, Eric R

Integrating 2D Dermatological Photography with 3D Anatomical Surfaces

将二维皮肤摄影与三维解剖表面相结合

Panse, Ashish S; Swetadri Vasan, S N; Jain, A; Bednarek, D R; Rudin, S; Jiang, Bohan; Liu, Yihao; McNeil, Andrew J; Cho, Chloe; Saknite, Inga; Pavletic, Steven Z; Cowen, Edward W; Weiss, Rachel; Landman, Bennett A; Dawant, Benoit M; Tkaczyk, Eric R