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

Brain-wide mapping of oligodendrocyte organization, oligodendrogenesis, and myelin injury

全脑少突胶质细胞组织、少突胶质细胞生成和髓鞘损伤的映射

Xu, Yu Kang T; Bush, Abigail; Musheyev, Ephraim; Umans, Jacob; Zhang, Lingzi; Kim, Anya A; Zhang, Sen; Eugenin von Bernhardi, Jaime; Yan, Yuqing; Sulam, Jeremias; Bergles, Dwight E

Pitfalls and Best Practices in Evaluation of AI Algorithmic Biases in Radiology

放射学中人工智能算法偏差评估的陷阱和最佳实践

Yi, Paul H; Bachina, Preetham; Bharti, Beepul; Garin, Sean P; Kanhere, Adway; Kulkarni, Pranav; Li, David; Parekh, Vishwa S; Santomartino, Samantha M; Moy, Linda; Sulam, Jeremias

Bi-level graph learning unveils prognosis-relevant tumor microenvironment patterns in breast multiplexed digital pathology

双层图学习揭示乳腺多重数字病理中与预后相关的肿瘤微环境模式

Wang, Zhenzhen; Santa-Maria, Cesar A; Popel, Aleksander S; Sulam, Jeremias

ProxiMO: Proximal Multi-operator Networks for Quantitative Susceptibility Mapping

ProxiMO:用于定量磁化率测绘的近端多算子网络

Orenstein, Shmuel; Fang, Zhenghan; Shin, Hyeong-Geol; van Zijl, Peter; Li, Xu; Sulam, Jeremias

Fourier Diffusion Models: A Method to Control MTF and NPS in Score-Based Stochastic Image Generation

傅里叶扩散模型:一种控制基于评分的随机图像生成中MTF和NPS的方法

Tivnan, Matthew; Teneggi, Jacopo; Lee, Tzu-Cheng; Zhang, Ruoqiao; Boedeker, Kirsten; Cai, Liang; Gang, Grace J; Sulam, Jeremias; Stayman, J Webster

Examination-Level Supervision for Deep Learning-based Intracranial Hemorrhage Detection on Head CT Scans

基于深度学习的头部CT扫描颅内出血检测的考试级监督

Teneggi, Jacopo; Yi, Paul H; Sulam, Jeremias

Simultaneous multi-transient linear-combination modeling of MRS data improves uncertainty estimation

对MRS数据进行同步多瞬态线性组合建模可提高不确定性估计的准确性。

Zöllner, Helge Jörn; Davies-Jenkins, Christopher; Simicic, Dunja; Tal, Assaf; Sulam, Jeremias; Oeltzschner, Georg

Gradient-Based Saliency Maps Are Not Trustworthy Visual Explanations of Automated AI Musculoskeletal Diagnoses

基于梯度的显著性图并非可靠的AI肌肉骨骼自动化诊断视觉解释

Venkatesh, Kesavan; Mutasa, Simukayi; Moore, Fletcher; Sulam, Jeremias; Yi, Paul H

Bi-level Graph Learning Unveils Prognosis-Relevant Tumor Microenvironment Patterns in Breast Multiplexed Digital Pathology

双层图学习揭示乳腺多重数字病理中与预后相关的肿瘤微环境模式

Wang, Zhenzhen; Santa-Maria, Cesar A; Popel, Aleksander S; Sulam, Jeremias

Cross-modality supervised image restoration enables nanoscale tracking of synaptic plasticity in living mice

跨模态监督图像复原技术能够对活体小鼠的突触可塑性进行纳米级追踪。

Xu, Yu Kang T; Graves, Austin R; Coste, Gabrielle I; Huganir, Richard L; Bergles, Dwight E; Charles, Adam S; Sulam, Jeremias