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

Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation

超分辨率显微镜和深度学习方法:它们能为神经科学带来什么:从神经元到三维脊柱分割

Nazac, Paul; Xu, Shengyan; Breton, Victor; Boulet, David; Danglot, Lydia

A modular framework for multi-scale tissue imaging and neuronal segmentation

多尺度组织成像和神经元分割的模块化框架

Simone Cauzzo, Ester Bruno, David Boulet, Paul Nazac, Miriam Basile, Alejandro Luis Callara, Federico Tozzi, Arti Ahluwalia, Chiara Magliaro, Lydia Danglot, Nicola Vanello0

Molecular mapping of neuronal architecture using STORM microscopy and new fluorescent probes for SMLM imaging

利用STORM显微镜和新型荧光探针进行神经元结构分子图谱绘制,用于SMLM成像

Breton, Victor; Nazac, Paul; Boulet, David; Danglot, Lydia

Diffusion-Weighted MRI in the Evaluation of Early-Stage Breast Cancer Treated with a Short Preoperative Radiotherapy: Preliminary Results

弥散加权磁共振成像在接受短期术前放疗的早期乳腺癌评估中的应用:初步结果

Hottat, Nathalie; Jani, Jacques; Badr, Dominique; Ridder, Mark De; Nazac, André; Houte, Katherina Vanden; Lecomte, Sophie; Cannie, Mieke

Depolarization imaging for fast and non-invasive monitoring of cervical microstructure remodeling in vivo during pregnancy

利用去极化成像技术快速、无创地监测妊娠期宫颈微结构重塑。

Rehbinder, Jean; Vizet, Jérémy; Park, Junha; Ossikovski, Razvigor; Vanel, Jean-Charles; Nazac, André; Pierangelo, Angelo