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Gianluca Brugnara

Ruprecht Karls University Heidelberg
H指数:21
被引数:2,576

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Non-invasive identification of mesenchymal glioblastoma using quantitative radiomic features from advanced diffusion MRI: a preclinical-to-clinical transfer learning strategy

基于先进扩散MRI定量放射组学特征的非侵入性间充质胶质母细胞瘤识别:从预临床到临床的迁移学习策略

2025-11-140
OAAI
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

通过联合肿瘤分割 (FeTS) 挑战实现医疗AI算法的公平分散基准测试

2025-07-080
OAAI
Addressing the Generalizability of AI in Radiology Using a Novel Data Augmentation Framework with Synthetic Patient Image Data: Proof-of-Concept and External Validation for Classification Tasks in Multiple Sclerosis

使用具有合成患者图像数据的新型数据增强框架解决放射学中AI的普遍性: 多发性硬化症分类任务的概念验证和外部验证

2024-11-010
PRE
Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke

基于深度学习的疑似急性缺血性卒中患者CT血管造影血管闭塞检测

2023-08-153
OAAI
Assessing the added value of apparent diffusion coefficient, cerebral blood volume, and radiomic magnetic resonance features for differentiation of pseudoprogression versus true tumor progression in patients with glioblastoma
2023-02-216
OAAI
T cell-independent eradication of experimental glioma by intravenous TLR7/8-agonist-loaded nanoparticles
2023-02-1122
OAAI
Federated learning enables big data for rare cancer boundary detection (vol 13, 7346, 2022)
2023-01-263
OAAI
Federated learning enables big data for rare cancer boundary detection

联邦学习支持罕见癌症边界检测的大数据

2022-12-05110
OAAI
Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader study

基于人工智能 (AI) 的决策支持提高了神经肿瘤学中肿瘤反应评估的可重复性: 一项国际多读者研究

2022-08-0222
OA
Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study
2021-12-0160
OAAI
Multimodal Predictive Modeling of Endovascular Treatment Outcome for Acute Ischemic Stroke Using Machine-Learning

使用机器学习对急性缺血性卒中的血管内治疗结果进行多模式预测建模

STROKE
IF8.9
2020-12-01109
OAAI
Noninvasive Characterization of Tumor Angiogenesis and Oxygenation in Bevacizumab-treated Recurrent Glioblastoma by Using Dynamic Susceptibility MRI: Secondary Analysis of the European Organization for Research and Treatment of Cancer 26101 Trial
RADIOLOGY
IF15.2
2020-10-0125
OAAI