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

Explainable AI in medicine: challenges of integrating XAI into the future clinical routine

医学领域的可解释人工智能:将XAI整合到未来临床常规中的挑战

Räz, Tim; Pahud De Mortanges, Aurélie; Reyes, Mauricio

Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging

为医学影像中的多模态和纵向数据构建可解释的人工智能

Pahud de Mortanges, Aurélie; Luo, Haozhe; Shu, Shelley Zixin; Kamath, Amith; Suter, Yannick; Shelan, Mohamed; Pöllinger, Alexander; Reyes, Mauricio

DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers

DreamOn:一种数据增强策略,旨在缩小专家放射科医生与深度学习分类器之间的鲁棒性差距

Lerch, Luc; Huber, Lukas S; Kamath, Amith; Pöllinger, Alexander; Pahud de Mortanges, Aurélie; Obmann, Verena C; Dammann, Florian; Senn, Walter; Reyes, Mauricio

A Multiclass Radiomics Method-Based WHO Severity Scale for Improving COVID-19 Patient Assessment and Disease Characterization From CT Scans

基于多分类放射组学方法的WHO严重程度分级,用于改进COVID-19患者评估和CT扫描疾病特征分析

Henao, John Anderson Garcia; Depotter, Arno; Bower, Danielle V; Bajercius, Herkus; Todorova, Plamena Teodosieva; Saint-James, Hugo; de Mortanges, Aurélie Pahud; Barroso, Maria Cecilia; He, Jianchun; Yang, Junlin; You, Chenyu; Staib, Lawrence H; Gange, Christopher; Ledda, Roberta Eufrasia; Caminiti, Caterina; Silva, Mario; Cortopassi, Isabel Oliva; Dela Cruz, Charles S; Hautz, Wolf; Bonel, Harald M; Sverzellati, Nicola; Duncan, James S; Reyes, Mauricio; Poellinger, Alexander

Prognostic models in COVID-19 infection that predict severity: a systematic review

预测 COVID-19 感染严重程度的预后模型:系统评价

Buttia, Chepkoech; Llanaj, Erand; Raeisi-Dehkordi, Hamidreza; Kastrati, Lum; Amiri, Mojgan; Meçani, Renald; Taneri, Petek Eylul; Ochoa, Sergio Alejandro Gómez; Raguindin, Peter Francis; Wehrli, Faina; Khatami, Farnaz; Espínola, Octavio Pano; Rojas, Lyda Z; de Mortanges, Aurélie Pahud; Macharia-Nimietz, Eric Francis; Alijla, Fadi; Minder, Beatrice; Leichtle, Alexander B; Lüthi, Nora; Ehrhard, Simone; Que, Yok-Ai; Fernandes, Laurenz Kopp; Hautz, Wolf; Muka, Taulant

Machine Learning in Antibody Diagnostics for Inflammatory Bowel Disease Subtype Classification

机器学习在炎症性肠病亚型分类抗体诊断中的应用

Sokollik, Christiane; Pahud de Mortanges, Aurélie; Leichtle, Alexander B; Juillerat, Pascal; Horn, Michael P

GLP-1 Receptor Agonists and Coronary Arteries: From Mechanisms to Events

GLP-1受体激动剂与冠状动脉:从机制到事件

Pahud de Mortanges, Aurélie; Sinaci, Eldem; Salvador, Dante Jr; Bally, Lia; Muka, Taulant; Wilhelm, Matthias; Bano, Arjola

The Role of SGLT2 Inhibitors in Atherosclerosis: A Narrative Mini-Review

SGLT2抑制剂在动脉粥样硬化中的作用:简述

Pahud de Mortanges, Aurélie; Salvador, Dante Jr; Laimer, Markus; Muka, Taulant; Wilhelm, Matthias; Bano, Arjola

Exploratory Analysis of Qualitative MR Imaging Features for the Differentiation of Glioblastoma and Brain Metastases

探索性分析定性磁共振成像特征在胶质母细胞瘤与脑转移瘤鉴别诊断中的应用

Meier, Raphael; Pahud de Mortanges, Aurélie; Wiest, Roland; Knecht, Urspeter