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

Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging

利用弱监督的群体学习技术可实现磁共振成像中的乳腺癌自动检测

Saldanha, Oliver Lester; Zhu, Jiefu; Müller-Franzes, Gustav; Carrero, Zunamys I; Payne, Nicholas R; Escudero Sánchez, Lorena; Varoutas, Paul Christophe; Kyathanahally, Sreenath; Laleh, Narmin Ghaffari; Pfeiffer, Kevin; Ligero, Marta; Behner, Jakob; Abdullah, Kamarul A; Apostolakos, Georgios; Kolofousi, Chrysafoula; Kleanthous, Antri; Kalogeropoulos, Michail; Rossi, Cristina; Nowakowska, Sylwia; Athanasiou, Alexandra; Perez-Lopez, Raquel; Mann, Ritse; Veldhuis, Wouter; Camps, Julia; Schulz, Volkmar; Wenzel, Markus; Morozov, Sergey; Ciritsis, Alexander; Kuhl, Christiane; Gilbert, Fiona J; Truhn, Daniel; Kather, Jakob Nikolas

Explainable Precision Medicine in Breast MRI: A Combined Radiomics and Deep Learning Approach for the Classification of Contrast Agent Uptake

乳腺MRI中的可解释精准医疗:一种结合放射组学和深度学习的对比剂摄取分类方法

Nowakowska, Sylwia; Borkowski, Karol; Ruppert, Carlotta; Hejduk, Patryk; Ciritsis, Alexander; Landsmann, Anna; Marcon, Magda; Berger, Nicole; Boss, Andreas; Rossi, Cristina

Technical feasibility of automated blur detection in digital mammography using convolutional neural network

利用卷积神经网络进行数字乳腺X线摄影自动模糊检测的技术可行性

Nowakowska, S; Vescoli, V; Schnitzler, T; Ruppert, C; Borkowski, K; Boss, A; Rossi, C; Wein, B; Ciritsis, A

Automatic Detection of Post-Operative Clips in Mammography Using a U-Net Convolutional Neural Network

基于 U-Net 卷积神经网络的乳腺X光片术后夹片自动检测

Schnitzler, Tician; Ruppert, Carlotta; Hejduk, Patryk; Borkowski, Karol; Kajüter, Jonas; Rossi, Cristina; Ciritsis, Alexander; Landsmann, Anna; Zaytoun, Hasan; Boss, Andreas; Schindera, Sebastian; Burn, Felice

Generalizable attention U-Net for segmentation of fibroglandular tissue and background parenchymal enhancement in breast DCE-MRI

用于乳腺动态对比增强磁共振成像中纤维腺体组织和背景实质增强分割的可泛化注意力U-Net

Nowakowska, Sylwia; Borkowski, Karol; Ruppert, Carlotta M; Landsmann, Anna; Marcon, Magda; Berger, Nicole; Boss, Andreas; Ciritsis, Alexander; Rossi, Cristina

Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network

基于深度卷积神经网络的乳腺超声自动成像(ABUS)图像全自动分类(BI-RADS)

Hejduk, Patryk; Marcon, Magda; Unkelbach, Jan; Ciritsis, Alexander; Rossi, Cristina; Borkowski, Karol; Boss, Andreas

Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classification

光子计数专用乳腺CT中的放射组学:纹理分析在乳腺密度分类中的潜力

Landsmann, Anna; Ruppert, Carlotta; Wieler, Jann; Hejduk, Patryk; Ciritsis, Alexander; Borkowski, Karol; Wurnig, Moritz C; Rossi, Cristina; Boss, Andreas

Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network

利用深度卷积神经网络检测乳房X光片上的异常腋窝淋巴结

Abel, Frederik; Landsmann, Anna; Hejduk, Patryk; Ruppert, Carlotta; Borkowski, Karol; Ciritsis, Alexander; Rossi, Cristina; Boss, Andreas

BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network

基于深度卷积神经网络的BI-RADS乳腺X线摄影软组织不透明区域分类

Sabani, Albin; Landsmann, Anna; Hejduk, Patryk; Schmidt, Cynthia; Marcon, Magda; Borkowski, Karol; Rossi, Cristina; Ciritsis, Alexander; Boss, Andreas

Quantitative (23) Na-MRI of the intervertebral disk at 3 T

3T磁共振成像定量分析(23)椎间盘钠磁共振成像

Çavuşoğlu, Mustafa; Pazahr, Shila; Ciritsis, Alexander P; Rossi, Cristina