nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
An MRI-Based Radiomics Nomogram to Distinguish Ductal Carcinoma In Situ with Microinvasion From Ductal Carcinoma In Situ of Breast Cancer
|
Wu, Zengjie |
|
|
30 |
S2 |
p. S71-S81 |
artikel |
2 |
Contrast-Enhanced Ultrasound and High Sensitive Doppler for Monitoring Outcomes of Uterine Artery Embolization
|
Machado, Priscilla |
|
|
30 |
S2 |
p. S211-S219 |
artikel |
3 |
Deep Learning-based Automatic Diagnosis of Breast Cancer on MRI Using Mask R-CNN for Detection Followed by ResNet50 for Classification
|
Zhang, Yang |
|
|
30 |
S2 |
p. S161-S171 |
artikel |
4 |
Deep Learning Model Based on Dual-Modal Ultrasound and Molecular Data for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer
|
Huang, Jia-Xin |
|
|
30 |
S2 |
p. S50-S61 |
artikel |
5 |
Differential Diagnosis of Benign and Malignant Breast Papillary Neoplasms on MRI With Non-mass Enhancement
|
Zhou, Juan |
|
|
30 |
S2 |
p. S127-S132 |
artikel |
6 |
Fetal Outcomes and Prognostic Factors After Radiofrequency Ablation for the Selective Reduction in Complicated Monochorionic Multiple Pregnancies
|
Rahimi-Sharbaf, Fatemeh |
|
|
30 |
S2 |
p. S184-S191 |
artikel |
7 |
Image Augmentation based on Variational Autoencoder for Breast Tumor Segmentation
|
Balaji, K. |
|
|
30 |
S2 |
p. S172-S183 |
artikel |
8 |
Improved Differential Diagnosis Based on BI-RADS Descriptors and Apparent Diffusion Coefficient for Breast Lesions: A Multiparametric MRI Analysis as Compared to Kaiser Score
|
Meng, Lingsong |
|
|
30 |
S2 |
p. S93-S103 |
artikel |
9 |
Integration of Handheld Ultrasound or Automated Breast Ultrasound among Women with Negative Mammographic Screening Findings: A Multi-center Population-based Study in China
|
Ren, Wenhui |
|
|
30 |
S2 |
p. S114-S126 |
artikel |
10 |
Interval Breast Cancers Versus Screen Detected Breast Cancers: A Retrospective Cohort Study
|
Ambinder, Emily B. |
|
|
30 |
S2 |
p. S154-S160 |
artikel |
11 |
Intra- and Peritumoral Radiomics of Contrast-Enhanced Mammography Predicts Axillary Lymph Node Metastasis in Patients With Breast Cancer: A Multicenter Study
|
Wang, Zhongyi |
|
|
30 |
S2 |
p. S133-S142 |
artikel |
12 |
Linear Regression Modeling Based Scoring System to Reduce Benign Breast Biopsies Using Multi-parametric US with Color Doppler and SWE
|
Demirci M.D., Burcu Özdemir |
|
|
30 |
S2 |
p. S143-S153 |
artikel |
13 |
Magnetic Resonance Imaging-guided Focused Ultrasound Surgery in a Swine Adenomyosis Model
|
Zhang, Qi |
|
|
30 |
S2 |
p. S220-S226 |
artikel |
14 |
Microwave Breast Lesion Classification – Results from Clinical Investigation of the SAFE Microwave Breast Cancer System
|
Janjic, Aleksandar |
|
|
30 |
S2 |
p. S1-S8 |
artikel |
15 |
Pelvic Recovery After Endometrial Cancer Treatment: Patient-Reported Outcomes and MRI Findings
|
Maturen, Katherine E. |
|
|
30 |
S2 |
p. S202-S210 |
artikel |
16 |
Predicting Neoadjuvant Chemotherapy Response and High-Grade Serous Ovarian Cancer From CT Images in Ovarian Cancer with Multitask Deep Learning: A Multicenter Study
|
Yin, Rui |
|
|
30 |
S2 |
p. S192-S201 |
artikel |
17 |
Prediction of Axillary Lymph Node Metastasis in Early-stage Triple-Negative Breast Cancer Using Multiparametric and Radiomic Features of Breast MRI
|
Song, Sung Eun |
|
|
30 |
S2 |
p. S25-S37 |
artikel |
18 |
Prediction of Clinical Molecular Typing of Breast Invasive Ductal Carcinoma Using 18F-FDG PET/CT Dual-Phase Imaging
|
Zhang, Jiangong |
|
|
30 |
S2 |
p. S82-S92 |
artikel |
19 |
Radiomics Based on DCE-MRI for Predicting Response to Neoadjuvant Therapy in Breast Cancer
|
Zeng, Qiao |
|
|
30 |
S2 |
p. S38-S49 |
artikel |
20 |
The Clinical Application of Artificial Intelligence Assisted Contrast-Enhanced Ultrasound on BI-RADS Category 4 Breast Lesions
|
Wang, Yuqun |
|
|
30 |
S2 |
p. S104-S113 |
artikel |
21 |
Treatment-Induced Bone Marrow Enhancement at MRI in Breast Cancer Patients Receiving Granulocyte-Colony Stimulating Factor Adjunct to Chemotherapy
|
Sorin, Vera |
|
|
30 |
S2 |
p. S9-S15 |
artikel |
22 |
Use of Pretreatment Multiparametric MRI to Predict Tumor Regression Pattern to Neoadjuvant Chemotherapy in Breast Cancer
|
Liu, Chen |
|
|
30 |
S2 |
p. S62-S70 |
artikel |
23 |
What Should We Know in Postoperative Surveillance Imaging After Oncoplastic Breast-Conserving Surgery with Pellet-Type Acellular Dermal Matrix?
|
An, Yeong Yi |
|
|
30 |
S2 |
p. S16-S24 |
artikel |