nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A Detailed Systematic Review on Retinal Image Segmentation Methods
|
Panda, Nihar Ranjan |
|
|
35 |
5 |
p. 1250-1270 |
artikel |
2 |
A Novel Quantitative Evaluation of Bone Formation After Opening Wedge High Tibial Osteotomy Using Tomosynthesis
|
Ishibashi, Kyota |
|
|
35 |
5 |
p. 1373-1381 |
artikel |
3 |
Automated Cervical Spinal Cord Segmentation in Real-World MRI of Multiple Sclerosis Patients by Optimized Hybrid Residual Attention-Aware Convolutional Neural Networks
|
Bueno, América |
|
|
35 |
5 |
p. 1131-1142 |
artikel |
4 |
Automated Protocoling for MRI Exams—Challenges and Solutions
|
Denck, Jonas |
|
|
35 |
5 |
p. 1293-1302 |
artikel |
5 |
Automatic Brain Tumor Classification via Lion Plus Dragonfly Algorithm
|
Leena, B. |
|
|
35 |
5 |
p. 1382-1408 |
artikel |
6 |
Automatic Segmentation and Measurement of Choroid Layer in High Myopia for OCT Imaging Using Deep Learning
|
Xu, Xiangcong |
|
|
35 |
5 |
p. 1153-1163 |
artikel |
7 |
Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine
|
Sethy, Prabira Kumar |
|
|
35 |
5 |
p. 1207-1216 |
artikel |
8 |
Chest Radiographs Using a Context-Fusion Convolution Neural Network (CNN): Can It Distinguish the Etiology of Community-Acquired Pneumonia (CAP) in Children?
|
Hu, Shasha |
|
|
35 |
5 |
p. 1079-1090 |
artikel |
9 |
Classification of Glaucoma Stages Using Image Empirical Mode Decomposition from Fundus Images
|
Parashar, Deepak |
|
|
35 |
5 |
p. 1283-1292 |
artikel |
10 |
Collaborative Development of a PACS-Integrated Quality Control Dashboard: a Single Institutional Experience
|
Pierce, Jonathan D. |
|
|
35 |
5 |
p. 1350-1357 |
artikel |
11 |
Correction to: Journal of Digital Imaging
|
Filice, Ross W. |
|
|
35 |
5 |
p. 1419 |
artikel |
12 |
Deep Reinforcement Learning with Automated Label Extraction from Clinical Reports Accurately Classifies 3D MRI Brain Volumes
|
Stember, Joseph Nathaniel |
|
|
35 |
5 |
p. 1143-1152 |
artikel |
13 |
DICODerma: A Practical Approach for Metadata Management of Images in Dermatology
|
Eapen, Bell Raj |
|
|
35 |
5 |
p. 1231-1237 |
artikel |
14 |
Differentiate Thyroid Follicular Adenoma from Carcinoma with Combined Ultrasound Radiomics Features and Clinical Ultrasound Features
|
Yu, Bing |
|
|
35 |
5 |
p. 1362-1372 |
artikel |
15 |
Endoscopy Artefact Detection by Deep Transfer Learning of Baseline Models
|
Yin, Tang-Kai |
|
|
35 |
5 |
p. 1101-1110 |
artikel |
16 |
Evaluation Challenges for the Application of Extended Reality Devices in Medicine
|
Beams, Ryan |
|
|
35 |
5 |
p. 1409-1418 |
artikel |
17 |
Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training—The Case of Cancer Detection
|
Reshma, Ismat Ara |
|
|
35 |
5 |
p. 1326-1349 |
artikel |
18 |
Fully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT Cubes
|
López-Varela, Emilio |
|
|
35 |
5 |
p. 1271-1282 |
artikel |
19 |
Initial Experience with a COVID-19 Screening Chatbot Before Radiology Appointments
|
Wang, Winston T. |
|
|
35 |
5 |
p. 1303-1307 |
artikel |
20 |
Machine Learning–Aided Chronic Kidney Disease Diagnosis Based on Ultrasound Imaging Integrated with Computer-Extracted Measurable Features
|
Lee, Sangmi |
|
|
35 |
5 |
p. 1091-1100 |
artikel |
21 |
Maximum Entropy Technique and Regularization Functional for Determining the Pharmacokinetic Parameters in DCE-MRI
|
Amini Farsani, Zahra |
|
|
35 |
5 |
p. 1176-1188 |
artikel |
22 |
Multimodal Medical Image Fusion Using Stacked Auto-encoder in NSCT Domain
|
Tawfik, Nahed |
|
|
35 |
5 |
p. 1308-1325 |
artikel |
23 |
Natural Language Processing for Imaging Protocol Assignment: Machine Learning for Multiclass Classification of Abdominal CT Protocols Using Indication Text Data
|
Xavier, Brian Arun |
|
|
35 |
5 |
p. 1120-1130 |
artikel |
24 |
Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives
|
Kundu, Swagata |
|
|
35 |
5 |
p. 1111-1119 |
artikel |
25 |
New Software for DQE Calculation in Digital Mammography Compliant with IEC 62220–1-2
|
Dobrzyńska, Magdalena |
|
|
35 |
5 |
p. 1069-1078 |
artikel |
26 |
On the Road to Digital Pathology in Denmark—National Survey and Interviews
|
Smith, Julie |
|
|
35 |
5 |
p. 1189-1206 |
artikel |
27 |
Radiology’s “Smart New Deal”
|
Enzmann, Dieter R. |
|
|
35 |
5 |
p. 1358-1361 |
artikel |
28 |
Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net
|
Nofallah, Shima |
|
|
35 |
5 |
p. 1238-1249 |
artikel |
29 |
Skin Lesion Area Segmentation Using Attention Squeeze U-Net for Embedded Devices
|
Pennisi, Andrea |
|
|
35 |
5 |
p. 1217-1230 |
artikel |
30 |
Using Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual Prompts
|
Gandomkar, Ziba |
|
|
35 |
5 |
p. 1164-1175 |
artikel |