nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A Deep-Learning System for Fully-Automated Peripherally Inserted Central Catheter (PICC) Tip Detection
|
Lee, Hyunkwang |
|
2017 |
31 |
4 |
p. 393-402 |
artikel |
2 |
A Novel Method for Correcting Non-uniform/Poor Illumination of Color Fundus Photographs
|
Saha, Sajib Kumar |
|
2017 |
31 |
4 |
p. 553-561 |
artikel |
3 |
Application of Color Transformation Techniques in Pediatric Spinal Cord MR Images: Typically Developing and Spinal Cord Injury Population
|
Alizadeh, Mahdi |
|
2018 |
31 |
4 |
p. 543-552 |
artikel |
4 |
Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT
|
Umehara, Kensuke |
|
2017 |
31 |
4 |
p. 441-450 |
artikel |
5 |
App Review: The Radiology Assistant 2.0
|
Wood, Lawrence E. |
|
2018 |
31 |
4 |
p. 383-386 |
artikel |
6 |
Assessing Documentation of Critical Imaging Result Follow-up Recommendations in Emergency Department Discharge Instructions
|
Gupta, Anurag |
|
2017 |
31 |
4 |
p. 562-567 |
artikel |
7 |
Automated Segmentation and Quantification of Drusen in Fundus and Optical Coherence Tomography Images for Detection of ARMD
|
Khalid, Samina |
|
2017 |
31 |
4 |
p. 464-476 |
artikel |
8 |
Characterization of Pulmonary Nodules Based on Features of Margin Sharpness and Texture
|
Ferreira, José Raniery |
|
2017 |
31 |
4 |
p. 451-463 |
artikel |
9 |
Comparative Approach of MRI-Based Brain Tumor Segmentation and Classification Using Genetic Algorithm
|
Bahadure, Nilesh Bhaskarrao |
|
2018 |
31 |
4 |
p. 477-489 |
artikel |
10 |
Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease
|
Kim, Guk Bae |
|
2017 |
31 |
4 |
p. 415-424 |
artikel |
11 |
Detection of Lung Contour with Closed Principal Curve and Machine Learning
|
Peng, Tao |
|
2018 |
31 |
4 |
p. 520-533 |
artikel |
12 |
Development and Validation of Segmentation Method for Lung Cancer Volumetry on Chest CT
|
Kim, Young Jae |
|
2018 |
31 |
4 |
p. 505-512 |
artikel |
13 |
Implementation of Enterprise Imaging Strategy at a Chinese Tertiary Hospital
|
Li, Shanshan |
|
2017 |
31 |
4 |
p. 534-542 |
artikel |
14 |
MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling
|
Mutasa, Simukayi |
|
2018 |
31 |
4 |
p. 513-519 |
artikel |
15 |
Outer Wall Segmentation of Abdominal Aortic Aneurysm by Variable Neighborhood Search Through Intensity and Gradient Spaces
|
Siriapisith, Thanongchai |
|
2018 |
31 |
4 |
p. 490-504 |
artikel |
16 |
Quantifying Analysis of Uncertainty in Medical Reporting: Creation of User and Context-Specific Uncertainty Profiles
|
Reiner, Bruce I. |
|
2018 |
31 |
4 |
p. 379-382 |
artikel |
17 |
Quantitative Image Feature Engine (QIFE): an Open-Source, Modular Engine for 3D Quantitative Feature Extraction from Volumetric Medical Images
|
Echegaray, Sebastian |
|
2017 |
31 |
4 |
p. 403-414 |
artikel |
18 |
Quantitative Volumetric K-Means Cluster Segmentation of Fibroglandular Tissue and Skin in Breast MRI
|
Niukkanen, Anton |
|
2017 |
31 |
4 |
p. 425-434 |
artikel |
19 |
Rethinking Skin Lesion Segmentation in a Convolutional Classifier
|
Burdick, Jack |
|
2017 |
31 |
4 |
p. 435-440 |
artikel |
20 |
Transforming Dermatologic Imaging for the Digital Era: Metadata and Standards
|
Caffery, Liam J. |
|
2018 |
31 |
4 |
p. 568-577 |
artikel |
21 |
Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective
|
Mohamed, Aly A. |
|
2017 |
31 |
4 |
p. 387-392 |
artikel |