| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A deep learning pipeline for the automated segmentation of posterior limb of internal capsule in preterm neonates
|
Gruber, Nadja
|
|
|
132 |
C |
p.
|
artikel
|
| 2 |
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system
|
Dou, Tai
|
|
|
132 |
C |
p.
|
artikel
|
| 3 |
An interpretable CNN-based CAD system for skin lesion diagnosis
|
López-Labraca, Javier
|
|
|
132 |
C |
p.
|
artikel
|
| 4 |
A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation
|
Hao, Degan
|
|
|
132 |
C |
p.
|
artikel
|
| 5 |
Automatic depression score estimation with word embedding models
|
Pérez, Anxo
|
|
|
132 |
C |
p.
|
artikel
|
| 6 |
Automatic diagnosis of arrhythmia with electrocardiogram using multiple instance learning: From rhythm annotation to heartbeat prediction
|
Zhang, Xuan
|
|
|
132 |
C |
p.
|
artikel
|
| 7 |
Boosting lesion annotation via aggregating explicit relations in external medical knowledge graph
|
Chen, Yixin
|
|
|
132 |
C |
p.
|
artikel
|
| 8 |
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images
|
Lee, Yan-Wei
|
|
|
132 |
C |
p.
|
artikel
|
| 9 |
Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images
|
Bi, Lei
|
|
|
132 |
C |
p.
|
artikel
|
| 10 |
Defining factors in hospital admissions during COVID-19 using LSTM-FCA explainable model
|
Md Saleh, Nurul Izrin
|
|
|
132 |
C |
p.
|
artikel
|
| 11 |
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study
|
Garrucho, Lidia
|
|
|
132 |
C |
p.
|
artikel
|
| 12 |
Editorial Board
|
|
|
|
132 |
C |
p.
|
artikel
|
| 13 |
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology
|
Bidgoli, Azam Asilian
|
|
|
132 |
C |
p.
|
artikel
|
| 14 |
Explainable multiple abnormality classification of chest CT volumes
|
Draelos, Rachel Lea
|
|
|
132 |
C |
p.
|
artikel
|
| 15 |
Global and local attentional feature alignment for domain adaptive nuclei detection in histopathology images
|
Wang, Zhi
|
|
|
132 |
C |
p.
|
artikel
|
| 16 |
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications
|
Rjoob, Khaled
|
|
|
132 |
C |
p.
|
artikel
|
| 17 |
Machine learning-based models for gestational diabetes mellitus prediction before 24–28 weeks of pregnancy: A review
|
Mennickent, Daniela
|
|
|
132 |
C |
p.
|
artikel
|
| 18 |
Mathematical modeling and AI based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets
|
Ahmad, Muhammad Rayees
|
|
|
132 |
C |
p.
|
artikel
|
| 19 |
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network
|
Boutillon, Arnaud
|
|
|
132 |
C |
p.
|
artikel
|
| 20 |
Predicting disease progress with imprecise lab test results
|
Wang, Mei
|
|
|
132 |
C |
p.
|
artikel
|
| 21 |
Quality assessment of machine learning models for diagnostic imaging in orthopaedics: A systematic review
|
Lans, Amanda
|
|
|
132 |
C |
p.
|
artikel
|
| 22 |
Septic shock prediction and knowledge discovery through temporal pattern mining
|
Agor, Joseph K.
|
|
|
132 |
C |
p.
|
artikel
|
| 23 |
Suicidal behaviour prediction models using machine learning techniques: A systematic review
|
Nordin, Noratikah
|
|
|
132 |
C |
p.
|
artikel
|
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