nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A contrast set mining based approach for cancer subtype analysis
|
Trasierras, A.M. |
|
|
143 |
C |
p. |
artikel |
2 |
Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction
|
Jakaite, Livija |
|
|
143 |
C |
p. |
artikel |
3 |
A diagnostic room for lower limb amputee based on virtual reality and an intelligent space
|
e Silva, Pablo P. |
|
|
143 |
C |
p. |
artikel |
4 |
ADscreen: A speech processing-based screening system for automatic identification of patients with Alzheimer's disease and related dementia
|
Zolnoori, Maryam |
|
|
143 |
C |
p. |
artikel |
5 |
A feature selection framework for anxiety disorder analysis using a novel multiview harris hawk optimization algorithm
|
Hamed, Ahmed |
|
|
143 |
C |
p. |
artikel |
6 |
A general text mining method to extract echocardiography measurement results from echocardiography documents
|
Szekér, Szabolcs |
|
|
143 |
C |
p. |
artikel |
7 |
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction
|
S., Hemalatha |
|
|
143 |
C |
p. |
artikel |
8 |
Applying dual models on optimized LSTM with U-net segmentation for breast cancer diagnosis using mammogram images
|
Sivamurugan, J. |
|
|
143 |
C |
p. |
artikel |
9 |
Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar
|
Mamalakis, Michail |
|
|
143 |
C |
p. |
artikel |
10 |
A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression
|
Usman, Tiwalade Modupe |
|
|
143 |
C |
p. |
artikel |
11 |
Cause of Death estimation from Verbal Autopsies: Is the Open Response redundant or synergistic?
|
Cejudo, Ander |
|
|
143 |
C |
p. |
artikel |
12 |
CEHMR: Curriculum learning enhanced hierarchical multi-label classification for medication recommendation
|
Sun, Mengxuan |
|
|
143 |
C |
p. |
artikel |
13 |
Development of a Bispectral index score prediction model based on an interpretable deep learning algorithm
|
Hwang, Eugene |
|
|
143 |
C |
p. |
artikel |
14 |
Do Japanese word-embedded representations obtained in the academic corpus retain the medical concepts of “infarction”?
|
Yokokawa, Daiki |
|
|
143 |
C |
p. |
artikel |
15 |
Domain randomization using synthetic electrocardiograms for training neural networks
|
Kaisti, Matti |
|
|
143 |
C |
p. |
artikel |
16 |
Editorial Board
|
|
|
|
143 |
C |
p. |
artikel |
17 |
Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism
|
Mayor Torres, Juan Manuel |
|
|
143 |
C |
p. |
artikel |
18 |
FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval
|
Yearley, Alexander G. |
|
|
143 |
C |
p. |
artikel |
19 |
Frequent temporal patterns of physiological and biological biomarkers and their evolution in sepsis
|
Jazayeri, Ali |
|
|
143 |
C |
p. |
artikel |
20 |
Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges
|
Berger, Laurenz |
|
|
143 |
C |
p. |
artikel |
21 |
How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare
|
Allgaier, Johannes |
|
|
143 |
C |
p. |
artikel |
22 |
In Memoriam David Riaño, 1968–2022
|
ten Teije, Annette |
|
|
143 |
C |
p. |
artikel |
23 |
Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups
|
Amado-Caballero, Patricia |
|
|
143 |
C |
p. |
artikel |
24 |
Learnable DoG convolutional filters for microcalcification detection
|
Cantone, Marco |
|
|
143 |
C |
p. |
artikel |
25 |
Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: A systematic review of epigenome-wide studies
|
Yuan, Tanwei |
|
|
143 |
C |
p. |
artikel |
26 |
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data
|
Eastwood, Mark |
|
|
143 |
C |
p. |
artikel |
27 |
Medical visual question answering: A survey
|
Lin, Zhihong |
|
|
143 |
C |
p. |
artikel |
28 |
MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks
|
Huang, Zhenxing |
|
|
143 |
C |
p. |
artikel |
29 |
Monkeypox diagnosis using ensemble classification
|
Rabie, Asmaa H. |
|
|
143 |
C |
p. |
artikel |
30 |
Non-invasive localization of the ventricular excitation origin without patient-specific geometries using deep learning
|
Pilia, Nicolas |
|
|
143 |
C |
p. |
artikel |
31 |
Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets
|
Malla, SreeJagadeesh |
|
|
143 |
C |
p. |
artikel |
32 |
Osteoporosis prediction in lumbar spine X-ray images using the multi-scale weighted fusion contextual transformer network
|
Xue, Linyan |
|
|
143 |
C |
p. |
artikel |
33 |
Personalized event prediction for Electronic Health Records
|
Lee, Jeong Min |
|
|
143 |
C |
p. |
artikel |
34 |
Preface: Special Issue on Knowledge Representation and Reasoning for Healthcare Processes
|
Zerbato, Francesca |
|
|
143 |
C |
p. |
artikel |
35 |
Review on deep learning fetal brain segmentation from Magnetic Resonance images
|
Ciceri, Tommaso |
|
|
143 |
C |
p. |
artikel |
36 |
Self-supervised out-of-distribution detection in wireless capsule endoscopy images
|
Quindós, Arnau |
|
|
143 |
C |
p. |
artikel |
37 |
Transformers for extracting breast cancer information from Spanish clinical narratives
|
Solarte-Pabón, Oswaldo |
|
|
143 |
C |
p. |
artikel |
38 |
Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images
|
Wu, Yanan |
|
|
143 |
C |
p. |
artikel |