| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Multi-perspective Model for Protein–Ligand-Binding Affinity Prediction
|
Zhang, Xianfeng
|
|
|
15 |
4 |
p. 696-709
|
artikel
|
| 2 |
An Improved Soft Subspace Clustering Algorithm Based on Particle Swarm Optimization for MR Image Segmentation
|
Ling, Lei
|
|
|
15 |
4 |
p. 560-577
|
artikel
|
| 3 |
A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer
|
Zhang, Zhuo
|
|
|
15 |
4 |
p. 663-677
|
artikel
|
| 4 |
CD47Binder: Identify CD47 Binding Peptides by Combining Next-Generation Phage Display Data and Multiple Peptide Descriptors
|
Li, Bowen
|
|
|
15 |
4 |
p. 578-589
|
artikel
|
| 5 |
Classification of Glomerular Pathology Images in Children Using Convolutional Neural Networks with Improved SE-ResNet Module
|
Kong, Xiang-Yong
|
|
|
15 |
4 |
p. 602-615
|
artikel
|
| 6 |
Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning
|
Liu, Zeye
|
|
|
15 |
4 |
p. 653-662
|
artikel
|
| 7 |
Haemodynamic Effects on the Development and Stability of Atherosclerotic Plaques in Arterial Blood Vessel
|
Lei, Weirui
|
|
|
15 |
4 |
p. 616-632
|
artikel
|
| 8 |
Identification of gene-level methylation for disease prediction
|
Augustine, Jisha
|
|
|
15 |
4 |
p. 678-695
|
artikel
|
| 9 |
Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis
|
Liu, Xingyi
|
|
|
15 |
4 |
p. 525-541
|
artikel
|
| 10 |
scFED: Clustering Identifying Cell Types of scRNA-Seq Data Based on Feature Engineering Denoising
|
Liu, Yang
|
|
|
15 |
4 |
p. 590-601
|
artikel
|
| 11 |
Spatial–Temporal EEG Fusion Based on Neural Network for Major Depressive Disorder Detection
|
Zhang, Bingtao
|
|
|
15 |
4 |
p. 542-559
|
artikel
|
| 12 |
StoneNet: An Efficient Lightweight Model Based on Depthwise Separable Convolutions for Kidney Stone Detection from CT Images
|
Asif, Sohaib
|
|
|
15 |
4 |
p. 633-652
|
artikel
|
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